Database Developer Jobs

<p>The Senior Technician – Data Extractions is a specialized field role responsible for the end-to- end retrieval, validation, and submission of meter data from electricity and water meters (Bulk and Domestic). This position combines the technical expertise of an electrician with the precision of a data specialist to ensure seamless communication with KAHRAMAA meters using specialized hardware and software. </p><br><p>Key Responsibilities:</p><ol><li><p>Receive work orders and verify meter locations, ensuring accessibility and safe field conditions.</p></li><li><p>Maintain a dedicated vehicle to ensure timely mobilization across assigned zones</p></li><li><p>Identify and report irregularities, including abnormal readings, unauthorized consumption, or signs of tampering</p></li><li><p>Capture photographic evidence and maintain activity logs (screenshots, data files) as supporting evidence. </p></li><li><p>Adhere strictly to KAHRAMAA’s standards, procedures, and safety protocols for electrical and water systems.</p></li><li><p>Establish communication with electricity and water meters using optical probes, communication cables, and interface adapters. </p></li><li><p>Utilize manufacturer-approved software and laptops to extract billing registers, interval data, event logs, tamper records, and configuration parameters. </p></li><li><p>Maintain full technical capability to interface with all KAHRAMAA meter types, ensuring software and drivers are updated and compatible. </p></li><li><p>Validate extracted datasets for completeness and accuracy, ensuring zero data loss or corruption. </p></li><li><p>Format data precisely according to KAHRAMAA requirements.</p></li><li><p>Perform successful uploads/submissions to the KAHRAMAA system and close assigned cases only once data is accepted. </p></li></ol><p><strong>Desired Candidate Profile</strong></p><ol><li><p>Bachelor's degree in electrical engineering / Electronics.</p></li><li><p>Minimum 5 years of relevant experience in electrical field services, meter reading, or industrial data acquisition. </p></li><li><p>Valid KAHRAMAA certification (preferred).</p></li><li><p>Proficient in using field laptops, meter communication software, and handheld reporting tools. </p></li><li><p>Strong understanding of electrical and water metering and systems; familiar with KAHRAMAA standards. </p></li></ol>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> About the job Data &amp; Testing Analyst <p><strong>Position:</strong> Data &amp; Testing Analyst<br><strong>Location:</strong> Qatar<br><strong>Contract Duration:</strong> 6 Months<br><strong>Candidate Requirement:</strong> Only candidates currently available in Qatar</p><br> Job Requirements <ul><li>4–7 years of experience in <strong>data migration, reporting, or ERP testing activities</strong>.</li><li>Hands-on experience in <strong>data cleansing, validation, reconciliation, and migration support</strong>.</li><li>Experience in <strong>SIT/UAT execution and defect management</strong>.</li><li>Strong <strong>MS Excel and analytical skills</strong>.</li><li>Previous <strong>ERP implementation experience</strong> is preferred.</li></ul> <br> <br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> About the job Data &amp; Testing Analyst <p><strong>Position:</strong> Data &amp; Testing Analyst<br><strong>Location:</strong> Qatar<br><strong>Contract Duration:</strong> 6 Months<br><strong>Candidate Requirement:</strong> Only candidates currently available in Qatar</p><br> Job Requirements <ul><li>4–7 years of experience in <strong>data migration, reporting, or ERP testing activities</strong>.</li><li>Hands-on experience in <strong>data cleansing, validation, reconciliation, and migration support</strong>.</li><li>Experience in <strong>SIT/UAT execution and defect management</strong>.</li><li>Strong <strong>MS Excel and analytical skills</strong>.</li><li>Previous <strong>ERP implementation experience</strong> is preferred.</li></ul> <br> <br> </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>

