Data Entry Jobs in Qatar

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Design and manage scalable data infrastructure to support operational and analytical systems.</p><p>Key Responsibilities:</p><ul><li>Build and maintain data pipelines and architectures</li><li>Ensure data quality, performance, and availability</li><li>Support real-time and batch data processing</li><li>Collaborate with IT, security, and operations teams</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Degree in Computer Science / IT or related</li><li>8 10+ years in data engineering</li><li>Strong experience with databases and big data technologies</li></ul><p></p></section>

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.

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>We are looking for an experienced IT Data &amp; AI Specialist to design, develop, and maintain data engineering and AI solutions that support business operations and digital transformation initiatives.</p><p>Key Responsibilities</p><ul><li>Design, develop, and maintain scalable data pipelines and data platforms.</li><li>Collect, clean, and transform structured and unstructured data.</li><li>Build, train, test, and deploy Machine Learning and Generative AI models.</li><li>Develop dashboards, reports, and actionable business insights.</li><li>Integrate AI solutions with enterprise applications.</li><li>Ensure data quality, governance, security, and compliance.</li><li>Monitor and optimize data pipelines and AI model performance.</li><li>Collaborate with business and technical stakeholders to deliver data-driven solutions.</li><li>Document data models, pipelines, and AI implementations.</li></ul><p>Required Skills</p><ul><li>Data Analysis</li><li>Data Engineering</li><li>Generative AI</li><li>Python</li><li>SQL</li><li>Machine Learning</li><li>AWS / Azure / GCP</li><li>Data Pipelines</li><li>Data Warehousing</li><li>ETL</li><li>Data Visualization / BI Tools</li><li>Cloud Computing</li></ul><p>Preferred Skills</p><ul><li>Microsoft Copilot</li><li>Google Gemini Enterprise</li><li>Large Language Models (LLMs)</li><li>Prompt Engineering</li><li>AI Solution Integration</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"><b>Qualifications</b></p><ul><li>Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field.</li><li>36 years of experience in Data Engineering, Data Analytics, AI, or Machine Learning.</li><li>Strong hands-on experience with Python and SQL.</li><li>Experience with Machine Learning frameworks.</li><li>Experience working with AWS, Azure, or GCP cloud platforms.</li><li>Strong analytical, communication, and problem-solving skills.</li></ul><b>Location Preference:</b><ul><li>Candidates willing to relocate to Qatar.</li></ul><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> About the job BUSINESS DATA ANALYST - SERVICENOW - INVESTMENT (BANKING) <p>Role Summary</p><br> <p>The Business Data Analyst analyses, documents, and governs conceptual data models and Information Objects across enterprise systems, maintaining the enterprise semantic standard within ServiceNow EA.</p><br> <p>Key Responsibilities</p><br> <ul> <li>Analyse conceptual data models across enterprise systems.</li> <li>Document and manage Information Objects within ServiceNow EA.</li> <li>Maintain the Information Object glossary and conceptual data model.</li> <li>Ensure consistent use of Information Objects across governance, architecture, and solution design.</li> <li>Collaborate with architects, business analysts, and data governance teams to align enterprise semantic standards.</li> </ul> <p>Required Experience &amp; Skills</p><br> <ul> <li>Minimum 3 years' experience in business analysis, enterprise architecture support, or data management.</li> </ul> <p>Preferred / Advantageous</p><br> <ul> <li>Hands-on ServiceNow EA experience (strongly preferred).</li> <li>Investment management or financial services exposure.</li></ul> <p>Vertical:</p><br> <p>Technology</p><br> <br> <br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span><b><span>The Data Engineer (AMI) is responsible for designing, building, and maintaining the data infrastructure required to support AMI data collection, processing, storage, and analytics. The role ensures data availability, performance, scalability, and reliability for operational and analytical users.&nbsp;</span></b><br><br></span><br><span>Requirements</span><ul><li><p><span>Bachelor’s degree in Computer Science, Information Systems, or a related discipline.</span><br></p><br></li><li><p><span>Cloud / Data Engineering certification (AWS, Azure, or GCP).</span><br></p><br></li><li><p><span>Minimum 9 years of relevant experience in data engineering or similar roles.</span><br></p><br></li><li><p><span>Expertise in data pipeline design and development.</span><br></p><br></li><li><p><span>Proficiency in databases and big data technologies (Hadoop, Spark).</span><br></p><br></li><li><p><span>Strong analytical, problem-solving, and system optimization skills.</span><br></p><br></li><li><p><span>Experience working with large-scale data systems, preferably utility or AMI environments.</span><br></p><br></li><li><p><span>Strong coordination and communication skills.</span><br></p><br></li><li><p><span>Ability to work in cross-functional teams including IT, cybersecurity, and operations.</span><br></p><br></li><li><p><span>Written and spoken English is essential; Arabic is preferred.</span><br></p><br></li></ul><br> </div>

