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technical engineer

data engineer

STELLAR SPARK HR CONSULTANCY

We are hiring a Data Engineer for one of our esteemed clients in the IT / Digital Transformation space. This role is ideal for a seasoned data professional who can design, build, and optimize scalable data platforms on Microsoft Azure.Role overview<ul><li>Position: Data Engineer (Senior Level)</li><li>Experience: 7&ndash;10 years in Data Engineering</li><li>Location: UAE (Relocation support may be considered, as per client policy)</li><li>Employment: Full-time, long-term opportunity.</li></ul>Key responsibilities<ul><li>Design and implement robust, scalable data pipelines and ETL processes on Azure.</li><li>Build and optimize solutions using Azure Databricks, PySpark, Azure Data Factory, and Azure Data Lake.</li><li>Collaborate with cross-functional teams (data science, BI, product, and business stakeholders) to translate requirements into high-quality data solutions.</li></ul>Required skills and experience<ul><li>7&ndash;10 years of proven experience in Data Engineering.</li><li>Strong hands-on expertise in Azure Databricks and PySpark.</li><li>Solid experience with Azure Data Factory and Azure Data Lake.</li><li>Strong ETL / data pipeline development background and performance optimization skills.</li><li>Ability to work in a fast-paced, collaborative environment and deliver high-impact data solutions.</li></ul>Job Types: Full-time, PermanentPay: From AED12,000.00 per month

Data Engineer

ClearPeaks

<div>
 
 ClearPeaks is a specialist consulting firm delivering services and solutions in "Everything Data" - Business Intelligence, Advanced Analytics, Big Data &amp; Cloud, and Web &amp; Mobile Applications. Founded in 2000, we have been a trusted partner to our customers in over 15 industry verticals and functional areas, with operations spanning Europe, Middle East, the United States, and Africa.
 
 
 
 
 
 ClearPeaks is part of a strategic alliance with synvert, a group of six successful full-service Data &amp; Analytics (D&amp;A) consulting firms, with a clear goal to become one of EMEA's largest D&amp;A consulting companies.
 
 
 
 
 
 Our services are based on the latest market-leading enterprise technology platforms, and delivered by a dynamic team of expert consultants. Our strength lies in our ability to efficiently deliver customer insight and value, gained through our decades of experience with real-world challenges.
 
 
 
 
 
 As a
 
 Data Engineer
 
 , you will be responsible securely transfer the data between different network domains and environments. Besides that, you will be improving the performance and enhancing the structure of the data pipelines and data models.
 
 
 
 
 
 At ClearPeaks, there are endless opportunities to get involved in different projects bringing innovative ideas while being part of leading-edge teams who are always innovating and evolving in the Data Management field.
 
 
 
 
 
 
 Responsibilities
 
 
 
 
 
 <ul>
 <li>
 Participate in requirements clarification and sprint planning sessions.
 </li>
 <li>
 Design technical solutions and implement them, including ETL Pipelines &ndash; Build robust data pipelines in PySpark to extract and transform.
 </li>
 <li>
 Optimize ETL Processes &ndash; Enhance and tune existing ETL processes for better performance, scalability, and reliability.
 </li>
 <li>
 Writing unit and integration tests.
 </li>
 <li>
 Support QA teammates in the acceptance process.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Requirements
 
 
 
 
 
 <ul>
 <li>
 A degree in Statistics, Computer Science or Telecommunication Engineering, Informatics or related degree.
 </li>
 <li>
 Proficiency in PySpark for distributed computing and Python for ETL development.
 </li>
 <li>
 Strong expertise in writing and optimizing complex SQL queries, preferably with experience in databases such as PostgreSQL, MySQL, Oracle, or Snowflake.
 </li>
 <li>
 Experience working with data warehousing concepts and platforms, ideally Databricks.
 </li>
 <li>
 Familiarity with ETL tools &amp; processes.
 </li>
 <li>
 Experience with dimensional modelling, normalization/denormalization, and schema design.
 </li>
 <li>
 Proficiency with version control tools like Git to manage codebases and collaborate on development.
 </li>
 <li>
 Familiarity with monitoring tools (e.g., Prometheus, Grafana, or custom monitoring scripts) to track pipeline performance.
 </li>
 <li>
 Experience implementing data validation, cleansing, and quality frameworks, ideally Monte Carlo.
 </li>
 <li>
 Comfort in working within an Agile team, including sprint planning, stand-ups, and retrospectives.
 </li>
 <li>
 Ability to work in a team environment with tools like Azure Dev Ops, Jira and/or Confluence.
 </li>
 <li>
 Strong debugging and problem-solving skills to troubleshoot complex data engineering issues.
 </li>
 </ul>
 
 
 
 
 
 Our offer to you!
 
