Data Entry Jobs - Doha Qatar

Exciting Career Opportunities for Qatari Nationals at Mowasalat (Karwa)<br>Why Join Mowasalat? At Mowasalat, we are committed to innovation and excellence in transportation solutions. You’ll have the opportunity to work on cutting-edge projects that transform the way people move, all while growing your career in a fast-paced, technology-driven environment.<br>We are committed to developing Qatari talent and building sustainable career pathways that support Qatar Vision 2030. We are expanding our teams and inviting motivated Qatari nationals to join us at the early stages of their professional journey.<br>We are hiring for entry-level to early-career roles across multiple functions. This opportunity is ideal for fresh graduates or professionals with up to 2 years of experience who are eager to learn, grow, and contribute to a leading Qatari organization.<br>Open Functional Areas Legal Audit Finance Information Technology (IT) Mechanical Engineering Electrical Engineering Supply Chain Human Resources<br>What We Offer:Opportunities for dynamic career growth and professional development Collaborative and innovative work environment Hands-on experience with the latest technologies Structured learning and professional development Long-term career growth within a leading Qatari Organization The chance to contribute to sustainable and innovative transportation solutions for Qatar<br>Ideal Candidates:Bachelor’s degree in relevant discipline with a minimum GPA of 3Strong analytical and problem-solving skills Passion for technology, innovation, and the transportation industry Ability to work effectively in a team-oriented environment A desire to make a positive impact on the community Enthusiastic about contributing to Qatar’s Vision 2030

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

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.

Role Summary:Doha Bank is seeking a seasoned technology leader with deep expertise in Data Architecture, Enterprise Data Management, and Governance to head its Data Intelligence & Analytics department. This strategic role is pivotal in shaping the Bank’s data ecosystem, ensuring robust architecture, governance, and delivery of actionable insights across all business units.<br>Key Responsibilities:Define and execute the Bank’s enterprise-wide data strategy in collaboration with the CDIO. Lead the design and implementation of scalable data architecture and technology platforms. Establish and enforce data governance frameworks, policies, and standards. Oversee data integration, migration, and automation initiatives across the enterprise. Drive the development of secure, high-performance data infrastructure aligned with regulatory and business needs. Partner with IT and digital transformation teams to build advanced analytics capabilities. Translate business requirements into technical data solutions and architecture blueprints. Ensure compliance with QCB and other regulatory bodies through robust data controls. Promote innovation through the adoption of emerging technologies in data and analytics. Lead a multidisciplinary team of data engineers, architects, and analysts.<br>Qualifications & Experience:Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field. Master’s degree in Technology, Data Science, or Management is preferred.15+ years of experience in banking or financial services, with a strong focus on data architecture, technology platforms, and governance. Proven experience in leading enterprise data programs and building scalable data solutions. Strong understanding of big data technologies, cloud platforms, and data security. Expertise in data governance, metadata management, and regulatory compliance.<br>Why Join Doha Bank? This is a unique opportunity to lead the transformation of data capabilities at one of the region’s premier financial institutions. You’ll be at the forefront of innovation, driving strategic initiatives that empower smarter decision-making and operational excellence.