<p>Guildhall is currently supporting a leading engineering company in Doha, Qatar on major road infrastructure and pavement asset management projects. We are currently recruiting for an experienced Pavement Data Collection / Processing Engineer to join their growing team. This is a key role responsible for processing, validating, and quality checking pavement condition data while ensuring the highest standards of accuracy, compliance, and technical excellence across pavement survey projects. Key Responsibilities: - Process, validate, and analyze pavement condition data collected from automated survey systems, ensuring accuracy, consistency, and compliance with project specifications. - Perform QA/QC reviews of pavement data, identify discrepancies, implement corrective actions, and maintain high-quality documentation throughout project delivery. - Conduct pavement condition assessments, evaluate pavement distresses, and support pavement asset management in accordance with ASTM D6433, LTPP, and PCI standards. - Utilize LCMS-2, ROMDAS, Data View, PMS, and GIS platforms (ArcGIS/QGIS) to process, manage, and visualize pavement survey data. - Collaborate with project teams to prepare technical reports, provide project updates, and support the successful delivery of pavement engineering projects.</p><p>-Bachelor's Degree in Civil Engineering, Pavement Engineering, Transportation Engineering, or a related discipline -5–10 years of experience in pavement engineering, pavement condition assessment, or pavement asset management -Strong experience in QA/QC of processed pavement condition data and pavement distress rating -Hands-on experience with LCMS-2 is essential -Experience reviewing and validating pavement distress data, including cracking, rutting, ravelling, bleeding, texture, and roughness -Good understanding of ASTM D6433, LTPP, and pavement condition rating systems (PCI preferred) -Familiarity with ROMDAS, Data View, or similar pavement data processing software -Experience with Pavement Management Systems (PMS) is highly desirable -GCC or international pavement survey project experience is preferred -Experience with ARAN, Hawkeye, or other pavement data collection systems is an advantage -Knowledge of ArcGIS or QGIS is beneficial -Basic Python or R scripting skills for data validation or automation are a plus</p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <br><p><strong>Role Summary:</strong><br>Responsible for analyzing operational data to ensure accuracy, support reporting, and drive performance improvements.</p><br><br><br><p><strong>Key Responsibilities:</strong></p><br><br><ul><li>Analyze and validate large datasets for accuracy and completeness</li><li>Develop dashboards and performance reports</li><li>Identify trends, anomalies, and improvement opportunities</li><li>Coordinate with operations and IT teams for data consistency</li></ul><br><p><strong>Requirements:</strong></p><br><br><ul><li>Degree in Data Science, Engineering, or related field</li><li>Minimum 4+ years in data analysis</li><li>Strong skills in Power BI / Tableau / SQL / Python</li><li>Excellent analytical and reporting capabilities</li></ul> <br><br> </div>

<p>Guildhall is currently supporting a leading engineering company in Doha, Qatar on major road infrastructure and pavement asset management projects. We are currently recruiting for an experienced Pavement Data Collection / Processing Engineer to join their growing team. This is a key role responsible for processing, validating, and quality checking pavement condition data while ensuring the highest standards of accuracy, compliance, and technical excellence across pavement survey projects. Key Responsibilities: - Process, validate, and analyze pavement condition data collected from automated survey systems, ensuring accuracy, consistency, and compliance with project specifications. - Perform QA/QC reviews of pavement data, identify discrepancies, implement corrective actions, and maintain high-quality documentation throughout project delivery. - Conduct pavement condition assessments, evaluate pavement distresses, and support pavement asset management in accordance with ASTM D6433, LTPP, and PCI standards. - Utilize LCMS-2, ROMDAS, Data View, PMS, and GIS platforms (ArcGIS/QGIS) to process, manage, and visualize pavement survey data. - Collaborate with project teams to prepare technical reports, provide project updates, and support the successful delivery of pavement engineering projects.</p><p>-Bachelor's Degree in Civil Engineering, Pavement Engineering, Transportation Engineering, or a related discipline -5–10 years of experience in pavement engineering, pavement condition assessment, or pavement asset management -Strong experience in QA/QC of processed pavement condition data and pavement distress rating -Hands-on experience with LCMS-2 is essential -Experience reviewing and validating pavement distress data, including cracking, rutting, ravelling, bleeding, texture, and roughness -Good understanding of ASTM D6433, LTPP, and pavement condition rating systems (PCI preferred) -Familiarity with ROMDAS, Data View, or similar pavement data processing software -Experience with Pavement Management Systems (PMS) is highly desirable -GCC or international pavement survey project experience is preferred -Experience with ARAN, Hawkeye, or other pavement data collection systems is an advantage -Knowledge of ArcGIS or QGIS is beneficial -Basic Python or R scripting skills for data validation or automation are a plus</p>

