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Converge

<div>
 
 
 Data Engineer | Abu Dhabi, UAE
 
 
 
 
 
 
 
 What This Role Is About
 
 
 
 Our client is looking for a Data Engineer, based in Abu Dhabi, to design, build, and optimise data pipelines and infrastructure that support business intelligence and analytics initiatives.
 
 
 
 
 
 This role will focus on managing large datasets, ensuring data accuracy and availability, and enabling efficient data flow across systems.
 
 
 
 
 
 You will work closely with cross-functional teams to support data-driven decision-making and improve overall data architecture.
 
 
 
 
 
 You will also play a key role in maintaining data quality, enhancing data models, and supporting advanced analytics use cases.
 
 
 
 
 
 
 The Client&rsquo;s Definition of the Ideal Fit
 
 
 <ul>
 <li>
 7+ years of experience in data engineering or a related field.
 </li>
 <li>
 Bachelor&rsquo;s degree in Coastal Engineering, Marine Engineering, or a related discipline.
 </li>
 <li>
 Strong experience in building and managing data pipelines and data infrastructure.
 </li>
 <li>
 Proficiency in data tools, databases, and ETL processes.
 </li>
 <li>
 Strong understanding of data modelling, data warehousing, and data governance.
 </li>
 <li>
 Ability to work with cross-functional teams and support data-driven initiatives.
 </li>
 </ul>
 
 
 
 
 This is an opportunity to work on impactful data projects while leveraging domain expertise within a specialised environment in Abu Dhabi.
 
</div>

Data Engineer

Khazna Data Centers

<div>
 
 
 Khazna was founded in 2012 and has grown rapidly into becoming the leading and trusted wholesale Data Center provider in the Middle East and North Africa region. Through our Data Centers, we provide industry benchmark levels of power supply and cooling services to better serve the growing need for data center operations in the UAE and wider region.
 
 
 
 
 
 
 We are seeking a
 
 Data Engineer
 
 to join our
 
 Command &amp; Control Center &ndash; Data Analytics &amp; Reporting
 
 team, reporting to the
 
 Manager, Data &amp; BI
 
 . This centralized role is responsible for designing, developing, and maintaining scalable data pipelines that support analytics, reporting, and AI/ML initiatives for data center operations. The Data Engineer will ensure data integrity, optimize data architecture, and manage ETL (Extract, Transform, Load) processes across cloud and on-premises platforms to enable effective, data-driven decision-making.
 
 
 
 
 
 
 Key Accountabilities:
 
 
 
 
 
 <ul>
 <li>
 Support the development of scalable data warehouses, lakes and resilient data pipelines to support high-velocity data processing in a wholesale data center environment
 </li>
 <li>
 Design and implement Extract, Transform, Load (ETL) and Extract, Load, Transform (ELT) processes to clean, normalize and transform data from diverse sources, including Internet of Things (IoT) sensors, Building Management System (BMS) within data center operations
 </li>
 <li>
 Automate data ingestion, transformation and storage workflows for real-time analytics, ensuring low-latency insights for operational decision-making across data center environments
 </li>
 <li>
 Set up streaming data services to enable continuous migration of critical data center infrastructure metrics into analytics platforms for real-time monitoring
 </li>
 <li>
 Work with Integration teams, Data Warehouse engineers and Analytics teams to build highly optimized, resilient and scalable data center data processing architectures
 </li>
 <li>
 Define data sourcing strategies, tagging mechanisms and aggregation methods to ensure seamless availability of structured and unstructured data for data center analytics
 </li>
 <li>
 Collaborate with Data Scientists and Business Intelligence (BI) teams to enable AI/ML model development, predictive analytics and operational intelligence for data center operations
 </li>
 <li>
 Develop calculation methodologies for statistical computation of KPIs related to Power Usage Effectiveness (PUE), Water Usage Effectiveness (WUE), uptime and asset utilization in data centers
 </li>
 <li>
 Identify critical data points and sources that drive KPI computations and aggregate site-level metrics for centralized data center performance reporting
 </li>
 <li>
 Build reporting source files for dashboards, enabling executive leadership to monitor data center performance trends across regional and site-level operations
 </li>
 <li>
 Generate historical trend analyses, benchmarking individual data center site performance against portfolio-wide averages to drive efficiency improvements
 </li>
 <li>
 Conduct Exploratory Data Analysis (EDA) to identify patterns, anomalies and correlations that impact energy efficiency, workload distribution and infrastructure health in data centers
 </li>
 <li>
 Gather required historical and real-time data from internal platforms and external sources, ensuring comprehensive datasets for advanced analytics in data center environments
 </li>
 <li>
 Develop simulations and scenario models to analyse potential business impacts, optimize data center capacity planning and mitigate operational risks
 </li>
 <li>
 Update models and forecasting frameworks based on market trends, data center infrastructure expansion plans and internal priority shifts
 </li>
 <li>
 Research and implement cutting-edge data engineering techniques, contributing to industry-leading best practices in large-scale data center data infrastructure management
 </li>
 <li>
 Deliver data archiving, backup and disaster recovery strategies, ensuring high availability and business continuity for critical data center data assets
 </li>
 <li>
 Ensure seamless integration of data platforms with enterprise applications, enabling end-to-end visibility and automated decision-making across the data center ecosystem
 </li>
 </ul>
 