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Parsons is seeking a <strong>Data Governance SME</strong> to support the end-to-end delivery of a large-scale Geospatial Digital Twin programme for a major national infrastructure owner in the Middle East. This multi-year initiative will design, build, and operationalize an Operational Digital Twin platform that integrates geospatial data, real-time IoT/SCADA feeds, asset information, and core enterprise systems to enable data-driven planning, operations, and maintenance. The role will be working closely with the Product Manager and a team of international experts, architects, and engineers.</p> <p>The scope spans discovery and stakeholder engagement, data and information architecture design, proof-of-concept delivery, implementation of a production-grade environment, post-implementation support, and structured training and knowledge transfer. The Data Governance SME will help define and implement data governance frameworks, policies, and processes, support master and reference data management, contribute to data-quality and metadata management activities, and assist in driving trustworthy, well-governed data across all Digital Twin use cases.</p> <p><strong>What You ll Be Doing</strong></p> <ul> <li><p>Support the Product Manager and Data &amp; Architecture team in defining data governance objectives, scope, and priorities for the Operational Digital Twin across planning, operations, and maintenance domains.</p></li> <li><p>Assist in establishing and documenting data governance frameworks, policies, roles, and processes, including data ownership, stewardship, issue management, and change control.</p></li> <li><p>Help identify and catalogue critical data domains (e.g., assets, network, locations, work orders, sensors), and support the development and maintenance of related data dictionaries, business glossaries, and metadata.</p></li> <li><p>Support data-quality management activities by defining quality rules and KPIs, assisting with profiling and assessment, and tracking remediation actions with relevant stakeholders.</p></li> <li><p>Assist in coordinating master and reference data management activities in collaboration with the Data Architect / Ontologist, GIS team, and enterprise system owners.</p></li> <li><p>Support compliance with relevant data protection, privacy, and security policies by working with cybersecurity and infrastructure teams to embed governance requirements into solution design and operations.</p></li> <li><p>Assist in preparing data-governance documentation, guidelines, and training materials, and in running awareness sessions and workshops with client data owners and stewards.</p></li> </ul> <p><strong>What Required Skills You ll Bring</strong></p> <ul> <li><p>Degree in information management, computer science, engineering, or related discipline from an accredited institution</p></li> <li><p>Experience supporting data governance, data management, or information management activities for large-scale digital, platform, or enterprise solutions in infrastructure, utilities, or urban environments</p></li> <li><p>Experience of establishing data governance concepts to support Esri ArcGIS implementations</p></li> <li><p>Working knowledge of core data-governance concepts, including data ownership and stewardship, data-quality management, metadata management, and master / reference data management</p></li> <li><p>Comprehensive understanding of data and information architecture concepts, particularly for geospatial, time-series, and asset / network data, and how these support operational use cases.</p></li> <li><p>Exposure to enterprise and operational systems such as EAM/CMMS, ERP, BIM, SCADA/IoT platforms, GIS, and data warehouses/lakes.</p></li> <li><p>Experience working within multidisciplinary, multinational teams across multiple time zones.</p></li> <li><p>Strong organisational and coordination skills.</p></li> <li><p>Exposure to testing, acceptance, or go-live activities for complex or integrated data platforms.</p></li> <li><p>Excellent communication and documentation skills, with the ability to clearly convey data-governance concepts to non-technical stakeholders.</p></li> <li><p>Fluency in spoken and written English.</p></li> </ul> <p><strong>What Desired Skills You ll Bring</strong></p> <ul> <li><p>Prior work with national infrastructure owners, transport authorities, utilities, or public works organisations.</p></li> <li><p>Professional certifications in data management or governance</p></li> <li><p>Arabic is an advantage.</p></li> </ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Degree in information management, computer science, engineering, or related discipline from an accredited institution</p> <p>Experience supporting data governance, data management, or information management activities for large-scale digital, platform, or enterprise solutions in infrastructure, utilities, or urban environments</p> <p>Experience of establishing data governance concepts to support Esri ArcGIS implementations</p> <p>Working knowledge of core data-governance concepts, including data ownership and stewardship, data-quality management, metadata management, and master / reference data management</p> <p>Comprehensive understanding of data and information architecture concepts, particularly for geospatial, time-series, and asset / network data, and how these support operational use cases.</p> <p>Exposure to enterprise and operational systems such as EAM/CMMS, ERP, BIM, SCADA/IoT platforms, GIS, and data warehouses/lakes.</p> <p>Experience working within multidisciplinary, multinational teams across multiple time zones.</p> <p>Strong organisational and coordination skills.</p> <p>Exposure to testing, acceptance, or go-live activities for complex or integrated data platforms.</p> <p>Excellent communication and documentation skills, with the ability to clearly convey data-governance concepts to non-technical stakeholders.</p> <p>Fluency in spoken and written English.</p><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Parsons is seeking a <strong>Data Architect</strong> to support the end-to-end delivery of a large-scale Geospatial Digital Twin programme for a major national infrastructure owner in the Middle East. This multi-year initiative will design, build, and operationalize an Operational Digital Twin platform that integrates geospatial data, real-time IoT/SCADA feeds, asset information, and core enterprise systems to enable data-driven planning, operations, and maintenance. The role will work closely with the Solution Architect, Data Governance SME, GIS Development Lead, and a team of international experts, developers, and engineers.