Data Entry Jobs in Qatar

Job description:<br><br> Job Purpose Purpose of the Role: Technical role responsible for developing Data Governance controls using NOC Data Governance solutions on data repositories and Data Platform ensuring data management, quality and responsibilities are in place to improve the overall data governance maturity. Digital use cases and application solutions data governance deliverables to ensure data used and presented are accurate and trusted. Interface with all NOC business entities especially the users of production operations data to ensure data governance practices and workflows are designed and implemented on data repositories (i.e., data quality rules) to improved business decisions and increase operational efficiency. JOB DIMENSIONS Structured and unstructured data for more than 100 Data Domains, 650 Data Families and 100 Data Sources/Solutions Manage 4 solutions and work with 2 service contracts. Interface with the digital team to implement data governance on the digital use cases to ensure data used and presented is fit for decision making. Interface with the identified data roles within 16 departments, which are Data Owners (Leadership), Data Stewards (Data SMEs) and Data Custodians (Solution SMEs) to capture the data requirements and improvements on the tools. Interface with information security to ensure security controls are applied on the data used (i.e. information classification) Support maturing data knowledge and practices (i.e. end user training) Key Accountabilities Key Accountabilities Data Governance solutions management and maintenance (i.e., data quality, data cataloging, metadata management) Implement data governance practices on AI, digital use cases, data platforms and NOC solutions. Evaluate and apply data governance practices on identified key data elements and any data hosted outside of NOC premise (i.e., cloud). Review vendors’ deliverables and communicate corrective actions. Enable NOC data literacy and organization upskilling Key Accountabilities ACTIVITIES Define and implement data governance processes, practices and rules as requested by data owners and steward on data governance tools (i.e. Informatica). Work closely with the internal teams team to implement data governance on the data that will be used in AI, advanced analytics and digital use cases and map it to the enterprise data governance practices. Develop and maintain AI governance, observability, and quality assurance capabilities, including agent access controls, audit trails, compliance-driven configurations, and automated monitoring for data quality, model performance, bias, and drift, while supporting incident investigation and remediation of AI-related risks. Apply data governance requirements on Key Data Elements identified by the business. Capture and implement data governance requirements on data before migrating to cloud. Perform resource creation and extraction of core databases metadata and profiling metadata, business term association, attribute management, data domains, rules, profiling information and troubleshooting, and performance tuning in EDC. Analysis business data and propose data quality rules to the business then implement the selected/validated rules and produce data quality scorecards that are regularly updated. Work with stakeholders to identify trusted source, owner, and steward for each of the Key Data Elements (KDE) and define business definition and business rules. Manage metadata repositories through executing onboarding of technical and business metadata on data governance solutions, ensuring the population of data lineage and linkage between the technical and business metadata. Use data profiling and Informatica EDC/IDQ to discover patterns and tasks that can be automated, and identify ways to improve data reliability, performance, efficiency, and quality. Implement metadata catalog, dictionaries, business user glossaries on relative tools leverage Oil and Gas standard practices to ease the data discovery and utilization. Maintain an API and a dashboard that showcases the Data Governance maturity KPIs for every department. Implement and maintain a Data Certification tool that provides evidence of complete and accurate data migration from source to destination. Key Accountabilities Evaluate and recommend innovative solutions to mature NOC’s data operations and overall data governance. Implement enterprise metadata standards, guidelines, and processes to ensure quality metadata and support for ongoing data governance. Capture data lineage and data flow between systems, defining the transformation that data are subject to while moving between systems in accordance with App and Data IS SMEs. Build and maintain effective working relationships with key entities and stakeholders in NOC and other parties as needed. Support NOC to define new requirements, participate in end user meetings to derive and define the business requirement, propose cost effective solutions for data governance and familiarize the team with the requirements, specifications, design targets & techniques to support task performance and delivery. Review & propose industry best tools & technology for ever changing business rules and data set from data governance point of view, Conduct Proof of Concepts (POC) with new tools & technologies to derive convincing benchmarks and deliver value-based solution in Quick time. Interface with the department Architects to ensure Data governance principles and rules are considered. Launch data quality improvement actions for Key Data Elements Competencies Delegate Appropriately and Communicate Effectively Demonstrate Adaptability in Managing Complex Situations Demonstrate Learning Agility and Drive Innovation Develop Emotional Intelligence and Cultural Competence Develop Others and Institutionalise Knowledge Develop Talent for the Future NOC Sustainability Facilitate Collaboration and Sense of Community Improve Safety, Technical Proficiency and Results Lead By Example with NOC Values Set Purpose, Strategic Direction and Company Plan Strengthen Accountability and Continuous Improvement Think and Act in Stakeholder-Centric Ways Education Bachelor’s degree from an accredited university in Information Management or Computer Science or an engineering/business related equivalent. Certification Experience 10 years of experience in Data Management/Governance preferably in Oil and Gas upstream operations. 8+ years of experience in Data Governance projects using data governance tools (i.e., informatica). Deep experience in petroleum operations data and good understanding of the related data sources Full understanding of Data Governance concepts (e.g., cataloging, profiling, ownership/stewardship, Data Quality, Data Catalog ...etc.) Certification and strong technical and analytical skills, as well as hands-on experience with Informatica data governance tools (Axon, IDQ, EDC) Deep technical experience in creating data governance workflows, implement policies, guidelines, tools, metrics, and standards for managing metadata. Deep technical experience integrating Informatica EDC/IDQ with Axon. Deep technical experience in Metadata Extraction & build lineage among assets. Deep technical experience in implementing data quality rules using Informatica DQ Strong hands-on experience designing, developing, deploying, testing, and administrating Informatica data governance tools. Experience in database technologies and techniques (e.g., SQL, NoSQL, Oracle, …etc) Experience establishing master data and reference data for domain entities using Informatica MDM. Able to make quick decisions and solve technical problems to provide an efficient environment for project implementation. Awareness of data integration patterns, data modeling and data architecture Ability to work in Agile environment, and to regularly learn and adopt new technology. Ability to communicate across all levels of the organization and work with diverse project teams. Fluent English both spoken and written

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Job Description<br><p><strong>We are</strong> currently looking for<strong> Data Quality Lead </strong>for our<strong> Qatar </strong>operations</p><br><p><strong>Qualifications &amp; Experience</strong></p><br><ul><li>Bachelor's degree in Information Management, Computer Science, Data Analytics, Business Administration, or related field.</li><li>8-12 years of experience in Data Governance, Data Quality, Data Management, Risk Data Management, Regulatory Reporting, or related domains.</li><li>Experience within banking, financial services, or other highly regulated industries is required.</li><li>Strong knowledge of Data Quality Management, Data Governance, Data Lineage, Metadata Management, Reference Data, and Master Data Management.</li><li>Experience with Data Governance and Data Quality platforms such as Informatica, Collibra, Microsoft Purview, ABACUS, or equivalent solutions.</li></ul><p><strong>Key Responsibilities</strong></p><br><ul><li>Data Quality Governance &amp; Framework</li><li>Develop, maintain, and enhance Data Quality Framework, standards, procedures, methodologies, and operating model.</li><li>Define enterprise data quality principles, controls, KPIs, KRIs, scorecards, and reporting requirements.</li><li>Ensure alignment with the Data Governance Framework, Data Management Policy, and regulatory expectations, including QCB requirements.</li><li>Data Quality Oversight &amp; Monitoring</li><li>Define and oversee data quality rules covering accuracy, completeness, consistency, validity, timeliness, uniqueness, and integrity.</li><li>Establish and monitor data quality performance for Critical Data Elements (CDEs) across business and support functions.</li><li>Monitor enterprise data quality performance through dashboards, scorecards, and management reporting.</li><li>Provide regular reporting to Data Governance Committees and senior management on data quality trends, risks, and remediation progress.</li><li>Data Issue Management &amp; Escalation</li><li>Lead Enterprise Data Quality Issue Management processes, including identification, impact assessment, root cause analysis, remediation tracking, and closure validation.</li><li>Maintain Enterprise Data Quality Issue management register</li><li>Challenge and oversee remediation plans developed by Data Owners, Data Stewards, and technology teams.</li><li>Escalate material data quality risks and unresolved issues through appropriate governance committees for timely resolution.</li><li>Regulatory Reporting &amp; Risk Data Quality</li><li>Oversee data quality controls supporting regulatory, financial, risk, compliance, and management reporting.</li><li>Coordinate with Risk, Finance, Compliance, and Business units to improve the quality of data supporting regulatory submissions.</li><li>Support regulatory examinations, audits, and data-related reviews.</li><li>Data &amp; AI Enablement</li><li>Ensure that data used in AI, advanced analytics, and machine learning initiatives meets approved quality standards.</li><li>Collaborate with AI Governance teams to assess data quality risks impacting AI models and AI-enabled business processes.</li><li>Support the implementation of data quality controls throughout the data and AI lifecycle.</li><li>Stakeholder Engagement</li><li>Partner with Data Owners, Data Stewards, Business Units, IT, Risk, Compliance, Finance, Operations, and subsidiaries to improve data quality maturity.</li><li>Promote data quality awareness, accountability, and stewardship across the Group.</li><li>Facilitate working groups and governance forums focused on data quality improvement initiatives.</li></ul><p><strong>Joining time frame: 2 weeks (maximum 1 month)</strong></p><br><br><br> </div>