<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>

<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>

The role owning end-to-end data center presales and solution architecture, spanning physical infrastructure (power, cooling, containment, structured cabling), compute, storage, virtualization, and data center networking. Acts as the senior technical authority across Huawei, Supermicro, Legrand, Rittal, FABNET, and other data center vendor lines, translating complex customer requirements into validated, bankable DC designs. Leads large and strategic engagements end-to-end, engages CxOs and facilities/infrastructure stakeholders directly, and mentors junior presales engineers across the distribution team.<br>Accountability & Responsibilities of Role: <br>Presales & Solutioning Own end-to-end data center solution architecture — compute, storage, virtualization, DC networking, physical infrastructure (power, cooling, containment, racks), and structured cabling — integrating Huawei, Supermicro, Legrand, Rittal, and FABNET product lines into unified DC solutions. Lead complex, high-value RFP/RFI responses, DC design workshops, and solution blueprints for greenfield and brownfield projects (Tier III/IV facilities, edge DC, colocation, on-prem to hybrid cloud). Architect designs covering power redundancy (N, N+1, 2N), precision cooling, hot/cold aisle containment, structured cabling, rack/cabinet layout, and DCIM integration. Develop detailed BoQs/BoMs, SoWs, capacity and growth models, and TCO/ROI analyses for large-scale data center investments. Perform in-depth competitive positioning against Cisco, Dell, HPE, Vertiv, Schneider Electric, APC, and other DC vendors, and articulate differentiated value. Validate designs for compliance with international standards (Uptime Institute Tier certification, TIA-942, ASHRAE cooling guidelines).<br>Customer Engagement & Executive Presales Serve as the senior technical face of Starlink to CxOs, IT directors, and facilities/infrastructure heads during presales engagements. Lead technical due diligence, site surveys, PoCs, and pilot deployments for data center infrastructure and networking components. Act as a trusted advisor on data center modernization, consolidation, edge computing, disaster recovery, and hybrid/multi-cloud strategy. Resolve escalated technical objections and provide senior-level backup during critical sales cycles and vendor evaluations.<br>Product Knowledge & Vendor Enablement Maintain expert-level knowledge across DC networking, compute, storage and cloud; Legrand and Rittal data center physical infrastructure (power distribution, UPS, precision cooling, containment, racks/cabinets); structured cabling and fiber solutions; and compute/server platforms. Track emerging DC trends: liquid cooling, AI/HPC-ready infrastructure, modular/prefabricated data centers, DCIM/software-defined infrastructure, and energy-efficiency (PUE) standards. Deliver enablement sessions, technical certifications, and knowledge transfer to junior presales engineers and channel partners.<br>Leadership, Collaboration & Reporting Mentor and provide technical guidance to junior presales and solution engineers within the ICT distribution team. Partner with vendor principals (Huawei, Supermicro, Legrand, Rittal, FABNET, Acer) on joint business planning, technical roadmaps, and strategic account reviews. Build and maintain strong relationships with systems integrators, consultants, and end customers across Qatar's data center and enterprise market. Provide senior-level input into pipeline reviews, forecasting, and presales KPI reporting to management. Represent Starlink at industry events, vendor summits, and technical certification programs.<br>Financial Management:Contribute to development and management of the data center portfolio's presales investment budget, ensuring effective allocation of resources across proposals, PoCs, and pilot activities. Monitor spend and return on investment for RFP responses, technical workshops, and PoC engagements, ensuring solutions remain commercially viable. Identify cost-saving opportunities in solution design and BoQ/BoM development without compromising technical quality or compliance.<br>Team Leadership:Provide technical leadership and mentorship to junior presales and solution engineers across the ICT distribution team. Support the performance development of junior technical staff through structured coaching, knowledge transfer, and certification enablement. Foster a collaborative, high-performing presales culture centred on technical excellence and continuous learning. Contribute to succession planning by building deep bench strength in data center solution architecture skills across the team.