</p> <p>The scope spans discovery and stakeholder engagement, data and information architecture design, proof-of-concept delivery, implementation of a production-grade environment, post-implementation support, and structured training and knowledge transfer. The Data Architect will help define and maintain data and information models, support design of data flows and integration patterns, contribute to master and reference data management, and assist in ensuring that the Digital Twin platform has a coherent, scalable, and well-governed data foundation across all key use cases.</p> <p><strong>What You ll Be Doing</strong></p> <ul> <li>Support the Solution Architect and Product Manager in defining and maintaining the data and information architecture for the Operational Digital Twin across discovery, PoC, implementation, and post-implementation support phases, including assessing the quality and fitness-for-purpose of data being ingested.</li> <li>Assist in developing logical and physical data models for core domains (e.g., assets, networks, locations, work orders, sensors, events), including relationships with geospatial, time-series, and document/BIM data, ensuring models support accurate, consistent, and trusted data.</li> <li>Help design data flows and integration patterns between the Digital Twin platform and enterprise/operational systems (e.g., EAM/CMMS, ERP, BIM, SCADA/IoT, GIS, data warehouses/lakes), in collaboration with the Integration Lead and Programmer (API), including defining validation checks and quality rules for ingested data.</li> <li>Perform data profiling and quality assessment on source and ingested datasets to identify data-quality issues (e.g., missing, inconsistent, duplicate, or out-of-range values), and evaluate their impact on the Operational Digital Twin use cases.</li> <li>Produce clear recommendations and requirements for business and technical teams on how to address identified data-quality deficiencies (e.g., source-system corrections, cleansing rules, enrichment, standardisation, additional controls), and track the implementation and effectiveness of these measures.</li> <li>Support data-modelling and schema decisions for storage and access across different technologies (relational, time-series, geospatial, and NoSQL/analytical stores), ensuring alignment with performance, scalability, and defined data-quality thresholds.</li> <li>Assist the Data Governance SME in defining and documenting data dictionaries, business glossaries, and metadata, and in aligning data models and quality rules with governance policies, ownership, and control frameworks.</li> <li>Help prepare and maintain data-architecture and integration documentation, including models, interface specifications, lineage views, data-quality rules, and design decision records, and support related design reviews with Parsons and client stakeholders.</li> </ul> <p><strong>What Required Skills You ll Bring</strong></p> <ul> <li>Degree in information management, computer science, engineering, or a related technical discipline from an accredited institution.</li> <li>Experience contributing to data-architecture or data-modelling activities for large-scale digital, platform, or analytics solutions, preferably in infrastructure, utilities, or urban environments.</li> <li>Working knowledge of data-modelling techniques and patterns, including conceptual, logical, and physical models, and experience with at least one mainstream data-modelling or diagramming tool.</li> <li>Basic understanding of geospatial, time-series, and asset/network data, and of how these are used in operational and analytical use cases.</li> <li>Exposure to enterprise and operational systems such as EAM/CMMS, ERP, BIM, SCADA/IoT platforms, GIS, and data warehouses/lakes, and to common data-integration approaches.</li> <li>Experience working within multidisciplinary, multinational teams across multiple time zones.</li> <li>Strong analytical, organisational, and coordination skills, with some experience in structured project or delivery environments (e.g., PMI, PRINCE2, Agile/Hybrid).</li> <li>Exposure to testing, acceptance, or go-live activities for data platforms or data-heavy solutions.</li> <li>Excellent communication and documentation skills, with the ability to clearly explain data structures, flows, and trade-offs to both technical and non-technical stakeholders.</li> <li>Fluency in spoken and written English; Arabic language skills are a strong advantage.</li> </ul> <p><strong>What Desired Skills You ll Bring</strong></p> <ul> <li>Prior work with national infrastructure owners, transport authorities, utilities, or public works organisations.</li> <li>Experience working on Digital Twin, smart city, or advanced analytics programmes with complex geospatial and time-series data.</li> <li>Familiarity with modern data-platform and lakehouse architectures, and with cloud data services on platforms such as Azure or AWS.</li> <li>Experience working with data-governance frameworks and tools, and collaborating closely with data-governance and cybersecurity teams.</li> <li>Professional certifications in data management, architecture, or cloud data technologies.</li> </ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Degree in information management, computer science, engineering, or a related technical discipline from an accredited institution.</p> <ul> <li>Experience contributing to data-architecture or data-modelling activities for large-scale digital, platform, or analytics solutions, preferably in infrastructure, utilities, or urban environments.</li> <li>Working knowledge of data-modelling techniques and patterns, including conceptual, logical, and physical models, and experience with at least one mainstream data-modelling or diagramming tool.</li> <li>Basic understanding of geospatial, time-series, and asset/network data, and of how these are used in operational and analytical use cases.</li> <li>Exposure to enterprise and operational systems such as EAM/CMMS, ERP, BIM, SCADA/IoT platforms, GIS, and data warehouses/lakes, and to common data-integration approaches.</li> <li>Experience working within multidisciplinary, multinational teams across multiple time zones.</li> <li>Strong analytical, organisational, and coordination skills, with some experience in structured project or delivery environments (e.g., PMI, PRINCE2, Agile/Hybrid).</li> <li>Exposure to testing, acceptance, or go-live activities for data platforms or data-heavy solutions.</li> <li>Excellent communication and documentation skills, with the ability to clearly explain data structures, flows, and trade-offs to both technical and non-technical stakeholders.</li> <li>Fluency in spoken and written English; Arabic language skills are a strong advantage.</li> </ul><p></p></section>