Job Description<br><br>JOB TITLE: Lead, Data Governance<br><br>Accountabilities<br><br>Purpose of the Role<br><br>Lead of the central team responsible for driving all company entities to have accurate, consistent, available, and high quality data across around 120 data domains, 870 data families Drives the implementation of data governance for the digital use cases and digital data platform operations to ensure the integrity of data used and presented in the use cases and support decision making Implement data governance strategy for the organization. Leads the planning, evaluating, and selecting the right data governance capabilities for the enterprise. Advisor to the leadership team on enterprise wide data governance solutions and challenges.<br><br>Key Accountabilities<br><br>Drives the implementation of the enterprise data governance framework, strategy, and roadmap Drives the implementation of data governance practices in AI, advanced analytics, digital use cases and data platform operations Implementation and maintenance of solutions to manage data governance Company data literacy and organization upskilling Definition of polices, standards and guidelines for data governance and monitor adoption Budget management for operational costs and data investments<br><br>JOB DIMENSIONS<br><br>Managing an annual budget of approx. USD $2MManaging 2 direct reports5 service contracts Lead of a central team driving the improvement of data governance for 16 department Involves close working relations with the digital team, department focal points and leadership, data owners, and data stewards as well as contractors<br><br>ACTIVITIES<br><br>Manage enterprise data governance framework, strategy, and maturity<br><br>Lead data governance to promote data access, quality, and analytical capability. Governance can include a user training program, a data roles model, and data standards. Strives to reduce the cost of managing data and increase the value of the data. Lead the improvement of data literacy across company to upskill the organization on the value and use of data Measure enterprise data governance maturity and set yearly plans to improvement goals Represents the DM team and enterprise data stewards at leadership meetings. Develops and gives oral presentations on the power and value of data. Leads and/or serve steering committees and helps leadership use its data effectively at these meetings. (i.e. Data Community, Data Council...etc.) Apply expert knowledge and standards to analyze enterprise results and reports. Recommends and pursues collaboration and provides appropriate technical guidance to ensure the success of such collaborations. Interacts with business areas and IT on DM solutions.<br><br>Embed the data governance practices in AI, advanced analytics, digital use cases and data platform operations<br><br>Participate in scoping AI, Advanced Analytics, digital use cases and vendor proposals evaluations Ensure data quality rules are defined and developed, Data lineage for technical metadata are captured, business glossary is captured and approved by data stewards according to every digital use case data needs Establish and advance the enterprise AI Governance framework by defining AI agent operating boundaries, implementing governance controls and data quality assurance mechanisms, and delivering a strategic AI Governance roadmap that strengthens governance maturity, mitigates risk, and enables the responsible scaling of AI initiatives across the organization. Ensure the onboard of the digital use case owners and data stewards on the data governance tools to monitor their data usage, quality, and assignment Enable digital use cases master data management scope by defining the data quality checks Responsible for ensuring the data certification standard is followed, through the validation of data at source and destination are align for any data load or migration activity for digital use cases or application changes<br><br>Implement and maintain solutions to manage data governance<br><br>Lead the identification and configuration of data hierarchy, roles, catalog, quality, and business glossary for enterprise company data on Data Governance tools leveraging Oil and Gas standard practices Lead the prioritization, development and maintaining controls on data quality and sources to effectively manage risk associated with the use of data and analytics, as well as work with every entity to improve the finding and report issues to senior management per department Responsible for capturing business data challenges and propose solutions to overcome it Report the progress and challenges to senior management through Data Council and DPG Steer Co.<br><br>Defines polices, standards and guidelines for data governance<br><br>Lead the develop of data management policies, procedures, and guidelines relevant to the data management company needs Lead the development and implementation of enterprise metadata standards, guidelines, and processes to ensure quality metadata and support for ongoing data governance Ensure and monitor the adherence to all data policies, procedures, and guidelines Govern and overlooks the data sources to ensure its alignment with policies and best practices of handling stored data Aligns with the data operations to ensure it fulfils the data governance requirements Upskills developees on data governance and management<br><br>Must Have Qualifications & Experience Required<br><br>Bachelor’s degree from an accredited university in Information Management or an engineering/business related equivalent.10+ years of experience in Data Management for Oil and Gas Upstream/Downstream Operations and Major Capital Projects.5+ years of experience in a management/lead position working through the definition and implementations of similar engineering information projects. Strong handson experience in building data governance strategy, framework, roadmaps, decision making bodies and on boarding data roles (data owners/stewards) Solid track record implementing scalable data governance technology stacks (including business glossary, data lineage, data quality) Good understanding of the data solutions used for different Data Management needs such as Data visualization and BI, data science, data warehouses/lakes, Master data Management, data modeling Enterprise Document Management solutions...etc Experience in Change Management, Program management and Stakeholder management Experience in data integration methods Good understanding of Upstream and Downstream DIM requirements Good Knowledge of Database systems, EDMS solutions and BI Technologies Good Knowledge of Applications Architecture, Information Security Principles Fluent English both spoken and written

Job Description<br><br>Hands-on senior Databricks specialist with proven experience in production enterprise environments. We are specifically looking for someone who can independently design, develop, troubleshoot, optimize, and govern Databricks solutions, rather than someone whose experience is limited to basic Databricks development.<br><br>Responsibilities<br><br>Design and implement enterprise-scale data solutions using Azure Databricks. Define and maintain Databricks data architecture and platform standards. Design data ingestion and integration pipelines from multiple source systems. Develop scalable ETL/ELT pipelines using Databricks and Apache Spark. Design and implement Medallion Architecture (Bronze, Silver, Gold) where appropriate. Work with Delta Lake and optimize Delta tables and data pipelines. Design data models and transformation processes for analytical and operational reporting. Integrate Databricks with Microsoft Dynamics 365 / Dataverse and other enterprise applications. Develop and optimize batch and near-real-time data processing pipelines. Implement data quality, validation, monitoring, lineage, and governance processes. Optimize Spark jobs, clusters, SQL queries, Delta tables, and data pipelines for performance and cost. Implement appropriate data security and access controls. Work with Unity Catalog for data governance, access control, cataloging, and lineage. Support Power BI and other analytical/reporting platforms through optimized data models and data services. Troubleshoot complex data engineering and performance issues. Establish development, testing, and production standards for Databricks. Support CI/CD and Dev Ops practices for Databricks solutions. Conduct technical reviews and mentor data engineers. Ensure data platform solutions meet security, availability, scalability, and disaster recovery requirements.<br><br>Qualifications<br><br>Minimum 8+ years of experience in data engineering/data architecture. Minimum 4+ years of strong hands-on experience with Azure Databricks. Strong hands-on experience with Apache Spark and PySpark. Strong experience with Delta Lake. Strong experience designing enterprise data platforms and data pipelines. Strong knowledge of Databricks Medallion Architecture. Strong experience with Unity Catalog, data governance, access control, and data lineage. Strong SQL skills and experience with large-scale data processing. Strong experience with Azure data services. Experience with Azure Data Factory / Azure Data Lake Storage Gen2. Experience integrating Databricks with APIs, enterprise applications, CRM systems, and other data sources. Experience with data modeling and dimensional modeling. Strong understanding of data quality and data governance. Strong understanding of performance optimization and Databricks cost optimization. Experience with CI/CD, Git, Azure Dev Ops, and deployment automation. Experience working with large-volume enterprise datasets. Ability to troubleshoot complex production data issues.<br><br>Preferred Certifications<br><br>Databricks Certified Data Engineer Professional Databricks Certified Data Engineer Associate Microsoft Certified: Azure Data Engineer Associate Other relevant Databricks/Azure certifications