Role Description This is a full-time, on-site Supply Chain Data Coordinator role located in Doha, Qatar. The Supply Chain Data Coordinator will be responsible for organizing product and shipment data received from suppliers, maintaining structured records, and supporting coordination between suppliers, inventory, and e-commerce teams. The role involves tracking shipments, preparing product data, and ensuring operational accuracy as our e-commerce operations continue to scale.<br>Responsibilities• Monitor supplier shipment updates and incoming product information• Organize and maintain accurate product data using Excel or Google Sheets• Prepare and share product lists with inventory and e-commerce teams• Track shipment status and maintain up-to-date shipment records• Ensure all incoming products are properly documented and structured• Support management with operational reporting and updates<br>Qualifications• Bachelor’s degree in Business Administration, Supply Chain, or related field (preferred)• 1–3 years of experience in supply chain, logistics, or e-commerce (preferred)• Strong organizational and communication skills• Proficiency in Microsoft Excel or Google Sheets• Strong attention to detail and data accuracy• Must be living in Qatar• Must be ready to work immediately<br>How to Apply Send your CV to career@arkanmktg.com

Position Overview:<br>We are seeking a talented and motivated Data Scientist to join our Group Actuarial team.<br>Develop and deploy data-driven solutions using R, RShiny, Python, and SQL to analyze and interpret complex datasets.<br>Utilize Large Language Models (LLMs), Optical Character Recognition (OCR) and Web Scrappingtechnologies to extract, analyze, and model unstructured data.<br>Work with cloud platforms, particularly Google Cloud Platform (GCP) and Azure, to design scalableand efficient data pipelines and environments.<br>Leverage analytics: Mathematics and Statistics, modelling and modern machine learningtechniques, Optimization.<br>Understand complex databases and perform data management, cleaning, transformation andvisualization.<br>Build intuitive user interfaces using tools such as Shiny or Dash, enabling non-technical users toeasily interact with predictive models and analytics dashboards.<br>Create and maintain predictive analytics models, dashboards, automation program and other datadriven tools for technical teams and business stakeholders.<br>Stay up to date with the latest developments in data science, cloud computing, and AI tocontinuously improve data products.<br>Knowledge of actuarial concepts is a plus.<br>Qualifications and Experience:<br>• Advanced University degree (Master’s preferred) in Mathematics, Statistics, Computer Science, Economics, Actuarial or any related field.<br>• Minimum 3-5 years of relevant experience (experience level depending on the profile)

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <ul><li>Analyze metering data from Advanced Metering Infrastructure (AMI) and related systems to identify consumption patterns, trends, anomalies, and operational insights.</li><li>Prepare analytical reports, dashboards, and performance summaries to support management decision-making and operational planning.</li><li>Monitor AMI network data health by performing regular data validation, cleansing, reconciliation, and quality assurance activities.</li><li>Coordinate with metering, IT, engineering, and operations teams to ensure data accuracy, consistency, and integrity across all integrated systems.</li><li>Investigate data anomalies, communication failures, and system performance issues, and recommend corrective and preventive actions.</li><li>Support performance monitoring, forecasting, and continuous improvement initiatives to enhance metering operations and data reliability.</li><li>Track and analyze operational activities, including work orders, meter commissioning, rectification works, preventive, predictive, corrective, and emergency maintenance, and work completion documentation using structured data analytics.</li><li>Maintain the confidentiality, integrity, and availability of metering data in accordance with corporate governance and information security standards.</li><li>Perform any other duties and responsibilities assigned by the immediate supervisor to support departmental and organizational objectives.