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.

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.

Job Description<br><br>Strong experience in data analysis, data engineering, or AI development (Microsoft Copilot, Google Gemini Enterprise) Proficiency in programming languages such as Python and SQL. Experience with machine learning frameworks Knowledge of data visualization and BI tools Understanding of databases, data warehouses, and cloud data platforms Strong analytical and problem-solving skills Good communication and documentation abilities<br><br>Responsibilities<br><br>Design, develop, and maintain data pipelines, databases, and data platforms Collect, clean, and transform structured and unstructured data Build, train, test, and deploy AI / machine learning models Develop dashboards, reports, and data insights for business users Integrate AI solutions with business applications and systems Ensure data quality, governance, security, and privacy compliance Monitor and optimize data and AI model performance Collaborate with business, IT, and analytics teams to translate needs into solutions Document data models, pipelines, and AI solutions<br><br>Qualifications<br><br>Bachelor’s degree3-6 years of experience Experience with cloud platforms (AWS, Azure, GCP)

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>The Information Security Officer (Data &amp; AI) is a senior technical role responsible for the implementation, operation, and enforcement of data security controls across IT and AI platforms. The role ensures that organizational data is properly protected, encrypted, monitored, and compliant with Qatar’s national requirements (PDPPL, NIA, QCSF) through practical and scalable security mechanisms.</p><br><p><strong>Data Security Architecture &amp; Implementation</strong></p><ul><li><p>Security Architecture: Design and implement data security controls including DLP, encryption, and data protection mechanisms across structured and unstructured environments.</p></li><li><p>Control Enforcement: Ensure consistent enforcement of data classification, encryption, and access controls across databases, endpoints, and cloud platforms.</p></li><li><p>Compliance Enablement: Translate PDPPL and national data classification requirements (C0–C4) into enforceable technical controls.</p><p><br></p></li></ul><p><strong>Data Privacy Engineering</strong></p><ul><li><p>Privacy Controls Implementation: Embed privacy controls (masking, tokenization, anonymization) into applications and data platforms.</p></li><li><p>DPIA Execution: Conduct Data Protection Impact Assessments (DPIAs) with a focus on identifying and mitigating technical risks.</p></li><li><p>Data Visibility: Implement data discovery, classification, and lineage tooling to track sensitive data flows.</p></li><li><p>Data Residency Controls: Enforce data residency and sovereignty requirements across cloud platforms (Azure/GCP).</p><p><br></p></li></ul><p><strong>AI Data Security</strong></p><ul><li><p>AI Security Controls: Implement safeguards for Generative AI and LLM usage, including access control, logging, and data leakage prevention.</p></li><li><p>Data Sanitization: Apply masking and anonymization techniques to datasets used in AI/ML pipelines.</p></li><li><p>Third-Party Risk (Technical): Perform technical security validation of AI vendors, focusing on data handling and model training exposure risks.</p><p><br></p></li></ul><p><strong>IT/OT Data Protection Integration</strong></p><ul><li><p>Secure Data Transfer: Implement encryption and data filtering controls for data flows between OT and IT/cloud environments.</p></li><li><p>Segmentation Controls: Enforce security controls at Industrial DMZ and integration points (e.g., firewalls, proxies, encryption gateways).</p></li><li><p>Monitoring &amp; Risk Detection: Support detection of data exposure risks from industrial systems through logging and monitoring solutions.</p></li></ul><p><br></p><p><strong>Data Protection Operations &amp; Cryptography</strong></p><ul><li><p>Encryption &amp; Key Management: Operate and manage encryption solutions including HSMs and Cloud KMS (BYOK/HYOK).</p></li><li><p>Security Tools Operation: Deploy, tune, and operate DLP, Database Activity Monitoring (DAM), and data classification tools (e.g., Microsoft Purview / Azure Information Protection).</p></li><li><p>Monitoring &amp; Response: Support incident detection and response related to data leakage, misuse, or unauthorized access.</p><p><br></p></li></ul><p><strong>Experience-</strong></p><ul><li><p>8+ years in Information Security, with at least 5 years focused on data security implementation or privacy engineering</p></li><li><p>Experience in Critical Infrastructure, Energy, or Government sectors (Qatar regulatory exposure preferred)</p></li><li><p>English (Fluent); Arabic (Preferred)</p></li></ul><p><br></p><p><strong>Technical Competencies:</strong></p><ul><li><p>Cloud: Hands-on implementation of Azure/GCP data security controls</p></li><li><p>Regulations (Applied): Practical implementation of PDPPL, ISO 27001, NIA, NIST CSF</p></li><li><p>AI/ML: Understanding of AI data security risks (e.g., OWASP Top 10 for LLMs)</p></li><li><p>OT Exposure: Familiarity with Purdue Model and IEC 62443</p></li></ul><p><br></p><p><strong>Certifications:</strong></p><ul><li><p>CISSP or CISM</p></li><li><p>CDPSE or CIPP/E</p></li><li><p>CCSP or relevant AI security certifications (e.g., AIGP)</p></li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>.</p><p></p></section>