Role Overview – Senior Data Architect (Data & AI) Key Responsibilities• Govern and oversee the Enterprise Data Architecture framework supporting Data Analytics and AI initiatives across the organization.• Define and maintain conceptual, logical, and physical data models aligned with business, analytics, and AI requirements.• Review and validate data architecture designs, end-to-end data flows, data lineage, and integration patterns to ensure compliance with Data Governance, Data Quality, Security, and Privacy requirements.• Assess AI use cases from a technical architecture perspective, including data sourcing, integration, scalability, performance, and alignment with the target data architecture.• Establish and maintain technical controls supporting Responsible AI (RAI), including data validation, bias detection, explainability, traceability, and monitoring frameworks.• Review and evaluate vendor solutions to ensure alignment with enterprise architecture standards, integration capabilities, security requirements, and performance expectations.• Conduct data-focused assessments of third-party solutions, ensuring compliance with data protection, privacy, and regulatory requirements.• Review Business Requirement Specifications (BRS), solution designs, and Post-Implementation Reviews (PIR) from a data architecture perspective.• Govern data integration frameworks, ETL/ELT processes, APIs, streaming, and batch-based data flows across enterprise systems.• Support regulatory compliance initiatives, audits, and architecture governance forums.• Act as a Subject Matter Expert (SME) in Data Governance, AI Governance, Responsible AI, and Architecture Review forums. Required Skills and Experience• Minimum 7–10 years of experience in Data Architecture, Enterprise Data Management, Data Engineering, or related disciplines, preferably within banking or financial services.• Strong knowledge of enterprise data architecture principles, data modeling, data integration, and data governance frameworks.• Strong knowledge with modern data platforms, data warehouses, lakehouses, ETL/ELT frameworks, and analytics ecosystems.• Understanding of AI/ML data ecosystems, AI data requirements, and Responsible AI principles.• Experience reviewing architecture designs across on-premises, cloud, and hybrid environments.• Knowledge of Data Governance, Data Quality, Metadata Management, and regulatory data management requirements.• Strong analytical, architectural, and stakeholder management skills.• GCC and/or Qatar banking experience is highly desirable.• Professional certifications such as TOGAF, DAMA, CDMP, and Cloud Architecture certifications are preferred. Evaluation Criteria Submitted profiles will be assessed based on:• Relevance and depth of Data Architecture, Enterprise Data Management, and Data Engineering experience.• Experience in designing and governing enterprise-scale data platforms, architecture models, and integration frameworks.• Understanding of Data Governance, Data Quality, Metadata Management, Data Lineage, and architecture governance disciplines.• Exposure to AI/ML ecosystems, Responsible AI controls, and technical governance frameworks.• Banking / financial services domain exposure, preferably within Qatar or the GCC.• Ability to collaborate effectively across business, technology, risk, compliance, and governance stakeholders.• Availability to support immediate project timelines.

Role Overview – Senior Data Architect (Data & AI) Key Responsibilities• Govern and oversee the Enterprise Data Architecture framework supporting Data Analytics and AI initiatives across the organization.• Define and maintain conceptual, logical, and physical data models aligned with business, analytics, and AI requirements.• Review and validate data architecture designs, end-to-end data flows, data lineage, and integration patterns to ensure compliance with Data Governance, Data Quality, Security, and Privacy requirements.• Assess AI use cases from a technical architecture perspective, including data sourcing, integration, scalability, performance, and alignment with the target data architecture.• Establish and maintain technical controls supporting Responsible AI (RAI), including data validation, bias detection, explainability, traceability, and monitoring frameworks.• Review and evaluate vendor solutions to ensure alignment with enterprise architecture standards, integration capabilities, security requirements, and performance expectations.• Conduct data-focused assessments of third-party solutions, ensuring compliance with data protection, privacy, and regulatory requirements.• Review Business Requirement Specifications (BRS), solution designs, and Post-Implementation Reviews (PIR) from a data architecture perspective.• Govern data integration frameworks, ETL/ELT processes, APIs, streaming, and batch-based data flows across enterprise systems.• Support regulatory compliance initiatives, audits, and architecture governance forums.• Act as a Subject Matter Expert (SME) in Data Governance, AI Governance, Responsible AI, and Architecture Review forums. Required Skills and Experience• Minimum 7–10 years of experience in Data Architecture, Enterprise Data Management, Data Engineering, or related disciplines, preferably within banking or financial services.• Strong knowledge of enterprise data architecture principles, data modeling, data integration, and data governance frameworks.• Strong knowledge with modern data platforms, data warehouses, lakehouses, ETL/ELT frameworks, and analytics ecosystems.• Understanding of AI/ML data ecosystems, AI data requirements, and Responsible AI principles.• Experience reviewing architecture designs across on-premises, cloud, and hybrid environments.• Knowledge of Data Governance, Data Quality, Metadata Management, and regulatory data management requirements.• Strong analytical, architectural, and stakeholder management skills.• GCC and/or Qatar banking experience is highly desirable.• Professional certifications such as TOGAF, DAMA, CDMP, and Cloud Architecture certifications are preferred. Evaluation Criteria Submitted profiles will be assessed based on:• Relevance and depth of Data Architecture, Enterprise Data Management, and Data Engineering experience.• Experience in designing and governing enterprise-scale data platforms, architecture models, and integration frameworks.• Understanding of Data Governance, Data Quality, Metadata Management, Data Lineage, and architecture governance disciplines.• Exposure to AI/ML ecosystems, Responsible AI controls, and technical governance frameworks.• Banking / financial services domain exposure, preferably within Qatar or the GCC.• Ability to collaborate effectively across business, technology, risk, compliance, and governance stakeholders.• Availability to support immediate project timelines.

???? Join a Global Leader in Workforce Solutions – Net2Source Inc.???? Right Talent. Right Time. Right Place. Right Price.???? Operating in 32 countries | 5,500+ Employees???? www.net2source.com | ???? remya@net2source.ae<br>Job Title: Business Development Officer Job Location: Qatar<br>We are looking for an experienced Senior Data Architect – Data & AI to lead and govern enterprise data architecture supporting Data Analytics, AI, and digital transformation initiatives.<br>Key Responsibilities:<br>Define and govern enterprise data architecture, data models, and data integration frameworks. Review data architecture, end-to-end data flows, data lineage, ETL/ELT, APIs, batch and streaming solutions. Ensure compliance with Data Governance, Data Quality, Security, Privacy, and regulatory requirements. Assess AI/ML use cases from a data architecture and scalability perspective. Support Responsible AI through data validation, bias detection, explainability, traceability, and monitoring. Review solution designs, BRS documents, vendor solutions, and post-implementation architecture. Participate in Architecture Review, Data Governance and AI Governance forums. Support audits, regulatory initiatives, and enterprise data management programs.<br>Required Skills:7–10+ years of experience in Data Architecture, Enterprise Data Management, Data Engineering, or related areas. Strong experience in Data Modeling, Data Governance, Data Integration, Data Quality, and Data Lineage. Good knowledge of Data Warehouses, Data Lakes/Lakehouses, ETL/ELT and modern data platforms. Understanding of AI/ML data ecosystems and Responsible AI. Experience across On-Premises, Cloud, and Hybrid architectures. Strong stakeholder management and architecture governance experience. Banking/Financial Services experience is preferred. GCC/Qatar banking experience is highly desirable. Certifications such as TOGAF, DAMA, CDMP or Cloud Architecture certifications are an advantage.<br>???? About Net2Source Inc. Net2Source offers global staffing solutions and enterprise-scale recruitment support.???? Recognized by INC 5000 & SIA???? Global offices: UAE | USA | India | UK | Singapore | Canada | ANZ???? We support inclusive hiring practices in accordance with UAE labor law.???? www.net2source.com/careers | ???? remya@net2source.ae