<br>Position Requirements:<br>Educational Background:Bachelor's degree in Computer Science, Electrical/Electronics Engineering, or a related field; a relevant Master's or MBA is an advantage. Relevant certifications preferred: HCIE/HCIP (Data Center), Uptime Institute ATD/ADC, VMware VCP, or equivalent DC infrastructure certifications (Legrand, Rittal).<br>Work Experience:15 to 20+ years of experience in data center presales, solution architecture, or infrastructure consulting, including at least 8-10 years in a senior/lead technical capacity. Proven expertise in end-to-end data center design: power distribution, precision cooling, containment, structured cabling, rack/floor layout, and DCIM. Strong technical grounding in DC networking, compute, storage, and virtualization (Huawei preferred; exposure to Dell, HPE, Cisco, VMware, or equivalent is an advantage). Demonstrated track record leading large, complex DC RFPs/RFIs, multi-vendor solution designs, and executive-level technical proposals. Excellent executive presentation, stakeholder management, and negotiation skills. Strong commercial acumen – BOQ/BOM development, pricing strategy, and TCO/ROI modelling. Prior experience mentoring or leading junior presales/technical staff is preferred. Experience working with systems integrators, MEP/facilities contractors, or consultants on data center build/fit-out projects. Exposure to edge computing, hyper-converged infrastructure (HCI), AI/HPC-ready data center design, and sustainability/green DC initiatives (PUE optimisation).<br>Key Competencies:Shaping Strategy: Ability to make sense of complex data, trends and dynamics on continually evolving basis, understand and anticipate the potential impact these may have, and use them to shape the direction of the business Driving Change: Recognizing and anticipating the need for change. Demonstrating openness, flexibility and support for change, aligning people to move in new and challenging directions. Dealing effectively with uncertainty and adapting to new situations and ways of working while staying focused, organized and positive. Leading Teams: Demonstrating the drive required to succeed in a demanding work environment by taking ownership, aligning, building, enabling and inspiring effective teams, not limited to own team. Creating momentum and gaining commitment towards a common goal. Delivering Results & Fostering Ownership: Drive for improving business results and attaining higher levels of performance. Building Customer Value: Gaining insights into internal and/or external customers’ experience. Anticipating their needs and demonstrating concern for satisfying them. Building productive customer relationships. Ensuring clear communication to customers on expectations and beyond. Networking & Influencing Collaboratively: Developing rapport with a diverse range of people. Building and leveraging networks horizontally and vertically. Proactively nfluencing and persuading others to gain support for initiatives. Maintaining collaborative stakeholder relationships. Technical Expertise: Maintains deep, current expertise across data center compute, storage, networking, and physical infrastructure disciplines, and applies this to designing robust, standards-compliant solutions. Commercial Acumen: Applies strong commercial and financial reasoning — including BoQ/BoM development, pricing strategy, and TCO/ROI modelling — to structure competitive, profitable data center proposals.<br>Integrated Management System (IMS) Responsibilities:Quality: Understand and comply with the Quality Management System applicable to the role — including awareness of the Quality Policy and relevant quality objectives, adherence to documented procedures, active contribution to QMS effectiveness and continual improvement, and awareness of the implications of not meeting requirements. Occupational, Health & Safety: Understand and comply with the OH&S Management System applicable to the role — including awareness of the OH&S Policy, adherence to safe work procedures and required PPE, participation in hazard identification and risk control, prompt reporting of hazards, near-misses and incidents, and the right to remove oneself from any situation of imminent and serious danger. Information Security Management: Understand and comply with the Information Security Management System applicable to the role — including awareness of the Information Security Policy and acceptable-use requirements, protection of company and customer information in line with its classification, contribution to ISMS effectiveness, and prompt reporting of information security events and weaknesses.