</li></ul> <br><br> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Job Summary We are seeking an experienced Senior Data Protection &amp; Privacy Specialist to support the organization s data protection and privacy governance initiatives. The successful candidate will be responsible for managing day-to-day privacy operations, conducting privacy risk assessments, reviewing personal data management processes, and supporting investigations and complaint handling related to personal data protection. The role requires a strong understanding of data protection regulations, cybersecurity principles, privacy governance, and emerging technologies to ensure the organization s compliance with applicable legal and regulatory requirements. Key Responsibilities Perform day-to-day operational activities related to data protection, including receiving and handling complaints, investigations, and privacy-related inquiries. Review and assess Personal Data Management Systems to ensure compliance with applicable privacy requirements and best practices. Conduct Personal Data Privacy Risk Assessments and provide recommendations to mitigate identified risks. Evaluate requests involving the processing of sensitive or special-category personal data and submit recommendations to management for approval. Execute and support procedures related to privacy complaints, investigations, and incident handling. Assist in ensuring compliance with organizational policies and applicable data protection regulations. Prepare reports, documentation, and recommendations related to privacy assessments and investigations. Collaborate with internal stakeholders to promote privacy awareness and support continuous improvement of data protection practices.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><h2>Requirements</h2><p>Qualifications</p><ul><li>Education Bachelor's or Master's degree in Computer Science, Information Technology, Information Security, Cybersecurity, or a related discipline.</li><li>Professional Certifications Candidates holding one or more of the following certifications will be preferred: Certified Information Privacy Manager (CIPM) Certified Information Privacy Professional (CIPP) Equivalent Data Protection or Privacy certifications</li><li>Experience Minimum 8 years of relevant professional experience in data protection, privacy, information security, cybersecurity, compliance, or related fields.</li><li>Required Skills &amp; Knowledge Strong knowledge of data protection and privacy principles. Understanding of cybersecurity concepts, cyber threats, and vulnerabilities. Knowledge of data protection laws, regulations, governance frameworks, policies, and procedures. Familiarity with Artificial Intelligence (AI), blockchain, and other emerging technologies and their impact on privacy. Technical understanding of computer networking concepts, network protocols, and network security methodologies. Experience conducting privacy risk assessments and supporting privacy compliance activities. Strong analytical, problem-solving, documentation, and report-writing skills. Excellent communication and stakeholder management skills. Ability to manage multiple priorities while maintaining a high level of accuracy and professionalism.</li><li>Language Requirements English: Required (written and spoken). Arabic: Preferred but not mandatory.</li><li>Additional Required Skills and Knowledge: Strong understanding of cybersecurity and privacy principles. Familiarity with cyber threats and vulnerabilities. Knowledge of laws, policies, procedures, and governance related to data protection and privacy. Awareness of emerging technologies, including artificial intelligence and blockchain. Technical expertise in computer networking concepts, protocols, and network security methodologies. Excellent communication skills.</li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><strong>Minimum Qualifications:</strong></p><ul><li><p>B. Sc . in Electrical Engineering (Power specialization).</p></li><li><p>Certifications: IR Thermography Level‑1, Partial Discharge, Oil Analysis, Asset Management.</p></li></ul><p><strong>Minimum Experience &amp; Skills:</strong></p><ul><li><p>Minimum 5 years in MV diagnostics testing/analysis.</p></li><li><p>Knowledge of international standards.</p></li><li><p>Technical knowledge of substation equipment.</p></li><li><p>Expertise in condition monitoring techniques.</p></li><li><p>Ability to evaluate asset health independently.</p></li><li><p>Knowledge of risk analysis, criticality index, asset management systems.</p></li></ul><p><strong>Responsibilities:</strong></p><ul><li><p>Evaluate asset condition using field data, records, performance, aging.</p></li><li><p>Define asset condition indices.</p></li><li><p>Link condition to performance.</p></li><li><p>Estimate future condition &amp; remaining life.</p></li><li><p>Evaluate consequences of failures.</p></li><li><p>Quantify risks per asset class.</p></li><li><p>Prioritize &amp; rank assets.</p></li><li><p>Analyze site data (PD, IR, oil, visual).</p></li><li><p>Interpret oil analysis reports (IEC, IEEE, ASTM).</p></li><li><p>Prepare/review reports, defend conclusions, suggest remedial measures.</p></li><li><p>Scan/present large datasets for management.</p></li><li><p>Ensure data quality from site to reporting.</p></li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>.</p><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Urgent Database Administrator Skills Core skills: Based on job listings we looked at, employers want Database Administrator with these core skills. If you want to work in this field, focus on the following.