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>Artefact is a new generation of data service providers specialising in data consulting and data-driven digital marketing. It is dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth.<br>The backbone of our consulting missions, today our Data consulting team has more than 400 consultants covering all Artefact's offers (and more): data marketing, data governance, strategy consulting, product owner…</p><br><p><strong>What you will be doing?<br></strong>As a Data Engineer, your role involves crafting and maintaining robust data pipelines, utilising Python and SQL, to ensure efficient extraction, transformation, and loading (ETL) of data.</p><br><p>Your responsibilities will include:</p><br><ul><li>Data Pipeline Development: Building and optimising data pipelines to facilitate seamless data flow across systems and platforms.</li><li>Database Management: Managing databases, ensuring their integrity, and implementing data storage and retrieval solutions.</li><li>Cloud Services Integration: Leveraging cloud services such as MS Azure, GCP, and AWS to architect and deploy scalable data solutions.</li><li>Machine Learning Integration: Collaborating with teams to integrate machine learning models into data pipelines for enhanced data processing.</li><li>Utilising Spark &amp;amp; Kafka: Implementing and working with Spark and Kafka for real-time data processing and analytics.</li></ul><p><strong>What we are looking for?</strong></p><br><ul><li>2-5 years: Data Engineer</li><li>Proficiency in Python, SQL, and database management.</li><li>Experience with Data Pipelines ETL, Cloud Services (MS Azure, GCP, AWS), ML Modeling, Spark &amp;amp; Kafka.</li><li>Proven problem-solving skills and a solution-oriented mindset.</li><li>Experience working with business stakeholders either internally or externally</li><li>Excellent communication skills to collaborate effectively within teams and with stakeholders.</li><li>Strong business acumen with an interest in business-facing roles.</li><li>Adaptability and a start-up mentality to thrive in a dynamic environment.</li><li>Minimum of a bachelor's degree in Computer Science, Electronics, and Communication Engineering degrees.</li></ul><p>Artefact is the place to be: come and build the future of data and AI</p><br><p><strong>Innovation:</strong> We have a passion for creating impacting projects and believe innovation can come from anyone.<br><strong>Action:&amp;nbsp;</strong>We make things rather than telling people how to make them.<br><strong>Collaboration:&amp;nbsp;</strong>We believe in bringing talented people together, winning together, and in learning from each other.</p><br> </div>

Role Objective <br>The incumbent will perform activities pertaining to Data Privacy across Doha Bank, in line with policies, procedures and applicable Data Privacy laws and regulations. The incumbent will support in development and implementation of the bank’s Data Privacy Program, ensure data compliance through relevant mechanism, and impart staff training in close coordination with the relevant stakeholders.<br>Detailed Roles and Responsibilities:<br>Perform all operational activities as assigned by the reporting authority, in compliance with local regulations, Doha Bank’s policies and units/departments approved policies and procedures. Support in development and implementation of the bank’s Data Privacy framework, and program in accordance with relevant Data Privacy laws and regulations. Work closely with the respective stakeholders to ensure compliance with applicable Data Privacy laws and regulations for the bank. Prepare Data Privacy policies, procedures & notices and perform annual review of these documents for their compliance to legal, regulatory and organizational updates. Work closely with the relevant stakeholders in implementation of the Data Privacy policies, procedures and notices across the Bank. Assist the Privacy Champions and IT Application Managers in maintenance of Record of Processing Activities and Data Flow Diagrams (DFDs). Perform Data Privacy Impact Assessment of the bank’s business process and IT applications processing personal data of the staff, customers, vendors, etc. Coordinate with relevant stakeholders to ensure all business processes adhere to internal Data Privacy policies and procedures. Coordinate with IT Application owners to ensure all IT Applications containing personal data adhere to internal Data Privacy policies and procedures.<br>Educational Qualifications and Experience: <br>University graduate with a degree in Computer Science, Computer Engineering, Information Security or any other related discipline.05-08 years of total experience in financial services/banking industry, entailing responsibilities pertaining to the specific area of discipline. Previous experience in Data Privacy /Data Protection or data compliance in financial services industry.

The Tax Compliance Risk Data & Modelling Expert oversees end-to-end processing of tax data assets, analyzes cross-system tax information, and develops analytical and predictive models to support compliance risk assessment and strategic decision-making. The role coordinates with IT on analytical tools, reviews international and exchanged tax data, and advises on data governance practices to ensure quality, consistency, and secure access for Tax departments. Tax Data Assets & Governance Oversee the end-to-end cycle of tax data, including acquisition from internal and external systems, validation, cleansing, storage, and evaluation. Develop and Monitor data governance practices to Ensure tax data quality, consistency, security, and controlled access, including maintenance of central data dictionaries and metadata. Risk Data Analysis & Modelling Analyze tax data using statistical and exploratory techniques to Identify patterns relevant to compliance risk and operational performance. Develop and Review predictive and analytical models that Support risk-based assessment, audit targeting, and monitoring of tax gaps. Dashboards, Analytics & Strategic Insights Develop advanced dashboards and analytical views to Support operational monitoring and strategic planning across TAX Authority. Prepare structured analytical outputs and reports for senior management, including key indicators, trends, and sectoral insights. Stakeholder Engagement & Requirements Coordinate regular meetings with relevant departments to Assess data and analytics needs, Identify gaps, and Align data sources and structures with operational requirements. Prepare and Review lists of missing or incomplete tax data needed to Support official tasks and risk analysis. Tools, Systems & International Data Coordinate with IT to Develop and Enhance analytical tools, including predictive analytics and automated reporting systems that Support tax risk evaluation and decision-making. Analyze data received through tax information exchange mechanisms and Evaluate its relevance for risk analysis and compliance activities. Support to Internal & External Requests Advise regulatory and operational units on the use of data and analytical outputs in urgent or high-priority cases requiring rapid information. Review and Prepare analytical inputs for requests from International Cooperation department related to tax data, in line with applicable frameworks. Preferred Qualifications & Experience Bachelor’s degree in Data Science, Statistics, Economics, Computer Science, or related field. Master’s degree in a related field is preferred. Relevant professional certifications are an advantage. 16+ years of relevant experience in data analytics, statistical modelling, or risk analytics in tax administration, government, or a related financial/compliance environment. Demonstrated knowledge of tax data structures, analytical tools, and data governance concepts. Strong data analysis and modelling skills using analytical and BI tools. Ability to translate complex data into clear insights and decision-support outputs. Effective coordination and communication with technical and non-technical stakeholders. Attention to data quality, structure, and security.

