planning engineer

data engineer

project engineer

material engineer

associate engineer

database engineer

Acenet consulting

<div><div><b>Experience:</b> 5 to 10 years
<br>
<b>Location:</b> Abu Dhabi
<br>
<b>Job code:</b> 101376
<br>
<b>Posted on:</b> Nov 27, 2025<br>
</div><br>
<p>About Us:
<br>
AceNet Consulting is a fast-growing global business and technology consulting firm specializing in business strategy, digital transformation, technology consulting, product development, start-up advisory and fund-raising services to our global clients across banking &amp; financial services, healthcare, supply chain &amp; logistics, consumer retail, manufacturing, eGovernance and other industry sectors. We are looking for hungry, highly skilled and motivated individuals to join our dynamic team. If you&rsquo;re passionate about technology and thrive in a fast-paced environment, we want to hear from you.
</p><p>Job Summary:
<br>
Looking for a NoSQL Engineer responsible for designing, implementing, and optimizing scalable NoSQL database solutions.
</p><div>Key Responsibilities:
<br>
<ul><li>Design and implement NoSQL data models for high-volume applications.
</li><li>Develop and manage integrations between applications and NoSQL stores.
</li><li>Monitor database performance, security, and clustering.
</li><li>Support migration from SQL to NoSQL or hybrid solutions.
</li></ul></div><div>Role Requirements and Qualifications:
<br>
*Hands-on experience in one or more NoSQL DBs (MongoDB, Cassandra, *DynamoDB, Couchbase, Redis).
<br>
<ul><li>Strong experience in data modeling and indexing.
</li><li>Knowledge of distributed systems and replication mechanisms.
</li><li>Understanding of API and microservices integrations.
</li></ul></div><div>Why Join Us:
<br>
<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><p>How to Apply:
<br>
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.</p></div>

NoSQL Database Engineer

Birbal AI

A technology company in Abu Dhabi is seeking a Senior SQL Database Administrator to manage and maintain various databases. The role requires expertise in SQL Server, Oracle, MySQL, and PostgreSQL. Responsibilities include optimizing database performance, implementing security measures, and ensuring data integrity. Candidates should have experience with backup and recovery procedures and be capable of collaborating with development and DevOps teams. This is a full-time, on-site position.

Senior DB Admin: HA, Security & Analytics (Abu Dhabi)

DICETEK LLC

<div><p>Key Responsibilities:
</p><ul><li>Analyze and interpret large datasets to generate actionable insights for business stakeholders.</li><li>
Design, develop and maintain conceptual and physical data model for both on-premise and cloud database environments.</li><li>
Collaborate with Data Engineers, Architects and Business analysts to ensure proper implementation of data models in data warehouses, lakes, or marts.</li><li>
Map business requirements to data sources and identify data gaps or redundancies.</li><li>
Perform data profiling, validation and quality assessments.</li><li>
Support ETL/ELT processes and integration of multiple data sources</li><li>
Document data definitions, lineage and metadata to ensure consistencies and governance.</li></ul><p>
</p><p>Required Skills and Qualifications:</p><ul><li>
5+ years of experience in data analysis and data modeling.</li><li>
Strong proficiency in SQL for querying, profiling and validation.</li><li>
Hands-on experience with data modeling tools and exposure to on-premise databases and Cloud databases.</li><li>
Familiarity with ETL/ELT processes, data pipelines and cloud data platforms.</li><li>
Strong analytical, problem solving and communication skills.</li></ul><p>
</p><p>Nice-to-have:</p><ul><li>
Knowledge of data governance, cataloging or lineage tools.</li><li>
Experience in cloud data migration or hybrid data environments.</li><li>
Understanding of business domain data models.</li></ul></div><p></p>