ROLES & RESPONSIBILITIES :<br>Data Authority & Accountability Define and enforce data ownership and accountability models Ensure all KPIs and AI features have accountable data owners Act as the final authority for data used in Observatory decisions<br>Data Maturity Governance for Decision Confidence Govern maturity of data supporting KPI interpretation and performance monitoring Assess data stability, consistency, and historical integrity Communicate data confidence levels and limitations to decision-makers<br>Data Governance for AI & Decision Intelligence Govern data suitability for AI training and inference Assess risks such as bias, leakage, and feature instability Support AI accreditation decisions with data authority insights<br>SKILLS & COMPETENCIES :<br>Bachelor’s degree in Information Systems, Data Management, or related field DAMA/CDMP or equivalent certifications preferred

Role :This role is responsible for leading and overseeing the organization's Data Governance function, ensuring that data is trusted, well-defined, protected, and effectively utilized to support business decision-making, AI initiatives, and regulatory compliance. The role acts as the key link between business units, IT, BI, Risk, Privacy, and Compliance functions to establish and sustain a robust data-driven culture. <br>This position owns the Data Governance program end-to-end, including thedevelopment and implementation of governance frameworks, policies, standards, and operating models that ensure data integrity, quality, security, accessibility, and compliance with applicable regulations and industry standards. <br>The role is accountable for the effective management of data quality, metadata, master data, stewardship, and governance processes across the organization. Additionally, the role drives Data Governance projects and strategic initiatives, overseeing execution through the Data Governance Council, coordinating cross-functional stakeholders, managing risks and dependencies, monitoring progress, and ensuring the timely delivery of governance objectives aligned with business priorities. The role also contributes to the development and execution of data and AI governance strategies, fostering innovation, operational excellence, and alignment with the organization's strategic goals.<br>About the Business Unit:AI & Data Governance team is responsible for developing and implementing data governance frameworks and AI strategies to ensure data integrity, security, compliance, and to drive innovation and operational excellence within Ooredoo. Additionally, the team manages AI projects and proof of concepts, tracks data initiatives, and coordinates with cross functional teams to ensure timely delivery and value realization.<br>Minimum Experience, Essential Knowledge & Skills:10 years' experience in a similar role. Experience in Data Management, Governance, Quality and Strategy. Strong understanding of Data governance operating models and best practices. Data privacy laws and compliance frameworks. AI governance, ethical AI principles, and responsible data usage.<br>Minimum Qualifications:Bachelor's Degree in Business Administration or Engineering or Project Management.

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.