The Tax Compliance Risk Data & Modelling Expert oversees end-to-end processing of tax data assets, analyzes cross-system tax information, and develops analytical and predictive models to support compliance risk assessment and strategic decision-making. The role coordinates with IT on analytical tools, reviews international and exchanged tax data, and advises on data governance practices to ensure quality, consistency, and secure access for Tax departments. Tax Data Assets & Governance Oversee the end-to-end cycle of tax data, including acquisition from internal and external systems, validation, cleansing, storage, and evaluation. Develop and Monitor data governance practices to Ensure tax data quality, consistency, security, and controlled access, including maintenance of central data dictionaries and metadata. Risk Data Analysis & Modelling Analyze tax data using statistical and exploratory techniques to Identify patterns relevant to compliance risk and operational performance. Develop and Review predictive and analytical models that Support risk-based assessment, audit targeting, and monitoring of tax gaps. Dashboards, Analytics & Strategic Insights Develop advanced dashboards and analytical views to Support operational monitoring and strategic planning across TAX Authority. Prepare structured analytical outputs and reports for senior management, including key indicators, trends, and sectoral insights. Stakeholder Engagement & Requirements Coordinate regular meetings with relevant departments to Assess data and analytics needs, Identify gaps, and Align data sources and structures with operational requirements. Prepare and Review lists of missing or incomplete tax data needed to Support official tasks and risk analysis. Tools, Systems & International Data Coordinate with IT to Develop and Enhance analytical tools, including predictive analytics and automated reporting systems that Support tax risk evaluation and decision-making. Analyze data received through tax information exchange mechanisms and Evaluate its relevance for risk analysis and compliance activities. Support to Internal & External Requests Advise regulatory and operational units on the use of data and analytical outputs in urgent or high-priority cases requiring rapid information. Review and Prepare analytical inputs for requests from International Cooperation department related to tax data, in line with applicable frameworks. Preferred Qualifications & Experience Bachelor’s degree in Data Science, Statistics, Economics, Computer Science, or related field. Master’s degree in a related field is preferred. Relevant professional certifications are an advantage. 16+ years of relevant experience in data analytics, statistical modelling, or risk analytics in tax administration, government, or a related financial/compliance environment. Demonstrated knowledge of tax data structures, analytical tools, and data governance concepts. Strong data analysis and modelling skills using analytical and BI tools. Ability to translate complex data into clear insights and decision-support outputs. Effective coordination and communication with technical and non-technical stakeholders. Attention to data quality, structure, and security.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span><u><b>Job Summary</b></u> <br></span><p>The Senior Data Analyst is responsible to&nbsp;leverage data-driven insights to inform and guide strategic decision-making within an organization. This role involves analyzing large datasets, identifying trends, patterns, and opportunities, and translating complex data into actionable recommendations for the strategy team and senior management.</p><br> <br><br><u><b>Job Responsibilities 1</b></u> <br><p>Utilize advanced data analysis techniques to extract valuable insights from various data sources, supporting strategic initiatives and decision-making.</p><br> <p>Identify trends, patterns, and correlations within data to anticipate future market dynamics and strategic opportunities.</p><br> <p>Evaluate the performance of the organization's key metrics, products, or services to identify areas for improvement and growth.</p><br> <p>Analyze data related to competitors' activities, market positioning, and performance to inform competitive strategies.</p><br> <p>Conduct data-driven market research and segment analysis to identify target audiences, market trends, and potential growth areas.</p><br> <p>Provide data-backed insights and recommendations to support the development and refinement of strategic plans.</p><br> <p>Collaborate with the strategy team and senior management to provide data-driven insights that inform critical decisions.</p><br> <p>Perform scenario analysis to assess the potential outcomes of different strategic choices and their impact on business goals.</p><br> <p>Create clear and compelling data visualizations, charts, and dashboards to communicate complex insights effectively.</p><br> <br><br><u><b>Job Responsibilities 2</b></u> <br><p>Define and track key performance indicators (KPIs) aligned with strategic goals, and provide insights into their progress.</p><br> <p>Collaborate with cross-functional teams, including finance, marketing, and operations, to gather and analyze relevant data.</p><br> <p>Ensure data accuracy, consistency, and integrity throughout the analysis process.</p><br> <p>Prepare and present data-driven recommendations and insights to senior management and key stakeholders.</p><br> <p>Conduct hypothesis testing to validate assumptions and uncover insights that drive strategic initiatives.</p><br> <p>Serve as a subject matter expert on data analysis and insights, providing guidance to the strategy team and other departments.</p><br> <p>Proactively identify opportunities for innovation and improvement based on data insights.</p><br> <p>Identify potential risks and challenges through data analysis, helping the strategy team develop risk-mitigation strategies.</p><br><br><br><b>Additional Responsibilities 3</b> <br><br><u><b>Job Knowledge &amp; Skills</b></u> <br><p>Deep understanding of the popular data analysis tools and databases.</p><br> <p>High-level experience in methodologies and processes for managing large-scale bases.</p><br> <p>Demonstrated experience in handling large data sets and relational databases.</p><br> <p>Understanding of addressing and metadata standards.</p><br> <p>High-level written and verbal communication skills.</p><br> <p>ERP knowledge preferably SAP functional skills are a requirement to be successful in this role.</p><br><br><br><u><b>Job Experience</b></u> <br><p>Minimum 8 year(s) working experience, 5 year(s) relevant working experience, 2 year (s) GCC is a plus</p><br><br><br><u><b>Competencies</b></u> <br>Agility<br>AI Fluency<br>Business Intelligence Tools L3<br>Data Governance L3<br>Data Marts L3<br>Data Quality Assurance L3<br>KPI Understanding L3<br>Leadership<br>Quality<br>Resilience<br><br><br><u><b>Education</b></u> <br>Bachelor's Degree in Business Administration or any related field<br><br><br><br> </div>

Data Governance, Privacy & GRC Consultant Location: Doha, Qatar or Dubai, UAE Employment Type: Full-time (On-site / Client Site) Company: Command Post About Command Post Command Post is a leading cybersecurity, AI assurance, governance, risk, compliance (GRC), privacy, and data governance consulting and technology company serving organizations across the Middle East. As part of our continued growth, we are expanding our Data Governance and GRC practice and are looking for experienced professionals to join our team in Qatar and the UAE. Open Positions We are hiring across multiple experience levels, including:Data Governance Lead Senior Data Governance Consultant Data Governance Consultant GRC / Compliance Lead Privacy Consultant Data Governance Analyst Data Steward Role Overview The successful candidate will support the design, implementation, and continuous improvement of enterprise governance, privacy, compliance, and risk management programs. You will work closely with business and technical stakeholders to establish governance frameworks, improve data quality, ensure regulatory compliance, and strengthen organizational controls. Key Responsibilities Data Governance Design and implement enterprise data governance frameworks. Establish governance structures, decision rights, roles, and responsibilities. Define Data Owner, Data Steward, and Data Custodian operating models. Develop governance policies, standards, procedures, and operating models. Build and maintain business glossaries, metadata repositories, data dictionaries, and data catalogues. Define data quality rules, KPIs, ownership, and issue management processes. Conduct data governance maturity assessments and develop improvement roadmaps. Facilitate workshops with business and technology stakeholders. Support Data Governance Councils and governance working groups. Develop governance dashboards, KPIs, and executive reports. Data Lineage & Data Flow Management Document end-to-end data flows across applications, databases, interfaces, and third-party platforms. Develop enterprise data lineage models. Identify data sources, transformations, integrations, storage locations, and downstream consumers. Validate data flows with business users, architects, engineers, and application owners. Identify governance gaps, duplicate data, uncontrolled transfers, and ownership issues. Support critical data element identification and lifecycle management. Contribute to data migration, integration, and transformation initiatives. Governance, Risk & Compliance (GRC) Design and implement enterprise GRC frameworks. Perform governance, risk, and compliance assessments. Maintain risk registers, compliance registers, control libraries, and evidence repositories. Develop policies, procedures, standards, and control documentation. Support ISO certifications, audits, and regulatory assessments. Track remediation plans, risk treatment actions, and compliance status. Support information security, privacy, AI governance, and data governance compliance initiatives. Privacy Management Design and support enterprise privacy programs. Maintain Records of Processing Activities (RoPA). Conduct Data Protection Impact Assessments (DPIAs). Support privacy risk assessments. Manage Data Subject Access Request (DSAR) processes. Support consent, retention, deletion, breach management, and third-party privacy processes. Map personal data across business units and applications. Support Privacy by Design implementation. Maintain privacy documentation and compliance evidence. Data Discovery & Privacy Technology Implement and support data discovery and classification platforms. Identify sensitive, regulated, and business-critical information. Validate classifications, ownership, retention, and processing purposes. Configure scanning policies, taxonomies, workflows, and connectors. Integrate discovery outputs into governance and compliance processes. Experience with Fides is an advantage. AI Governance & Assurance Support AI governance frameworks and operating models. Build AI inventories and AI risk classification processes. Conduct AI risk and impact assessments. Support ISO/IEC 42001 implementation. Evaluate AI systems for governance, security, privacy, transparency, accountability, and operational risk. Integrate AI governance into enterprise GRC and cybersecurity programs. Experience with Qatar Central Bank AI requirements or similar regional AI regulations is desirable. Standards & Regulatory Experience Experience with one or more of the following is preferred:ISO/IEC 27001ISO/IEC 42001Information Security Management Systems (ISMS) AI Management Systems (AIMS) Privacy and Data Protection Regulations Qatar Data Protection Law UAE Data Protection Law Qatar Central Bank AI Requirements Risk & Control Frameworks Data Governance Frameworks Internal Audit & Compliance Technology Experience Experience with one or more of the following platforms is advantageous:One Trust CISO Assistant Fides Collibra Informatica Microsoft Purview Big IDData Discovery Platforms Data Catalog & Metadata Management Tools GRC Platforms Privacy Management Solutions Compliance & Evidence Management Platforms Required Skills & Experience Experience in Data Governance, Privacy, GRC, Compliance, or Data Management. Strong understanding of governance frameworks, policies, and controls. Experience conducting risk assessments and governance workshops. Excellent stakeholder management and communication skills. Strong analytical and documentation abilities. Customer-facing consulting experience. Ability to work independently and collaboratively. Willingness to work on-site in Doha or Dubai. For Lead Positions Experience leading governance and compliance programs. Managing project teams and stakeholder engagement. Designing governance operating models. Delivering assessments, roadmaps, and implementation projects. Managing budgets, risks, and project delivery. Mentoring junior consultants and supporting business development. For Consultant / Analyst Positions Experience supporting governance initiatives. Documentation and policy development. Risk and compliance tracking. Privacy and data governance support. Reporting and stakeholder coordination. Preferred Skills Data Quality Management Master Data Management (MDM) Cloud Data Governance Regulatory Compliance Audit & Certification Readiness AI Governance & Model Risk Privacy Engineering Data Classification Information Lifecycle Management Data Architecture Data Engineering Systems Integration Cybersecurity Governance Middle East consulting experience Education & Certifications Degree Bachelor's or Master's degree in Information Technology, Computer Science, Data Management, Information Security, Business, or a related discipline. Preferred Certifications DAMA Certified Data Management Professional (CDMP) ISO/IEC 27001 Lead Implementer or Lead Auditor ISO/IEC 42001 Lead Implementer or Lead Auditor CIPP, CIPM, CIPT, or equivalent privacy certifications CRISC, CISA, CISSP, or similar GRC certifications One Trust Certifications Collibra Certifications Microsoft Purview Certifications Informatica Certifications Project Management (PMP, PRINCE2) Business Analysis Certifications Relevant practical consulting and implementation experience will be considered alongside professional certifications. Candidate Profile We are looking for professionals who are:Detail-oriented and highly organized. Strong communicators with excellent stakeholder management skills. Passionate about governance, privacy, AI governance, and compliance. Comfortable working with both business and technical teams. Able to translate regulatory requirements into practical governance solutions. Committed to delivering high-quality consulting services in customer-facing environments. Please submit your updated CV highlighting your experience in:Data Governance Privacy Management GRC & Compliance Data Lineage & Data Flow Mapping Data Discovery & Classification ISO/IEC 27001ISO/IEC 42001AI Governance & Assurance Governance, Privacy, Compliance, and Data Management Technologies