 
 
 
 
 Minimum Qualifications:
 
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or master&rsquo;s degree in computer science (or) related to Data Engineering
 </li>
 <li>
 Certifications in cloud data platforms preferred
 </li>
 <li>
 4+ years of experience in data engineering, ETL development or database management
 </li>
 <li>
 Strong proficiency in SQL, Python or Scala
 </li>
 <li>
 Experience with cloud data platforms (AWS, Azure, GCP)
 </li>
 <li>
 Hands-on experience with data pipeline tools like Apache Airflow, Kafka or Spark
 </li>
 <li>
 Understanding of data modeling, warehousing and governance principles
 </li>
 </ul>
 
 
 
 
 
 Additional skills:
 
 
 
 
 
 <ul>
 <li>
 Ability to troubleshoot complex data challenges, optimize pipeline performance and drive continuous improvements in large-scale infrastructure
 </li>
 <li>
 Strong ability to work across Data Science, Engineering, IT and Business Intelligence teams to align data solutions with business needs
 </li>
 <li>
 Expertise in translating technical data models and engineering concepts into clear insights for non-technical stakeholders
 </li>
 </ul>
 
 
 
 
 
 Training/Certifications Preferred:
 
 
 
 
 
 <ul>
 <li>
 AWS Certified Data Analytics &ndash; Specialty
 </li>
 <li>
 Google Professional Data Engineer
 </li>
 <li>
 Microsoft Certified: Azure Data Engineer Associate
 </li>
 <li>
 Apache Spark Developer Certification
 </li>
 </ul>
 
 
</div>

Inception

<div>
 Inception, a G42 company, is the region&rsquo;s leading innovator of AI-powered domain-specific as well as industry-agnostic products, built on a rich heritage of research and development. Within the G42 ecosystem, Inception functions as the core intelligence layer &ndash; transforming data and compute infrastructure into real-world, applied AI solutions. Beyond its commercial endeavors, Inception is committed to creating positive societal impact. For more information, please visit www.inceptionai.ai
 
 
 
 Overview
 
 
 
 Inception is seeking a highly skilled Lead Data Engineer to architect and build scalable, cloud-native data and AI pipelines that power enterprise LLM, RAG, and retrieval systems.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design, build, and optimize scalable data pipelines for AI/LLM workloads, including vectorization and embedding processing.
 </li>
 <li>
 Develop and maintain ETL/ELT workflows for structured, unstructured, and streaming data.
 </li>
 <li>
 Create and manage vector database indexing and similarity search pipelines using tools like FAISS, Pinecone, Weaviate, Qdrant, Chroma.
 </li>
 <li>
 Build retrieval systems for RAG, semantic search, and enterprise knowledge retrieval.
 </li>
 <li>
 Develop robust, reusable data orchestration pipelines using Airflow, Spark, or similar tools.
 </li>
 <li>
 Architect and manage data pipelines across Azure (primary), AWS, and GCP environments.
 </li>
 <li>
 Integrate and optimize storage and processing across SQL, NoSQL, and vector databases.
 </li>
 <li>
 Contribute to the design and implementation of event-driven architectures.
 </li>
 <li>
 Collaborate with AI teams to enable embedding generation, LLM integration, and model-serving pipelines.
 </li>
 <li>
 Ensure end-to-end data quality, monitoring, reliability, and observability.
 </li>
 <li>
 Lead or participate in system design for large-scale, distributed data and AI systems.
 