 
 
 
 
 <ul>
 <li>
 Work with leading edge technologies that will enable you to accelerate your career development.
 </li>
 <li>
 Enjoy an excellent work environment where people love what they do.
 </li>
 <li>
 Be part of an international and ambitious team whilst having fun.
 </li>
 </ul>
</div>

Ceenex Global LLC

We are Hiring !!!Senior Data EngineerExperience - 6 + yearsSalary - 13000 to 17000 +BenefitsLocation - DubaiJob Description:As a Senior Data Engineer, you will be responsible for designing, developing, and maintaining robust ETL pipelines, transforming raw data into actionable insights. You will work closely with stakeholders to facilitate data integration and ensure data quality across platforms. The ideal candidate will have a strong technical background and a passion for data engineering.Key Responsibilities:<ul><li>Design and implement ETL pipelines using Data Bricks and Azure Data Factory.</li><li>Manage and optimize data storage solutions with SQL Server.</li><li>Collaborate with cross-functional teams to gather data requirements and implement data solutions that support broader business objectives.</li><li>Develop and maintain scalable data architectures and workflows.</li><li>Utilize DevOps practices to automate data operations and enhance deployment processes.</li><li>Write and optimize Python scripts for data processing and analysis.</li><li>Monitor and troubleshoot data pipelines to ensure data accuracy and availability.</li><li>Stay current with industry trends and technologies to continuously enhance data engineering practices.</li></ul>Qualifications:<ul><li>Bachelor&rsquo;s degree in Computer Science, Information Technology, or a related field.</li><li>6+ years of experience in data engineering or a similar role.</li><li>Strong proficiency in Data Bricks and SQL Server.</li><li>Hands-on experience with Azure Data Factory for data integration and transformation.</li><li>Demonstrated experience in developing and maintaining ETL pipelines.</li><li>Familiarity with DevOps practices and tools.</li><li>Proficient in Python scripting for data manipulation and analysis.</li><li>Excellent problem-solving skills and attention to detail.</li><li>Strong communication and collaboration skills.</li></ul>Solid hands-on experience with the following technologies:<ul><li>Data Bricks</li><li>SQL Server</li><li>Azure Data Factory</li><li>ETL pipeline development and management</li><li>DevOps practices and tools</li></ul>APPLY AS SOON AS POSSIBLE!Job Type: Full-timePay: AED15,000.00 - AED17,000.00 per month

Senior Data Engineer

GlobalXperts Technology

Job Title: Data Engineer (Pyspark &amp; Databricks)Location: UAE (Onsite)Experience : 4+ yearsNotice Period : Immediate Joiners preferredRole SummaryResponsible for building scalable data pipelines, ensuring data quality and governance, and delivering reliable Power BI analytics solutions to support business decision-making.Key Responsibilities<ul><li>Design, build, and maintain ETL/ELT pipelines for enterprise analytics.</li><li>Develop and enforce data quality, validation, and cleansing processes.</li><li>Build and manage data lakes and warehouses using Azure Data Factory, Databricks, Synapse, or similar tools.</li><li>Monitor data integrity, troubleshoot issues, and maintain metadata and data lineage.</li><li>Integrate data from multiple sources (ERP, CRM, APIs, IoT).</li><li>Ensure compliance with data protection and security standards (GDPR, ISO 27001, DPL).</li><li>Design, develop, and optimize Power BI dashboards, reports, and data models using DAX.</li><li>Implement row-level security, automate refresh schedules, and tune report performance.</li><li>Collaborate with business stakeholders to translate requirements into BI solutions.</li><li>Maintain technical documentation and stay updated on Power BI best practices.</li></ul>Skills &amp; Qualifications<ul><li>Experience in data engineering, ETL/ELT, and cloud data platforms.</li><li>Strong hands-on expertise in Databricks , Pyspark, Power BI, DAX, and data modeling.</li><li>Proficiency with Azure data services and SQL.</li><li>Knowledge of data governance, quality frameworks, and security controls.</li><li>Strong analytical and communication skills.</li></ul>Job Type: Full-timePay: AED8,000.00 - AED12,000.00 per monthApplication Question(s):<ul><li>Current Salary ?</li><li>Expected Salary ?</li><li>In how many days you can join us if shortlisted?</li><li>How many years of experience do you have in ETL design , Buil and mainatainence ?</li><li>This is an Onsite role for our client based in UAE , are you ok to work from UAE office (Abu Dhabi) ?</li><li>Have you gone through the JD and ok to perform all the responsibilties mentioned?</li><li>Please rate your English communication skills out of 10 (1 is lowest and 10 is highest)?</li><li>Please list your technical skills which makes you a fit for this role ?</li><li>This role requires day to day coding work (Pyspark &amp; SQL) , let us know your experience with Pyspark and SQL?</li><li>How many years of experience you have is Databricks (must have skill) ?</li><li>How many years of experience you have is Pyspark (must have skill)?</li></ul>