Data Governance, Privacy & GRC Consultant Location: Doha, Qatar or Dubai, UAE Employment Type: Full-time (On-site / Client Site) Company: Command Post About Command Post Command Post is a leading cybersecurity, AI assurance, governance, risk, compliance (GRC), privacy, and data governance consulting and technology company serving organizations across the Middle East. As part of our continued growth, we are expanding our Data Governance and GRC practice and are looking for experienced professionals to join our team in Qatar and the UAE. Open Positions We are hiring across multiple experience levels, including:Data Governance Lead Senior Data Governance Consultant Data Governance Consultant GRC / Compliance Lead Privacy Consultant Data Governance Analyst Data Steward Role Overview The successful candidate will support the design, implementation, and continuous improvement of enterprise governance, privacy, compliance, and risk management programs. You will work closely with business and technical stakeholders to establish governance frameworks, improve data quality, ensure regulatory compliance, and strengthen organizational controls. Key Responsibilities Data Governance Design and implement enterprise data governance frameworks. Establish governance structures, decision rights, roles, and responsibilities. Define Data Owner, Data Steward, and Data Custodian operating models. Develop governance policies, standards, procedures, and operating models. Build and maintain business glossaries, metadata repositories, data dictionaries, and data catalogues. Define data quality rules, KPIs, ownership, and issue management processes. Conduct data governance maturity assessments and develop improvement roadmaps. Facilitate workshops with business and technology stakeholders. Support Data Governance Councils and governance working groups. Develop governance dashboards, KPIs, and executive reports. Data Lineage & Data Flow Management Document end-to-end data flows across applications, databases, interfaces, and third-party platforms. Develop enterprise data lineage models. Identify data sources, transformations, integrations, storage locations, and downstream consumers. Validate data flows with business users, architects, engineers, and application owners. Identify governance gaps, duplicate data, uncontrolled transfers, and ownership issues. Support critical data element identification and lifecycle management. Contribute to data migration, integration, and transformation initiatives. Governance, Risk & Compliance (GRC) Design and implement enterprise GRC frameworks. Perform governance, risk, and compliance assessments. Maintain risk registers, compliance registers, control libraries, and evidence repositories. Develop policies, procedures, standards, and control documentation. Support ISO certifications, audits, and regulatory assessments. Track remediation plans, risk treatment actions, and compliance status. Support information security, privacy, AI governance, and data governance compliance initiatives. Privacy Management Design and support enterprise privacy programs. Maintain Records of Processing Activities (RoPA). Conduct Data Protection Impact Assessments (DPIAs). Support privacy risk assessments. Manage Data Subject Access Request (DSAR) processes. Support consent, retention, deletion, breach management, and third-party privacy processes. Map personal data across business units and applications. Support Privacy by Design implementation. Maintain privacy documentation and compliance evidence. Data Discovery & Privacy Technology Implement and support data discovery and classification platforms. Identify sensitive, regulated, and business-critical information. Validate classifications, ownership, retention, and processing purposes. Configure scanning policies, taxonomies, workflows, and connectors. Integrate discovery outputs into governance and compliance processes. Experience with Fides is an advantage. AI Governance & Assurance Support AI governance frameworks and operating models. Build AI inventories and AI risk classification processes. Conduct AI risk and impact assessments. Support ISO/IEC 42001 implementation. Evaluate AI systems for governance, security, privacy, transparency, accountability, and operational risk. Integrate AI governance into enterprise GRC and cybersecurity programs. Experience with Qatar Central Bank AI requirements or similar regional AI regulations is desirable. Standards & Regulatory Experience Experience with one or more of the following is preferred:ISO/IEC 27001ISO/IEC 42001Information Security Management Systems (ISMS) AI Management Systems (AIMS) Privacy and Data Protection Regulations Qatar Data Protection Law UAE Data Protection Law Qatar Central Bank AI Requirements Risk & Control Frameworks Data Governance Frameworks Internal Audit & Compliance Technology Experience Experience with one or more of the following platforms is advantageous:One Trust CISO Assistant Fides Collibra Informatica Microsoft Purview Big IDData Discovery Platforms Data Catalog & Metadata Management Tools GRC Platforms Privacy Management Solutions Compliance & Evidence Management Platforms Required Skills & Experience Experience in Data Governance, Privacy, GRC, Compliance, or Data Management. Strong understanding of governance frameworks, policies, and controls. Experience conducting risk assessments and governance workshops. Excellent stakeholder management and communication skills. Strong analytical and documentation abilities. Customer-facing consulting experience. Ability to work independently and collaboratively. Willingness to work on-site in Doha or Dubai. For Lead Positions Experience leading governance and compliance programs. Managing project teams and stakeholder engagement. Designing governance operating models. Delivering assessments, roadmaps, and implementation projects. Managing budgets, risks, and project delivery. Mentoring junior consultants and supporting business development. For Consultant / Analyst Positions Experience supporting governance initiatives. Documentation and policy development. Risk and compliance tracking. Privacy and data governance support. Reporting and stakeholder coordination. Preferred Skills Data Quality Management Master Data Management (MDM) Cloud Data Governance Regulatory Compliance Audit & Certification Readiness AI Governance & Model Risk Privacy Engineering Data Classification Information Lifecycle Management Data Architecture Data Engineering Systems Integration Cybersecurity Governance Middle East consulting experience Education & Certifications Degree Bachelor's or Master's degree in Information Technology, Computer Science, Data Management, Information Security, Business, or a related discipline. Preferred Certifications DAMA Certified Data Management Professional (CDMP) ISO/IEC 27001 Lead Implementer or Lead Auditor ISO/IEC 42001 Lead Implementer or Lead Auditor CIPP, CIPM, CIPT, or equivalent privacy certifications CRISC, CISA, CISSP, or similar GRC certifications One Trust Certifications Collibra Certifications Microsoft Purview Certifications Informatica Certifications Project Management (PMP, PRINCE2) Business Analysis Certifications Relevant practical consulting and implementation experience will be considered alongside professional certifications. Candidate Profile We are looking for professionals who are:Detail-oriented and highly organized. Strong communicators with excellent stakeholder management skills. Passionate about governance, privacy, AI governance, and compliance. Comfortable working with both business and technical teams. Able to translate regulatory requirements into practical governance solutions. Committed to delivering high-quality consulting services in customer-facing environments. Please submit your updated CV highlighting your experience in:Data Governance Privacy Management GRC & Compliance Data Lineage & Data Flow Mapping Data Discovery & Classification ISO/IEC 27001ISO/IEC 42001AI Governance & Assurance Governance, Privacy, Compliance, and Data Management Technologies