</p><p>Should have working experience MySQL Databases</p><p>Should be able to do performance tuning to database (MySQL) through configuring DB as per requirement and Indexing columns</p><p>Working experience in AWS DBMS is added advantage</p><p>Maintain user for different database and experience in Master Slave Architecture is advantage</p><p>Knowledge about creating database function and procedures for performance improvement is an advantage</p><p>Should be able to establish the needs of users and monitoring user access and security</p><p>Should monitor performance and managing parameters to provide fast responses to front-end users</p><p>Should be able to map out the conceptual design for a planned database</p><p>Should be able to refine the logical design so that it can be translated into a specific data model</p><p>Further refining the physical design to meet system storage requirements</p><p>Installing and testing new versions of the DBMS</p><p>Writing database documentation, including data standards, procedures and definitions for the data dictionary (metadata)</p><p>Controlling access permissions and privileges</p><p>Developing, managing and testing back-up and recovery plans</p><p>Maintains quality service by establishing and enforcing organization standards</p></div></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Provide technical and strategic advisory services to government entities to help them build their data asset registers and implement classification policies. Design guidelines and toolkits to enable government employees to classify data independently and efficiently. Measure the level of compliance of government entities with national data classification policies and submit periodic performance reports to decision-makers. Lead national initiatives to assess cybersecurity risks resulting from improper classification of sensitive data at the state level. Ensure alignment of different entities policies with national data protection and privacy legislation, and identify data sovereignty requirements. Evaluate global technical solutions in data classification and provide recommendations to government entities on the best tools suited to the national infrastructure. Organize national workshops and conferences to transfer knowledge and discuss challenges faced by institutions in implementing data classification projects. The contract duration is 12 months, with the possibility of extension based on departmental requirements.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><h2>Requirements</h2><p>Required Academic Degree Bachelor s degree in (Information Security, Computer Science, or Management Information Systems). Strongly preferred: Master s or PhD in (Data Governance or Public Cybersecurity Policy). Required Training Certificates (If required) CDMP (Certified Data Management Professional) Advanced level CGEIT (Certified in the Governance of Enterprise IT) Audit and compliance certifications such as CISA (Certified Information Systems Auditor) ISO/IEC 27001 Lead Auditor / Implementer Required Years of Experience Minimum 10 years of experience in data governance and security. Must include at least 4 years working on regulatory frameworks, national policies, or consulting for major government institutions. Required Language Proficiency Arabic: Optional English: Required Other: Arabic preferred but not mandatory Other Required Qualifications Regulatory background: Deep understanding of local data and privacy laws and national cybersecurity standards. Consulting skills: Strong ability to influence and negotiate with senior leadership across government entities. Strategic vision: Ability to link data classification to national priorities such as digital transformation, data economy, and digital sovereignty. Institutional excellence: Familiarity with government excellence standards and quality models (e.g., EFQM) to ensure world-class advisory services.</p><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Job Summary We are seeking a highly motivated and experienced Senior AI &amp; Data Presales Lead to drive presales engagements for AI, Data Analytics, Machine Learning, Business Intelligence, and Digital Transformation solutions. The ideal candidate will work closely with customers, sales teams, and technical experts to understand business challenges, design innovative AI and data-driven solutions, and support the complete presales lifecycle.</p><p>Key Responsibilities</p><p>Presales &amp; Solution Consulting</p><ul><li>Lead presales activities for AI, Data, Analytics, and Digital Transformation opportunities.</li><li>Engage with customers to understand business requirements, pain points, and strategic objectives.</li><li>Conduct discovery workshops, requirement-gathering sessions, and solution presentations.</li><li>Translate business requirements into technical solution architectures and value propositions.</li><li>Prepare and deliver compelling demonstrations, proof of concepts (POCs), and solution presentations.</li></ul><p>AI &amp; Data Solution Design</p><ul><li>Design end-to-end AI, Machine Learning, Data Analytics, Data Engineering, Data Governance, and Business Intelligence solutions.</li><li>Recommend appropriate technologies, platforms, and implementation approaches.</li><li>Develop solution architectures leveraging cloud platforms, data platforms, and AI technologies.</li><li>Support customers in defining AI adoption strategies and data transformation roadmaps.</li></ul><p>Proposal &amp; Bid Management</p><ul><li>Lead the preparation of technical proposals, RFP/RFQ responses, and Statements of Work (SOWs).</li><li>Develop effort estimations, solution documentation, and pricing inputs.</li><li>Collaborate with delivery teams to ensure solution feasibility and successful project transition.