 
 </li>
 </ul>
 
 Required Skills
 
 
 
 
 Programming &amp; Data
 
 
 
 <ul>
 <li>
 Strong expertise in Python for data processing, APIs, automation, or distributed workloads.
 </li>
 <li>
 Strong proficiency in SQL and knowledge of NoSQL databases (MongoDB, DynamoDB, Cosmos DB, etc.).
 </li>
 <li>
 Experience with vector databases, such as: FAISS, Pinecone, Weaviate, Qdrant, Chroma.
 </li>
 <li>
 Strong knowledge of data modeling, pipeline development, and ETL/ELT frameworks.
 
 
 </li>
 </ul>
 
 AI/LLM Infrastructure
 
 
 
 <ul>
 <li>
 Solid understanding of vectorization, embeddings, and similarity search techniques.
 </li>
 <li>
 Familiarity with LLMs, embedding models, and RAG pipeline concepts.
 </li>
 <li>
 Experience integrating embedding-generation pipelines via Hugging Face, OpenAI, or other model providers.
 
 
 </li>
 </ul>
 
 Cloud &amp; Distributed Systems
 
 
 
 <ul>
 <li>
 Proficiency with Azure (primary), and familiarity with AWS and GCP.
 </li>
 <li>
 Experience with Docker and containerized development.
 </li>
 <li>
 Understanding of Kubernetes is a strong plus.
 
 
 </li>
 </ul>
 
 Orchestration &amp; Big Data
 
 
 
 <ul>
 <li>
 Expertise in Apache Airflow for scheduling and orchestration.
 </li>
 <li>
 Experience with Apache Spark or equivalent distributed processing frameworks.
 
 
 </li>
 </ul>
 
 Architecture &amp; Engineering Fundamentals
 
 
 
 <ul>
 <li>
 Strong system design fundamentals for scalable and distributed systems.
 </li>
 <li>
 Knowledge of event-driven architecture and modern data platforms.
 </li>
 <li>
 Strong understanding of DevOps, CI/CD, version control, and observability best practices.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 8+ years of progressive experience in data engineering, distributed systems, or AI/ML data infrastructure
 </li>
 <li>
 Experience building RAG pipelines in production.
 </li>
 <li>
 Knowledge of graph databases or hybrid search systems.
 </li>
 <li>
 Understanding of model deployment, inference optimization, and caching techniques for LLM workloads.
 </li>
 <li>
 Familiarity with data governance, IAM, and security patterns across cloud ecosystems
 
 
 </li>
 </ul>
 What We Look For
 
 
 If you are a performance-driven, inquisitive mind with the agility to adapt to ambiguity, you will fit right in. You should be eager to explore opportunities to build meaningful collaborations with stakeholders and aspire to create unique customer-centric solutions. Bias for action and a passion to conquer new frontiers in the AI space is at the heart of the Inception community.
 
 
 What Working At Inception Offers
 
 
 Culture: An open, diverse and inclusive environment with a global vision that encourages personal growth and focuses on ground-breaking, industry-first innovations.
 
 
 Career: Outstanding learning, development &amp; growth opportunities via structured training programs and innovative, high-tech projects.
 
 
 Rewards: A competitive remuneration package with a host of perks including healthcare, education support, leave benefits and more.
 
 
 If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.
</div>

Lead Data Engineer

Confidential

<div>
 
 
 Job Summary
 
 
 
 We are seeking a
 
 Senior / Lead Data Engineer
 
 to design, build, and scale
 
 AI-powered, cloud-native data platforms
 
 that support enterprise analytics, machine learning, and business-critical decision-making.
 
 
 The ideal candidate will bring deep expertise in
 
 data engineering, cloud data warehouses, cost optimization, and AI-assisted development
 
 , with a proven track record of delivering
 
 high-impact, revenue-generating data platforms
 
 and
 
 intelligent automation solutions
 
 at scale.
 
 
 
 Key Responsibilities
 
 
 
 
 Data Platform &amp; Pipeline Engineering
 
 
 <ul>
 <li>
 Design, develop, and maintain
 
 scalable ETL/ELT pipelines
 
 using Python, SQL, dbt, and modern orchestration tools.
 </li>
 <li>
 Build and optimize
 
 cloud-based data warehouses
 
 (BigQuery or equivalent) supporting high-volume analytical workloads.
 </li>
 <li>
 Implement
 
 robust data modeling
 
 (dimensional and analytical models) to enable self-service analytics and AI use cases.
 </li>
 <li>
 Ensure
 
 data quality, integrity, and freshness
 
 through automated validation frameworks and monitoring.
 </li>
 </ul>
 
 
 AI-Driven Automation &amp; Innovation
 
 
 <ul>
 <li>
 Design and deploy
 
 AI-powered internal tools and agents
 
 to automate data engineering workflows, incident diagnosis, and root cause analysis.
 </li>
 <li>
 Integrate AI agents with collaboration tools (e.g., Slack) to improve operational efficiency and reduce incident resolution time.
 </li>
 <li>
 Apply AI-assisted development techniques to accelerate delivery, improve code quality, and reduce manual effort across teams.
 </li>
 </ul>
 