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Role Overview: Drive advanced analytics, predictive modeling, and machine learning initiatives to support business and operational decisions. Key Responsibilities: Develop predictive and statistical models Identify trends, anomalies, and optimization opportunities Translate data insights into actionable strategies Support deployment of analytics solutions Requirements: Master s or PhD in Data Science, AI, or related field 10 13+ years in advanced analytics Strong programming (Python, AI/ML frameworks)</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Master s or PhD in Data Science, AI, or related field 10 13+ years in advanced analytics Strong programming (Python, AI/ML frameworks)</p><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>

About the Role To lead hydrographic data processing, quality control, charting and final deliverables for marine survey projects including MBES, positioning, tides and bathymetric outputs while supporting in-house projects and reviewing third-party deliverables.<br>Key Responsibilities Process Multibeam Echo Sounder, Global Navigation Satellite System, Inertial Navigation System and ancillary survey data using industry software. Perform data QC, patch test validation, sound velocity correction, tide correction and uncertainty checks. Prepare charts, Digital Terrain Model surfaces, contours and final client deliverables. Review third-party survey reports and identify technical non-conformities. Support offshore acquisition team with technical troubleshooting and survey planning. Ensure compliance with client specifications, company procedures and HSE requirements; promote safe systems of work and stop unsafe activities. Support offshore acquisition teams and survey planning.<br>Qualifications Bachelor degree in Hydrography, Geomatics, Surveying or Marine Science.8+ years hydrographic processing experience. Software experience in EIVA, QINSy, Qimera, CARIS, Auto CAD, Arc GIS, Hypack. Strong MBES processing experience. IHO Cat A/B preferred, IMCA familiarity.

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><br></p><p>Role Overview: Drive advanced analytics, predictive modeling, and machine learning initiatives to support business and operational decisions.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><h2>Requirements:</h2><ul><li>Master s or PhD in Data Science, AI, or related field</li><li>10 13+ years in advanced analytics</li><li>Strong programming (Python, AI/ML frameworks)</li></ul><p></p></section>

Role- Data & AI project Lead Experience - 12+ years Location- Qatar required Good GCC banking experience. <br>Role Overview – Data & AI Project Lead Key Responsibilities• End-to-end ownership of project delivery, including planning, execution, governance, and closure.• Manage and engage multiple stakeholders across business units, IT teams, and external partners.• Drive project governance using Agile methodologies, including sprint planning, backlog management, and progress tracking through JIRA.• Facilitate Project Review Working Groups, ensuring timely updates, risk mitigation, and effective decision-making.• Oversee vendor coordination and ensure adherence to agreed timelines, budgets, and quality standards.• Monitor project dependencies, risks, issues, and escalations across multiple workstreams.• Ensure successful delivery of Data, Analytics, Governance, and AI-related initiatives aligned with business objectives.<br>Required Skills and Experience• Minimum 12+ years of experience managing large-scale Data and AI projects, preferably within banking or financial services.• Strong technical understanding of data platforms, analytics ecosystems, and AI-driven solutions.• Proven ability to manage complex stakeholder environments and deliver programs under tight timelines.• Hands-on expertise in Agile project management, JIRA, and collaboration tools.• Strong communication, leadership, and vendor management skills.• GCC and/or Qatar banking experience is highly desirable.<br>Evaluation Criteria Submitted profiles will be assessed based on:• Relevance and depth of Data, Analytics, and AI project experience.• Demonstrated leadership in large-scale and complex transformation programs.• Banking / financial services domain exposure, preferably within Qatar or the GCC.• Hands-on experience with Agile delivery methodologies and JIRA.• Ability to manage multiple stakeholders and vendors effectively.• Availability to support immediate project timelines.

<p>We are seeking a Senior Design Manager for our Data Center based in Doha, Qatar. In this strategic leadership role, you will oversee the design and planning of complex data center infrastructure projects, ensuring alignment with organizational objectives and industry standards. You will lead cross-functional teams, manage project portfolios, and drive innovation in data center design while maintaining the highest standards of quality and efficiency.</p><p>Lead and manage the design phase of large-scale data center projects from conception through implementation, ensuring adherence to timelines, budgets, and specifications</p><p>Develop comprehensive design strategies and project plans that align with organizational goals and stakeholder requirements</p><p>Oversee and mentor a team of design professionals, providing technical guidance, performance feedback, and professional development opportunities</p><p>Coordinate with PMC stakeholders, architects, engineers, and vendors to ensure seamless project execution and effective communication</p><p>Analyze project requirements and constraints to identify risks, develop mitigation strategies, and implement solutions proactively</p><p>Ensure compliance with industry standards, codes, and regulations</p><p>Manage design documentation, specifications, and technical drawings to maintain accuracy and consistency across all project phases</p><p>Monitor project performance metrics and KPIs, providing regular status reports and recommendations to senior leadership</p><p>Evaluate emerging technologies and design methodologies to enhance operational efficiency and project outcomes</p><p>Facilitate stakeholder meetings and presentations to communicate design concepts, progress updates, and project decisions</p><p><strong>Desired Candidate Profile</strong></p><ul><li>Minimum 10 years of professional experience in data center / mission critical / industrial design, management, or related project management roles</li><li>Minimum 5 years of experience managing the design delivery of Design &amp; Build projects from concept through construction, commissioning, and handover.</li><li>Strong knowledge of data center infrastructure systems including cooling, power distribution, and network architecture</li><li>Preferred: Experience managing data center projects in the Middle East region</li></ul>