</li></ul><p>Stakeholder Management</p><ul><li>Work closely with sales, delivery, technology partners, and customer stakeholders.</li><li>Build strong relationships with customers and act as a trusted advisor for AI and data initiatives.</li><li>Support business development activities and identify opportunities for cross-selling and upselling.</li></ul><p>Market &amp; Technology Awareness</p><ul><li>Stay updated on emerging trends in Artificial Intelligence, Generative AI, Machine Learning, Data Science, Data Engineering, and Analytics.</li><li>Monitor competitor offerings and industry best practices.</li><li>Contribute to developing reusable solution accelerators and presales assets.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Minimum 5+ years of experience in Presales, Solution Consulting, Data Analytics, AI, or Digital Transformation roles.</li><li>Strong understanding of:<ul><li>Artificial Intelligence (AI) and Generative AI</li><li>Machine Learning and Predictive Analytics</li><li>Data Engineering and Data Warehousing</li><li>Data Governance and Data Management</li><li>Business Intelligence and Reporting</li><li>Cloud Platforms (Azure, AWS, or GCP)</li></ul></li><li>Experience preparing and presenting technical proposals and solution architectures.</li><li>Strong client-facing, presentation, and stakeholder management skills.</li><li>Experience conducting workshops, solution demonstrations, and executive presentations.</li><li>Ability to translate business requirements into technical solutions.</li></ul><p>Preferred Qualifications</p><ul><li>Bachelor's degree in Computer Science, Information Technology, Data Science, Engineering, or a related field.</li><li>Relevant certifications in AI, Data Analytics, Cloud Technologies, or Data Platforms are preferred.</li><li>Experience with tools and platforms such as:<ul><li>Microsoft Azure AI &amp; Data Services</li><li>AWS AI/ML Services</li><li>Google Cloud AI Platform</li><li>Power BI, Tableau, Qlik</li><li>Databricks</li><li>Snowflake</li><li>Microsoft Fabric</li><li>Python, SQL, and Data Analytics tools</li></ul></li></ul><p>Key Competencies</p><ul><li>Presales Leadership</li><li>Solution Architecture</li><li>AI &amp; Data Strategy</li><li>Customer Engagement</li><li>Proposal Management</li><li>Business Acumen</li><li>Presentation &amp; Communication Skills</li><li>Analytical Thinking</li><li>Problem Solving</li><li>Stakeholder Management</li></ul><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.<br> In this role, as an AI Pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.<br> This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.<br> What We Do The Mindrift platform connects specialists with AI projects from major tech innovators.<br> Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.<br> This is a freelance role for a Tendem project.<br> As a Senior Python Data Scraping Engineer , you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.<br> Key Responsibilities: Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.<br> Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.<br> Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.<br> Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.<br> Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.<br> Requirements: At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).<br> Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.<br> Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows.<br> We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources.<br> A methodical, detail-oriented approach and the ability to work independently are essential.<br> Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML) Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets) Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks Strong attention to detail and commitment to data accuracy Self-directed work ethic with ability to troubleshoot independently A link to GitHub is a plus English proficiency: Upper-intermediate (B2) or above (required) Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $37 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Mindrift is looking for highly skilled Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.<br> In this role, as an AI Pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.<br> This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.<br> What We Do The Mindrift platform connects specialists with AI projects from major tech innovators.<br> Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.<br> About the Role This is a freelance role for a Tendem project.<br> As a Python Data Scraping Engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.<br> Key Responsibilities Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.<br> Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.<br> Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.<br> Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.<br> Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.<br> Compensation On this project, contributors can earn up to $37 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br> How to get started Simply apply to this post, qualify, and get the chance to contribute to projects that match your technical skills, on your own schedule.<br> From coding and automation to fine-tuning AI outputs, you’ll play a key role in advancing AI capabilities and real-world applications.