 
 Performance &amp; Cost Optimization
 
 
 <ul>
 <li>
 Lead
 
 cloud cost optimization initiatives
 
 , including query optimization, architectural redesign, and usage monitoring.
 </li>
 <li>
 Drive measurable reductions in data platform operational costs while maintaining performance and reliability.
 </li>
 </ul>
 
 
 Cloud &amp; DevOps
 
 
 <ul>
 <li>
 Build and deploy data services using
 
 containerized and CI/CD-driven workflows
 
 .
 </li>
 <li>
 Collaborate with DevOps and platform teams to ensure scalable, secure, and reliable cloud infrastructure.
 </li>
 <li>
 Support multi-cloud or hybrid environments as required (GCP, Azure).
 </li>
 </ul>
 
 
 Leadership &amp; Collaboration
 
 
 <ul>
 <li>
 Provide
 
 technical leadership and mentorship
 
 to data engineers.
 </li>
 <li>
 Establish
 
 SOPs, best practices, and engineering standards
 
 across the data function.
 </li>
 <li>
 Partner closely with product, analytics, and business stakeholders to translate requirements into scalable data solutions.
 </li>
 </ul>
 
 
 Required Skills &amp; Qualifications
 
 
 
 
 Technical Skills
 
 
 <ul>
 <li>
 
 Programming:
 
 Python (expert), SQL (expert), Shell scripting (advanced).
 </li>
 <li>
 
 Data Engineering:
 
 dbt, ETL/ELT pipelines, data warehousing, data modeling, data quality frameworks.
 </li>
 <li>
 
 Cloud Platforms:
 
 Google Cloud Platform (BigQuery, Cloud Run) &ndash; strong experience; Azure familiarity is a plus.
 </li>
 <li>
 
 Orchestration &amp; Automation:
 
 Airflow or equivalent.
 </li>
 <li>
 
 DevOps &amp; Tooling:
 
 Git, Docker, CI/CD pipelines.
 </li>
 <li>
 
 AI &amp; ML Exposure:
 
 AI agent frameworks, ML pipelines, model lifecycle management, observability tools.
 </li>
 </ul>
 
 
 Data Management
 
 
 <ul>
 <li>
 Cost optimization and performance tuning.
 </li>
 <li>
 Data governance, cataloging, and best-practice documentation.
 </li>
 </ul>
 
 
 Education
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science or related field.
 </li>
 <li>
 Master&rsquo;s or Postgraduate qualification in Data Science is preferred.
 </li>
 </ul>
 