Position Summary:The Lead Data Engineer is responsible for leading the design, development, implementation, and optimization of scalable cloud-based data platforms and engineering solutions that enable analytics, business intelligence, and data-driven decision-making across Group Digital. The role provides technical leadership, establishes engineering best practices, ensures the delivery of secure and high-performance data solutions, and supports the continuous evolution of the organization’s data ecosystem.<br>Key Responsibilities and Accountabilities:Lead the design, development, implementation, and optimization of scalable cloud-based data platforms, data lakes, and data pipelines supporting Group Digital initiatives. Design, build, and maintain robust ETL/ELT pipelines using SQL, Python, and modern cloud technologies to integrate data from multiple internal and external sources. Develop and optimize data models, storage architectures, and processing frameworks to ensure high performance, scalability, reliability, and cost efficiency. Establish and enforce data engineering standards, coding best practices, documentation, and governance across the data engineering function. Collaborate with Business Intelligence, Product, Technology, Commercial, Marketing, and Content teams to translate business requirements into scalable technical solutions. Ensure data quality, integrity, security, and compliance through monitoring, validation, and governance processes. Support the development of analytics, reporting, dashboards, and self-service BI capabilities by delivering reliable and trusted datasets. Optimize cloud infrastructure, database performance, and processing workloads to improve system availability and operational efficiency. Troubleshoot and resolve complex data platform issues, ensuring minimal disruption to business operations. Mentor and provide technical guidance to Data Engineers, promoting knowledge sharing and continuous capability development. Provide technical leadership across the Data Engineering function by driving engineering best practices, mentoring engineers, and guiding technical decisions across Group Digital. Work closely with cross-functional stakeholders, vendors, and technology partners to deliver data engineering initiatives aligned with business priorities. Contribute to Agile delivery by participating in sprint planning, backlog refinement, code reviews, testing, deployment, and continuous improvement activities. Ensure adherence to enterprise data governance, security, architecture, and compliance standards.<br>Job Requirements and Qualifications:Education: Bachelor’s degree in computer science, Information Technology, Software Engineering, Data Engineering, or a related field. A master’s degree or relevant cloud certifications (e.g., Google Cloud Professional Data Engineer, Google Cloud Professional Cloud Architect) is an advantage. Experience: Minimum 7+ years of progressive experience in Data Engineering, Data Platform Development, or related disciplines. Proven experience designing and implementing enterprise-scale data platforms and cloud-native data solutions. Experience leading technical initiatives and mentoring engineering teams. Hands-on experience with Google Cloud Platform (GCP) or equivalent cloud technologies.

CNTXT AI is a leading artificial intelligence company focused on building next-generation AI systems, products, and infrastructure. We specialize in developing multimodal AI, robotics, and intelligent agents, powered by high-quality real-world data. Data is at the core of our innovation. We invest heavily in data collection, annotation, and AI training pipelines to enable advanced systems such as embodied AI and Vision-Language-Action (VLA) models.<br><br>Role Summary<br><br>CNTXT AI is looking for a Robotics Data Collector to support the collection of high-quality robotics and egocentric data used to train AI models.<br>This role involves working hands-on with robotic systems, sensors, and real-world environments to capture multimodal datasets, including video, motion, and interaction data. You will play a key role in enabling the development of intelligent robotic systems and AI agents.<br>The ideal candidate is detail-oriented, technically curious, and comfortable working in lab and controlled real-world environments.<br><br>Key Responsibilities<br><br>1. Data Collection Execution Collect robotics and egocentric (first-person) data using:Cameras (handheld, head-mounted, or robot-mounted) Sensors (IMU, depth cameras, etc.) Execute data collection tasks based on predefined scenarios and protocols. Ensure consistent and accurate recording of actions, interactions, and environments.<br><br><br><br>2. Robotics Operation Support Assist in operating robotic systems (humanoid or mobile robots) during data collection. Support setup and calibration of:Cameras and sensors Recording systems Ensure proper functioning of hardware during experiments.<br><br><br><br>3. Data Quality & Validation Review collected data for:Completeness Clarity Accuracy Identify and flag issues such as:Missing data Recording errors Sensor misalignment Follow quality guidelines to ensure high usability for AI training.<br><br><br><br>4. Experiment Setup & Execution Prepare environments for data collection sessions. Execute tasks such as:Object manipulation Navigation scenarios Human-robot interaction recordings Follow detailed instructions to simulate real-world use cases.<br><br><br><br>5. Documentation & Reporting Maintain records of:Data collection sessions Equipment usage Issues encountered Provide feedback to improve data collection processes and protocols.<br><br><br><br>6. Safety & Compliance Follow all lab safety protocols and operational guidelines. Handle robotics equipment and sensors with care. Ensure compliance with data privacy and security requirements.<br><br><br><br>Required Qualifications<br>0–3+ years of experience Data collection, field operations, or lab environments Technical or hardware-related roles Comfortable working with:Cameras, sensors, and recording devices Basic computer systems and tools Strong attention to detail and ability to follow instructions precisely.<br><br><br><br>Preferred Skills Experience with robotics systems or hardware environments. Familiarity with:Egocentric or first-person data collection Computer vision or AI-related datasets Basic understanding of:Robotics concepts Sensors and data recording tools Experience working in technical labs or research environments.<br><br><br><br>Key Traits Detail-oriented and quality-focused Hands-on and execution-driven Reliable and consistent in following protocols Comfortable working in dynamic environments Curious about robotics and AI<br><br><br><br>Success Metrics Volume and quality of data collected Accuracy and completeness of datasets Adherence to data collection protocols Reduction in data errors and rework Efficiency in executing data collection tasks<br><br><br><br>Why Join CNTXT AIWork on cutting-edge robotics and AI systems Contribute to building next-generation intelligent agents Gain hands-on experience with robotics labs and real-world data Be part of a fast-growing, innovation-driven company

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>Artefact is a new generation of data service providers, specialising in data consulting and data-driven digital marketing. It is dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth.</p><br><p>The backbone of our consulting missions, today our Data consulting team has more than 400 consultants covering all Artefact's offers (and more): data marketing, data governance, strategy consulting, product owner…</p><br><p><strong>What will you be doing?&amp;nbsp;</strong></p><br><ul><li>Manage projects as well as lead our business growth, the data consulting teams welcome all business and technical background joiners, who would thrive as an expert in a specific field, or truly versatile players.</li><li>In this fast-paced, fast-growing industry, the most important qualities in our eyes are intellectual curiosity, autonomy and dynamism.</li><li>You wield both “business” and “data” knowledge, with experience ideally in a digital marketing consulting firm; You already have a first understanding of digital technologies, and care to develop more in the exciting world of data and digital business</li></ul><p><strong>What are we looking for?&amp;nbsp;</strong></p><br><ul><li>You must have previous Management Consultancy, ideally within Strategy Consulting or Data Consulting.</li><li>Graduated from Business school or Engineering, in our eyes' the most important qualities are intellectual curiosity, autonomy, and dynamism.</li><li>We are looking for profiles with the double hat “business” and “data”, with at least 1-2 years of experience, and in the use of BI tools or data analysis.</li><li>You will already understand digital technologies (Tracking, Machine Learning, RTB, Big Data, Platform as a Service,…).</li></ul><p>Artefact is the place to be: come and build the future of data and marketing!<br><strong>Innovation</strong>: We have a passion for creating impacting projects and believe innovation can come from anyone.<br><strong>Action:&amp;nbsp;</strong>We make things rather than telling people how to make them.<br><strong>Collaboration</strong>: We believe in bringing talented people together, winning together, and in learning from each other.</p><br> </div>