Job Description<br><br>Must have a production experience in building metadata driven ELT/ETL frameworks for data ingestion and processing. Must have a production experience working with Data lakes, ETL/ELT, Data warehousing using Azure ADLS Gen2, Databricks, Azure Data Factory, & Synapse Analytics Working knowledge stream processing pipelines and highly scalable big data stores using Spark, Azure Stream Analytics, Event Hubs, Azure Data Explorer etc. Experience with relational SQL, NoSQL databases, and data lakes: Azure SQL Database, Azure Data Lake. Experience with data management and data governance tools e.g. Azure Purview Experience with programming languages and scripting: Python, Scala, Java, bash, Azure CLI, Power Shell etc. Must have a strong understanding of CI/CD practices and technologies specifically Azure Dev Ops Must have substantial background in data extraction and transformation, developing data pipelines using MS SSIS and Azure Data Factory, Informatica IDMC. Strong understanding of business processes, requirements analysis, and collaboration with business system owners to design and build data products. Good to have. OCI data engineering experience. Experience with big data tools: Hadoop, Spark, Kafka, Storm, Hive, Hbase<br><br>Responsibilities<br><br>Create and maintain optimal and scalable data pipeline architecture. Assemble large, complex data sets that meet functional / non-functional business requirements. Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources. Drive design, model, implement, and operate large, structured and unstructured datasets. Evaluate and implement efficient distributed storage and query techniques. Design and implement monitoring of data services platform. Design and implement Data Lakes and Data Warehouse solutions. Keeps track of industry best practices and trends and through acquired knowledge, takes advantage of process and system improvement opportunities. Develop and maintain technical documentation and operational procedures.<br><br>Qualifications<br><br>Bachelor's degree in fields like Computer Science, Computer Engineering, Business Analytics, or a related field. Certification: Azure certified data engineer8+ years hands-on ETL development experience,Data pipeline design & development,Data lakes & Warehouse project development experience, MS Azure Data Factory/SSIS. Azure Delta lake, Azure storage, Informatica IDMC. Azure certification Proven experience building, optimizing, and monitoring big data pipelines, architectures, and data sets.<br><br>About Malomatia<br><br> ABOUT US <br><br>malomatia is a leading Qatar-based IT services and solutions provider, bringing together top Qatari and international talent to deliver innovative, end-to-end technology solutions that empower clients to achieve their strategic goals.<br><br>Our mission<br><br>Empowering Qatar’s businesses and governments to leap into the digital future with agile, knowledge-driven solutions.<br><br>Our vision<br><br>To become Qatar’s trusted knowledge partner in digital transformation, disrupting industries, shaping the future, and building a world-class tech ecosystem.<br><br>Driving change that makes a real impact<br><br>Since 2008, malomatia has been driving Qatar’s digital transformation through innovative, ISO-certified IT solutions. With expertise across key public and private sectors, we empower the nation’s vision with advanced services in cloud, cybersecurity, AI, and contact center excellence, elevating the role of technology in shaping Qatar’s sustainable future.<br><br>About The Team<br><br>Established in 2008, malomatia is a Qatari leader in IT services and digital transformation. We serve key sectors including Government, Healthcare, Education, Customs, and Transportation, delivering impactful solutions that support national development goals. Powered by a diverse team of skilled Qatari and international IT professionals, we deliver innovative, high-value digital solutions tailored to the unique needs of our clients.<br><br>Our mission is to inspire customers to thrive through digital excellence, and we envision becoming the trusted partner of choice in building a smarter society through technology and talent. We are driven by core values that define our culture and approach: ownership, integrity, empathy, teamwork, transparency, agility, excellence, trust, and innovation.<br><br>Join us in shaping the future of technology in Qatar

Hello!! Greetings from Linnk Group!! Job Title: Data Engineer???? Location: Doha, Qatar???? Experience: 5+ Years???? Employment Type: Yearly Renewable Contract----???? Candidate Preference:✅ Candidates currently based in Qatar only.✅ Arabic & European nationals only.<br>Job Overview We are looking for an experienced Data Engineer to design, build, and optimize scalable data pipelines and modern data platforms supporting analytics and AI initiatives.<br>Key Responsibilities Build and maintain ETL/ELT data pipelines. Develop solutions using Azure Data Factory, Synapse, and Databricks. Manage relational, NoSQL, and vector databases. Design data models and optimize SQL queries. Ensure data quality, governance, and pipeline performance. Collaborate with cross-functional teams to support AI and analytics projects.<br>Required Skills5+ years of Data Engineering experience. Strong Python and SQL skills. Hands-on experience with Azure Data Factory, Synapse, and Databricks. Experience with relational, NoSQL, and vector databases (Pinecone, Weaviate, etc.). Knowledge of ETL/ELT, data modelling, and schema design. Preferred Skills Experience with LLM data preparation, RAG, and semantic search. Knowledge of Azure Open AI or other Gen AI platforms. Familiarity with data governance and compliance.<br>If you are interested in for the role, please do share your CV to subin.pv@linnk.com<br>KR,

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

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

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