 
 Nice to Have
 
 
 <ul>
 <li>
 Experience delivering
 
 AI/ML pipelines
 
 in production environments.
 </li>
 <li>
 Exposure to
 
 government, public sector, or regulated enterprise data platforms
 
 .
 </li>
 <li>
 Experience building
 
 observability and monitoring tools
 
 for data platforms.
 </li>
 <li>
 Prior work on
 
 Arabic-language or regional datasets
 
 .
 </li>
 </ul>
 
 
</div>

Dizzaract FZ LLC

About DizzaractDizzaract is a UAE-based game development studio founded in 2022, headquartered at Yas Creative Hub, Abu Dhabi. We develop cutting-edge AI-powered games and systems, including our innovation R&amp;D laboratory FAR labs, the upcoming hero shooter Farcana, and the AI gaming identity platform GAMED. Our research and development team boasts over 100 peer-reviewed papers and more than 20 patents in AI-driven gameplay, digital ownership, and competitive design. With a diverse team of more than 80 professionals from over 20 countries, we are committed to innovation, excellence, and building a culture that drives performance and results.The Mission: An inference network routing millions of requests globally generates a massive, complex data exhaust. You will build the data plane that fuels our routing intelligence, telemetry, and distributed memory systems. To beat OpenRouter, our network needs to route requests intelligently based on real-time hardware metrics and cost analysis without adding latency.What You Will Do:<ul><li>High-Throughput Telemetry: Design pipelines to ingest, process, and analyze millions of telemetry events per second (GPU utilization, TTFT, inter-token latency) from distributed nodes.</li><li>Distributed KV-Cache Architecture: Architect the data layer for distributed KV-cache storage and retrieval, allowing the network to context-switch efficiently across different compute nodes.</li><li>Intelligent Routing State: Build the real-time data stores that power our routing layer, ensuring the network always knows the exact state, cost, and availability of every node globally.</li><li>Ledger &amp; Analytics: Develop the backend pipelines for billing, rate-limiting, and auditing, ensuring airtight data consistency for high-frequency micro-transactions.</li><li>Data Packaging: Ensure all data infrastructure deployments are containerized, immutable, and require zero manual configuration upon deployment.</li></ul>What We Are Looking For:<ul><li>Expertise in high-throughput messaging and streaming systems (e.g., Redpanda, Kafka) and real-time OLAP databases (e.g., ClickHouse).</li><li>Strong proficiency in backend languages (Rust, Go, or Python) with a focus on high concurrency and low latency.</li><li>Experience with vector databases and managing massive, distributed state.</li><li>A strong grasp of distributed consensus algorithms and data replication across decentralized environments.</li></ul>Work Location: In person

AI Inference Data Engineer

KPMG Lower Gulf

<div>
 
 Job Description
 
 
 
 
 Role:
 
 Senior Associate/ Consultant
 
 
 
 Industry Focus:
 
 Energy and Natural Resources, Manufacturing &amp; Utilities
 
 
 
 Job Purpose:
 
 Contributing to Risk &ndash; based Internal Audit, Corporate Governance, Internal Control Review, Policies and Procedures, Risk Management and Enterprise Risk Management.
 
 
 
 Job Type:
 
 Full Time
 
 
 
 Location:
 
 Abu Dhabi, UAE
 
 
 
 About us:
 
 We are one of the leading Big 4 firms and are seeking a dynamic and experienced Senior Associate/ Consultant to join our Advisory &ndash; Governance, Risk and Compliance team. As a global leader in professional services, we provide unrivaled opportunities for personal and professional development.
 
 
 
 Responsibilities
 
 (will vary across projects and will include but not limited to):
 
 
 <ul>
 <li>
 Conduct comprehensive risk assessments and analyses for clients in the above-mentioned industry.
 </li>
 <li>
 Develop and implement risk management strategies tailored to meet the specific needs of clients.
 </li>
 <li>
 Provide advisory services on regulatory compliance, governance, and internal controls within the above-mentioned sector.
 </li>
 <li>
 Collaborate with cross-functional teams to deliver high-quality solutions and insights to clients.
 </li>
 <li>
 Conduct market research to stay abreast of industry trends and best practices in risk management.
 </li>
 <li>
 Assist in the preparation of client presentations and reports, communicating complex risk concepts in a clear and concise manner.
 </li>
 <li>
 Engage with clients to understand their business objectives and tailor consulting services to address their unique challenges. Able to conduct internal audit and ISO based audits covering different technical areas.
 </li>
 <li>
 Be able to demonstrate ability to manage multiple projects, strong leadership, analytical and problem-solving skills.
 </li>
 <li>
 Be comfortable working with databases and all applications of Microsoft suite.
 </li>
 <li>
 Willing to travel on client engagements and work flexible hours.
 </li>
 <li>
 Ability to work on proposals and support leadership for business development
 
 
 </li>
 </ul>
 
 Education And Qualifications
 
 
 
 <ul>
 <li>
 Education Background: Engineer + master&rsquo;s with relevant certifications &ndash; preferably Electrical / Chemical/Mechanical/ Petroleum Engineer.
 </li>
 <li>
 Minimum 4+ years of experience in Consulting, preferably Big 4 with good understanding of above-mentioned industry.
 </li>
 <li>
 Great presentation and data analytics skills (MS PowerPoint, Word, Excel)
 </li>
 <li>
 Good understanding of Technical areas such as Operations, Maintenance, HSE, Asset management, Risk Management, Policies, Procedures, Strategy, Market Research, ISO Standards etc.
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Competitive salary
 </li>
 <li>
 Comprehensive health and wellness benefits
 </li>
 <li>
 Professional development opportunities
 </li>
 <li>
 Collaborative and inclusive work environment
 
 
 </li>
 </ul>
 If you are a motivated professional with a passion for delivering exceptional client service and contributing to the success of our dynamic team, we invite you to apply for this exciting opportunity.
</div>

Senior Associate/Consultant in Technical Advisory - ERS (GRC - ENR)

Weatherford

<div>
 
 Job Description
 
 
 
 
 Launch Your Career as a Field Engineer with Weatherford
 
 
 
 Are you ready to kick-start your engineering career in a hands-on, high-impact role? At Weatherford, our Field Engineers are the essential connection between our cutting-edge technologies and the real-world challenges faced in oil and gas rigs.
 