<p>We are in need of freelancers for a simple typing job.</p><p>&nbsp;</p><p>&nbsp;</p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Mindrift is looking for highly skilled Vibecode specialists to join the Tendem project (https://tendem.<br>ai/) and drive specialized data scraping workflows for real-world use cases.<br> Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications.<br> In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, reliable, and high-quality 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 innovative technology projects.<br> Our mission is to help develop high-quality AI technologies by combining real-world expertise from professionals across the globe with advanced AI development efforts.<br> About the Role 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 tools such as Apify, OpenRouter, and other technologies, alongside your own technical expertise and 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 available tools and custom workflows to accelerate data collection, validation, and task execution while meeting defined requirement.<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> Educational qualifications 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> Academic and/or Professional Experience Candidates should have a strong technical foundation and practical experience with scripting, automation, and data extraction workflows.<br> We are looking for specialists who can solve non-trivial problems, work confidently with modern development tools and technologies, 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> Technical Skills (Essential) 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) Additional requirements 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"> <p>Location: Doha, Qatar Type: Permanent Salary: Not Specified</p> </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>

Role- Data & AI project Lead Experience - 12+ years Location- Qatar required Good GCC banking experience. <br>Role Overview – Data & AI Project Lead Key Responsibilities• End-to-end ownership of project delivery, including planning, execution, governance, and closure.• Manage and engage multiple stakeholders across business units, IT teams, and external partners.• Drive project governance using Agile methodologies, including sprint planning, backlog management, and progress tracking through JIRA.• Facilitate Project Review Working Groups, ensuring timely updates, risk mitigation, and effective decision-making.• Oversee vendor coordination and ensure adherence to agreed timelines, budgets, and quality standards.• Monitor project dependencies, risks, issues, and escalations across multiple workstreams.• Ensure successful delivery of Data, Analytics, Governance, and AI-related initiatives aligned with business objectives.<br>Required Skills and Experience• Minimum 12+ years of experience managing large-scale Data and AI projects, preferably within banking or financial services.• Strong technical understanding of data platforms, analytics ecosystems, and AI-driven solutions.• Proven ability to manage complex stakeholder environments and deliver programs under tight timelines.• Hands-on expertise in Agile project management, JIRA, and collaboration tools.• Strong communication, leadership, and vendor management skills.• GCC and/or Qatar banking experience is highly desirable.<br>Evaluation Criteria Submitted profiles will be assessed based on:• Relevance and depth of Data, Analytics, and AI project experience.• Demonstrated leadership in large-scale and complex transformation programs.• Banking / financial services domain exposure, preferably within Qatar or the GCC.• Hands-on experience with Agile delivery methodologies and JIRA.• Ability to manage multiple stakeholders and vendors effectively.• Availability to support immediate project timelines.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <br> General Information <br> <br> Ref # <br> 234525 <br> <br> Location <br> Qatar-Doha <br> <br> Job family <br> Corporate &amp; Commercial <br> <br> <ul><li><span>Closing Date:</span> <span>2026-08-03</span></li></ul><br> <br> <br> <br> <br> <br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <br> General Information <br> <br> Ref # <br> 235338 <br> <br> Location <br> Qatar-Doha <br> <br> Job family <br> Pilots &amp; Flight Operations <br> <br> <ul><li><span>Closing Date:</span> <span>2026-08-19</span></li></ul><br> <br> <br> <br> <br> <br> </div>