Data Engineer (Pyspark & Databricks)

Acenet consulting

<div><div>Experience: 5 to 10 years
 
Location: Abu Dhabi
 
Job code: 101407
 
Posted on: Jan 16, 2026 
</div> 
About Us: 
AceNet Consulting is a fast-growing global business and technology consulting firm leveraging a consultative approach, deep domain expertise and strong technology capabilities across business transformation, IT strategy &amp; architecture, digital transformation, data engineering &amp; analytics, AI/ML, cloud &amp; infrastructure, enterprise applications and emerging technologies to deliver value to our global clients. AceNet&rsquo;s marquee clients include Tier-1 and Tier-2 banking &amp; financial services, asset &amp; wealth management, healthcare, consumer retail, eCommerce &amp; logistics, engineering, government &amp; public sectors, consulting and technology firms. With presence across Abu Dhabi UAE, Texas USA and India (Bangalore, Gurgaon &amp; Pune), AceNet brings strong consulting and delivery capabilities across project staffing, managed services, outsourcing and offshoring.
Job Summary: 
we are currently looking for Data Engineer profiles with Microsoft Purview experience. The role focuses on building and maintaining scalable data pipelines while ensuring robust data governance, cataloguing, and compliance across enterprise data platforms.
<div>Key Responsibilities: 
<ul><li>Design, develop, and maintain scalable data pipelines and ETL/ELT processes to ingest, process, and transform large volumes of structured and unstructured data.</li><li>Implement and manage data governance, data cataloguing, and metadata management using Microsoft Purview.</li><li>Collaborate with data architects, data scientists, and business stakeholders to understand data requirements and deliver effective data solutions.</li><li>Monitor data quality and ensure data integrity throughout the data lifecycle.</li><li>Develop automation and orchestration of data workflows using tools like Azure Data Factory, Databricks, or equivalent.</li><li>Assist in defining data security policies and ensure compliance with regulatory standards using Purview&rsquo;s data classification and access control features.</li><li>Troubleshoot and optimize data systems for performance and scalability.</li><li>Document data engineering processes, data lineage, and metadata to support transparency and audit requirements.</li><li>Stay up to date with industry trends, best practices, and emerging technologies in data engineering and governance.</li></ul></div>
<div>Role Requirements and Qualifications: 
<ul><li>Bachelor&rsquo;s degree in computer science, Information Technology, or a related field.</li><li>Proven experience as a Data Engineer or similar role.</li><li>Hands-on experience with Microsoft Purview for data governance, cataloguing, and classification.</li><li>Strong proficiency in SQL and experience with cloud-based data platforms, preferably Microsoft Azure.</li><li>Experience with ETL/ELT tools such as Azure Data Factory, Databricks, or Apache Spark.</li><li>Knowledge of data modelling, data warehousing concepts, and big data technologies.</li><li>Familiarity with scripting languages such as Python, PowerShell, or similar.</li><li>Understanding of data security, privacy regulations, and compliance requirements.</li><li>Strong analytical and problem-solving skills.</li><li>Excellent communication and collaboration abilities.</li></ul></div>
<div>Preferred Qualifications: 
<ul><li>Microsoft Azure certifications (e.g., Azure Data Engineer Associate).</li><li>Experience with other data governance tools.</li><li>Knowledge of DevOps practices for data pipelines.</li><li>Familiarity with machine learning and AI concepts.</li></ul></div>
<div>Why Join Us: 
<ul><li>Opportunities to work on transformative projects, cutting-edge technology and innovative solutions with leading global firms across industry sectors.</li><li>Continuous investment in employee growth and professional development with a strong focus on up &amp; re-skilling.</li><li>Competitive compensation &amp; benefits, ESOPs and international assignments.</li><li>Supportive environment with healthy work-life balance and a focus on employee well-being.</li><li>Open culture that values diverse perspectives, encourages transparent communication and rewards contributions.</li></ul></div>
How to Apply: 
If you are interested in joining our team and meet the qualifications listed above, please apply and submit your resume highlighting why you are the ideal candidate for this position.</div>