 
 This is more than just a job &mdash; it&rsquo;s an adventure. You&rsquo;ll be working in the field, often at remote rig sites, where you&rsquo;ll gain unmatched experience and responsibility from day one. Whether it&rsquo;s assembling equipment, analysing data, or solving problems on the fly, you&rsquo;ll be at the heart of operations that matter.
 
 
 
 Your Development Journey
 
 
 
 You&rsquo;ll be enrolled in our 4-year Field Engineer Technical Development Program, which blends classroom learning with real-world experience:
 
 
 <ul>
 <li>
 Year 1: Work with guidance and take part in hands-on training at one of our global centers. Travel may be needed to gain real-world experience
 </li>
 <li>
 Year 2: Take on more responsibility at the wellsite while continuing to grow your technical skills through hands-on and classroom training
 </li>
 <li>
 Years 3 &amp; 4: Expanding your knowledge and skills, and may lead teams at the wellsite while serving as the main contact for our clients
 
 
 </li>
 </ul>
 
 Your Day-to-day Could Include
 
 
 
 <ul>
 <li>
 Prepare, deploy, and operate advanced downhole tools to meet specific wellsite objectives
 </li>
 <li>
 Utilize cutting-edge simulation software to design and optimize wellsite solutions tailored to client needs
 </li>
 <li>
 Analyse performance data and recommend improvements
 </li>
 <li>
 Manageequipment logistics and ensure seamless setup and operation at the rig site
 </li>
 <li>
 Create detailed post-job reports and share actionable insights with clients and internal teams
 </li>
 <li>
 Champion a culture of continuous improvement with a strong focus on safety, quality, and performance
 </li>
 <li>
 Deliver front-line engineering support to our customers throughout operations, resolving issues independently
 
 
 </li>
 </ul>
 
 What We&rsquo;re Looking For
 
 
 
 <ul>
 <li>
 Graduated with bachelor&rsquo;s degree in engineering (all fields) within the last 24 months
 </li>
 <li>
 No more than 1 year of experience
 </li>
 <li>
 English language fluent proficiency (written and spoken)
 </li>
 <li>
 Strong communication and interpersonal skills
 </li>
 <li>
 Ability to analyse complex problems, apply critical thinking, and make informed decisions
 </li>
 <li>
 A passion for hands-on work and learning in dynamic environments(onshore and offshore)
 
 
 </li>
 </ul>
 
 What To Expect
 
 
 
 This role is physically and mentally demanding. You&rsquo;ll work 12-hour shifts (day or night), often in tough weather conditions. You may be away from home for extended periods, including weekends and holidays. But if you&rsquo;re up for the challenge, the rewards are big.
 
 
 You&rsquo;ll join one of our specialized product lines, such as:
 
 
 <ul>
 <li>
 Completions
 </li>
 <li>
 Drilling Services
 </li>
 <li>
 Wireline Services
 </li>
 <li>
 Artificial Lift
 </li>
 <li>
 Well Services
 </li>
 <li>
 Managed Pressure Drilling&hellip;and many more
 
 
 </li>
 </ul>
 
 Why Join Us?
 
 
 
 <ul>
 <li>
 Fast-track your career with structured development and mentorship
 </li>
 <li>
 Work with cutting-edge technology in real-world settings
 </li>
 <li>
 Travel, learn, and grow with a global leader in energy services
 </li>
 <li>
 Open doors to future roles in operations, product management, sales, and more
 
 
 </li>
 </ul>
 Ready to engineer your future? Apply now and start your journey with Weatherford
</div>

Field Engineer - NextGen Graduate Program UAE

Explore 692+ Big data engineer in Abu Dhabi this April. Find roles across top companies and apply now to boost your career.

692 big data engineer jobs In Abu Dhabi

Data Engineer

Data Engineer

Lead Data Engineer

Data Engineer

AI Inference Data Engineer

Senior Associate/Consultant in Technical Advisory - ERS (GRC - ENR)

Field Engineer - NextGen Graduate Program UAE