Black & Grey HR is recruiting for an established technology solutions and services provider in Doha, Qatar. Our client is seeking an experienced Security Operations Officer – Data Security Specialist responsible for executing and enhancing security operations, monitoring and responding to threats with a focus on mega sports events and non-event periods. Collaborate across teams to implement effective security measures for information systems.<br>Key Responsibilities Data Security Engineering Design and implement data protection controls across enterprise, cloud environments and Artificial Intelligence Solutions. Deploy and manage solutions such as Data Loss Prevention (DLP), data masking, and tokenization. Collaborate with application and infrastructure teams to embed security into data lifecycle management. Implement and manage data discovery and classification tools to identify, categorize, and label sensitive data across the organization. Continuously monitor data security posture and produce regular compliance and risk reports. Assist the incident response team in investigating and responding to data security incidents, including insider threats and breaches.<br>Cloud Data Security Implement and manage data protection controls in GCP and Azure. Secure databases and data lakes. Configure encryption at rest, in transit, and in use, with BYOK strategies. Deploy cloud-native data discovery and classification solutions. Manage secrets management and ensure secure access to data storage systems. Implement controls for AI data governance.<br>Cryptography Define and enforce cryptographic practices and key management standards. Manage enterprise encryption practices for data at rest, in transit, and in use. Ensure compliance with organizational and industry cryptographic standards.<br>Data Privacy Ensure compliance with privacy regulations (GDPR, HIPAA, PDPPL). Embed privacy-by-design principles and requirements into technical controls. Drive data classification and governance programs to safeguard personal and sensitive information.<br>Database Security Secure structured and unstructured data repositories, including relational and NoSQL databases. Implement database activity monitoring (DAM) and user access controls. Perform regular security reviews and hardening of database systems.<br>Collaboration & Governance Collaborate with other stakeholders on data protection strategies. Ensure compliance with Qatar’s NCSA framework and international standards. Conduct data security assessments for vendors and third-party integrations. Review and approve data sharing agreements. Define and track data security KPIs and metrics. Maintain data security dashboards for continuous monitoring. Stay current with emerging threats, technologies, and industry best practices.<br>Requirements8+ years of experience in information security with a focus on data protection, cryptography, and database security. Bilingual (Arabic Speaker) Preferred. Hands-on experience with cloud platforms, especially GCP and Azure. Strong understanding of encryption standards, cryptographic protocols, and key management processes. Practical experience with secrets management (Hashi Corp Vault, AWS Secrets Manager, Azure Key Vault, GCP Secret Manager). Proven expertise in cloud-native data protection across multi-cloud environments. Experience implementing data masking, tokenization, and anonymization techniques. Bachelor’s degree in computer science, Information Security, or related field. Professional certifications such as CISSP, CCSP, CDPSE, or CCSK. Cloud security certifications (GCP, Azure, or AWS Security Specialty) preferred.<br>Required Skillsets Hands-on experience with DLP solutions (Forcepoint, Microsoft Purview, Google Cloud DLP). Implementation of data anonymization, pseudonymization, and masking techniques. Configuration and monitoring of DAM solutions (Imperva, IBM Guardium). Experience with data discovery and classification tools (Forcepoint, Microsoft Purview). Strong knowledge of cryptographic and key management systems (KMS, GCP Cloud KMS, Azure Key Vault). Securing relational, NoSQL, and data lake environments. Performing database vulnerability assessments and security audits. Working knowledge of secret management solutions and integration with CI/CD pipelines.

???? Requirements• Bachelor’s degree in IT, Computer Science, Information Systems, Engineering, Data Analytics, or a related discipline• 7+ years of project/delivery management experience• Strong technical experience across Data Architecture, Data Integration, Data Quality, Metadata, Governance, BI, and Analytics• Proven experience delivering data, BI, analytics, or data-product initiatives from requirements through implementation and adoption• Ability to technically guide multidisciplinary data teams and challenge solution/design decisions• Hands-on or technical leadership experience with enterprise data platforms, BI, analytics, or data integration solutions<br>???? Preferred Certifications PMP | PRINCE2 | Agile/Scrum | Product Owner/Product Management | Informatica | Data & Analytics Certifications

Role Purpose<br><br>The Data Quality Consultant helps clients understand, measure and improve the fitness of data for operational, analytical and public-service use. The role profiles data, defines quality dimensions and rules, establishes thresholds and monitoring, investigates root causes and supports sustainable remediation and issue-management processes.<br><br>The consultant works with Data Owners, Data Stewards, business experts, architects, engineers and system teams to ensure that quality expectations are tied to real business needs and authoritative reference sources. The role prepares evidence, recommendations and remediation plans, but client owners remain accountable for accepting quality risks and approving corrective actions. Effective delivery requires both analytical capability and facilitation skill so that technical findings become practical ownership, process and control improvements.<br><br>Key Responsibilities<br><br>Identify critical datasets, attributes, decisions and business processes requiring data-quality management. Profile data to identify completeness, validity, consistency, uniqueness, timeliness, accuracy and accessibility issues. Define data-quality rules, thresholds, reference sources, calculation logic and exception conditions with business stakeholders. Develop quality assessment plans, rule registers, scorecards, monitoring specifications and evidence requirements. Calculate and validate quality results and explain the implications for operational and analytical use. Maintain data-quality issue registers and support transparent prioritisation based on impact, urgency, frequency, sensitivity and complexity. Facilitate root-cause analysis across process, people, system, integration and data-design factors. Develop remediation plans with owners, target dates, dependencies, validation steps and closure evidence. Coordinate quality controls with metadata, master data, architecture, engineering, security and analytics teams. Define dashboards and reporting routines for ongoing monitoring and escalation. Validate remediation outcomes and distinguish corrected records from resolved root causes. Train client teams to maintain rules, interpret measures, investigate issues and govern exceptions.<br><br>Minimum Requirements<br><br>Education<br><br>Bachelor's degree in data science, statistics, computer science, information systems or a related field. An equivalent combination of relevant education and directly applicable consulting or implementation experience may be considered.<br><br>Professional Experience<br><br>Typically 4-8 years in data quality, data analysis, testing, governance or data engineering. Experience in data quality, data analysis, data governance, business intelligence or related data-management work. Practical experience profiling data and defining or testing quality rules and thresholds. Experience supporting root-cause analysis, remediation and quality monitoring. Experience explaining quantitative findings to business and technical stakeholders.<br><br>Technical and Domain Knowledge<br><br>Data-quality dimensions, rules, thresholds and measurement methods. Data profiling, anomaly detection and reference-data comparison. Issue prioritisation, root-cause analysis and remediation tracking. Quality scorecards, monitoring, dashboards and escalation. SQL and analytical techniques for validating data. Metadata, lineage, master data and architecture dependencies. Business-rule documentation and control evidence. Quality considerations for operational, analytical and shared data.<br><br>Core Competencies<br><br>Data profiling. Rule design. Root-cause analysis. SQL and analysis. Issue prioritization. Quality monitoring. Analytical rigour. Root-cause thinking. Evidence discipline. Continuous improvement. Facilitating rule-definition and root-cause workshops. Explaining calculations, evidence and limitations clearly. Writing precise rules, findings and remediation actions. Working constructively with data owners, stewards and technical teams. Challenging unsupported assumptions about data fitness. Prioritising issues based on business impact rather than volume alone. Transferring repeatable monitoring and investigation practices to clients.<br><br>Preferred Certifications<br><br>CDMP Associate or Practitioner, with Data Quality specialty preferred ISTQB CTFL where testing is material<br><br>Focus areas<br><br>Data profiling Rule design Root-cause analysis<br><br>Ready to apply for this role?<br><br>Apply for Data Quality Consultant