Data Engineer - Microsoft Purview

Printec Technologies LLC

We are looking for structured cabling technician will be responsible for installing, maintaining, and troubleshooting structured cabling systems, ensuring efficient communication infrastructure in various environments.Key ResponsibilitiesInstallation: Install various types of cabling, including Cat5e, Cat6, through walls, ceilings, and floors.Maintenance: Perform regular inspections and maintenance of cabling systems to ensure ongoing reliability and performance.Troubleshooting: Diagnose and resolve issues related to connectivity, signal loss, and other network problems.Documentation: Maintain detailed records of installations, test results, and any issues encountered and resolved.Collaboration: Work with architects, engineers, and IT staff to design and implement cabling systems that meet organizational needsTechnical Skills: Familiarity with different types of network cabling and structured cabling systems, as well as the ability to read blueprints and technical diagrams.Experience: Relevant experience in telecommunications or network cabling is beneficial. On-the-job training is common, often under the supervision of a senior technician.Soft Skills: Strong mechanical aptitude, critical thinking, and customer service skills are essential for success in this roleJob Type: Full-timePay: AED1,500.00 - AED2,000.00 per month

Data Cabling Engineer

High 5 Games

<div>We are looking for a Machine Leaning Engineer (MLE) to design, build, and optimize our machine learning operations. You will play a crucial role in scaling AI models from research to production, ensuring smooth model deployment, monitoring, and lifecycle management across our Google Cloud Platform (GCP) infrastructure. You'll work closely with data scientists, ML Ops, and data engineers to automate workflows, improve model performance, and ensure reliability for our AI that serves millions of players worldwide. 
What You'll Do
<ul>
<li>Design, develop, and deploy machine learning models and solutions, leveraging tools such as LangGraph and MLflow for orchestration and lifecycle management.</li>
<li>Collaborate on building and maintaining scalable data and feature pipeline infrastructure for real-time and batch processing using tools like BigQuery, BigTable, Dataflow, Composer(Airflow), PubSub, and Cloud Run to support ML model training and inference.</li>
<li>Develop and implement robust strategies for model monitoring and observability to detect model drift, bias, and performance degradation, leveraging tools like Vertex AI Model Monitoring and custom dashboards.</li>
<li>Optimize ML model inference performance to improve latency and cost-efficiency of AI applications.</li>
<li>Ensure the overall reliability, performance, and scalability of the ML models and data infrastructure platform, including proactive identification and resolution of issues related to model performance and data quality.</li>
<li>Troubleshoot and resolve complex issues impacting ML models, data pipelines, and production AI systems.</li>
<li>Ensure AI/ML models and workflows meet data governance, security, and compliance requirements, specifically for real-money gaming.</li>
<li>
</li></ul>What We're Looking For
<ul>
<li>1+ years of experience as an ML Engineer, with a focus on developing and deploying machine learning models in production environments.</li>
<li>Strong experience in Google Cloud Platform (GCP), including services relevant to ML and data infrastructure such as BigQuery, Dataflow, Vertex AI, Cloud Run, and Pub/Sub and Composer (Airflow).</li>
<li>Solid grasp of containerization (Docker, Kubernetes) and experience with Kubernetes orchestration platforms like GKE for deploying ML services.</li>
<li>Experience building and deploying scalable data pipelines and machine learning models in production environments.</li>
<li>Understanding of model monitoring, logging, and observability best practices for ML models and applications.</li>
<li>Experience in Python and ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn).</li>
<li>Familiarity with AI orchestration concepts using tools like LangGraph or LangChain is a bonus.</li>
<li>Bonus experience includes working in gaming, real-time fraud</li></ul></div>

Machine Leaning Engineer with an Agentic focus

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2945 data engineer jobs IN Abu Dhabi Rehab Center Jobs In Charge Jobs In Charge Jobs In Dubai Jobs In Dubai Jobs In Ajman

Data Engineer

Data Engineer

Senior Data Engineer

Data Engineer (Pyspark & Databricks)

Data Engineer - Microsoft Purview

Data Cabling Engineer

Machine Leaning Engineer with an Agentic focus