<br> Why this freelance opportunity might be a great fit for you?<br> Work fully remote on your own schedule with just a laptop and stable internet connection.<br> Gain hands-on experience in a unique hybrid environment where human expertise and AI agents collaborate seamlessly — a distinctive skill set in a rapidly growing field.<br> Participate in performance-based bonus programs that reward high-quality work and consistent delivery.<br> At least 3 year of relevant experience in data engineering, web scraping, automation, or software development (required).<br> Bachelor's or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.<br> Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies.<br> Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML).<br> Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets).<br> Hands-on experience with LLMs and AI frameworks to enhance automation and problem-solving.<br> Strong attention to detail and commitment to data accuracy.<br> Self-directed work ethic with ability to troubleshoot independently.<br> A link to GitHub is a plus.<br> English proficiency: Upper-intermediate (B2) or above (required).<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Mindrift is looking for highly skilled Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.<br> In this role, as an AI Pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.<br> This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.<br> What We Do The Mindrift platform connects specialists with AI projects from major tech innovators.<br> Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.<br> About the Role This is a freelance role for a Tendem project.<br> As a Python Data Scraping Engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.<br> Key Responsibilities Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.<br> Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.<br> Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.<br> Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.<br> Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.<br> Compensation On this project, contributors can earn up to $37 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br> How to get started Simply apply to this post, qualify, and get the chance to contribute to projects that match your technical skills, on your own schedule.<br> From coding and automation to fine-tuning AI outputs, you’ll play a key role in advancing AI capabilities and real-world applications.<br> Why this freelance opportunity might be a great fit for you?<br> Work fully remote on your own schedule with just a laptop and stable internet connection.<br> Gain hands-on experience in a unique hybrid environment where human expertise and AI agents collaborate seamlessly — a distinctive skill set in a rapidly growing field.<br> Participate in performance-based bonus programs that reward high-quality work and consistent delivery.<br> At least 3 year of relevant experience in data engineering, web scraping, automation, or software development (required).<br> Bachelor's or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.<br> Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies.<br> Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML).<br> Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets).<br> Hands-on experience with LLMs and AI frameworks to enhance automation and problem-solving.<br> Strong attention to detail and commitment to data accuracy.<br> Self-directed work ethic with ability to troubleshoot independently.<br> A link to GitHub is a plus.<br> English proficiency: Upper-intermediate (B2) or above (required).<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.<br> In this role, as an AI Pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.<br> This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.<br> What We Do The Mindrift platform connects specialists with AI projects from major tech innovators.<br> Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.<br> This is a freelance role for a Tendem project.<br> As a Senior Python Data Scraping Engineer , you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.<br> Key Responsibilities: Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.<br> Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.<br> Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.<br> Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.<br> Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.<br> Requirements: At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).<br> Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.<br> Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows.<br> We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources.<br> A methodical, detail-oriented approach and the ability to work independently are essential.<br> Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML) Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets) Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks Strong attention to detail and commitment to data accuracy Self-directed work ethic with ability to troubleshoot independently A link to GitHub is a plus English proficiency: Upper-intermediate (B2) or above (required) Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $37 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>