Data Engineer

Deeplight

<div><p>DeepLight AI is a specialist AI and data consultancy with extensive experience implementing intelligent enterprise systems across multiple industries, with particular depth in financial services and banking. Our team combines deep expertise in data science, statistical modeling, AI/ML technologies, workflow automation, and systems integration with a practical understanding of complex business operations.</p><p></p><p>
The Data Engineer is responsible for designing, implementing, and optimising data pipelines and infrastructure to support our cutting-edge AI systems. The Data Engineer collaborates closely with our multidisciplinary team to ensure the efficient collection, storage, processing, and analysis of large-scale data, enabling us to unlock valuable insights and drive innovation across various domains.</p><p></p><p><b>
Responsibilities of the role:</b></p><br>
<ul><li>
Design, build, and optimise scalable data solutions, primarily utilising the Lakehouse architecture to unify data warehousing and data lake capabilities. Advise stakeholders on the strategic choice between Data Warehouse, Data Lake, and Lakehouse architectures based on specific business needs, cost, and latency requirements.</li><li>
Design, develop, and maintain scalable and reliable data pipelines to ingest, transform, and load diverse datasets from various sources, including structured and unstructured data, streaming data, and real-time feeds.</li><li>
Implement standards and tooling to ensure ACID properties, schema evolution, and high data quality within the Lakehouse environment. Implement robust data governance frameworks (security, privacy, integrity, compliance, auditing).</li><li>
Continuously optimize data storage, compute resources, and query performance across the data platform to reduce costs and improve latency for both BI and ML workloads, leveraging techniques such as indexing, partitioning, and parallel processing.</li><li>
Develop and maintain CI/CD pipelines to automate the entire machine learning lifecycle, from data validation and model training to deployment and infrastructure provisioning.</li><li>
Deploy, manage, and scale machine learning models into production environments, utilizing MLOps principles for reliable and repeatable operations.</li><li>
Establish and manage monitoring systems to track model performance metrics, detect data drift (changes in input data), and model decay (degradation in prediction accuracy).</li><li>
Ensure rigorous version control and tracking for all components: code, datasets, and trained model artifacts (using tools like MLflow or similar).</li><li>
Create comprehensive documentation, including technical specifications, data flow diagrams, and operational procedures, to facilitate understanding, collaboration, and knowledge sharing.</li></ul><p><b>
Requirements</b></p><ul>
<li>
 Proven practical experience in designing, building, and optimising solutions using Data Lakehouse architectures (e.g., Databricks, Delta Lake).
</li><li>Strong hands-on experience with managing data ingestion, schema enforcement, ACID properties, and utilizing big data technologies/frameworks like Spark and Kafka.</li>
<li>Expertise in data modeling, ETL/ELT processes, and data warehousing concepts. Proficiency in SQL and scripting languages (e.g., Python, Scala).</li>
<li>Demonstrated practical experience implementing MLOps pipelines for production systems. This includes a solid understanding and implementation experience with MLOps principles: automation, governance, and monitoring of ML models throughout the entire lifecycle.</li>
<li>Experience with CI/CD tools, containerization/orchestration technologies (e.g., Docker, Kubernetes), model serving frameworks (e.g., TensorFlow Serving, Sagemaker), and experiment tracking (e.g., MLflow).</li>
<li>Experience with production monitoring tools to detect data drift or model decay.</li>
<li>Strong hands-on experience with major cloud platforms (e.g., AWS, Azure, GCP) and familiarity with DevOps practices.</li>
<li>Excellent analytical, problem-solving, and communication skills, with the ability to translate complex technical concepts into clear and actionable insights.</li>
<li>Proven ability to work effectively in a fast-paced, collaborative environment, with a passion for innovation and continuous learning</li>
</ul><p><b>
Benefits</b></p><p><b>
Benefits &amp; Growth Opportunities:</b></p><ul><li>Competitive salary and performance bonuses</li><li>Comprehensive health insurance</li><li>Professional development and certification support</li><li>Opportunity to work on cutting-edge AI projects</li><li>Flexible working arrangements</li><li>Career advancement opportunities in a rapidly growing AI company</li></ul><p></p><p>
This position offers a unique opportunity to shape the future of AI implementation while working with a talented team of professionals at the forefront of technological innovation. The successful candidate will play a crucial role in driving our company's success in delivering transformative AI solutions to our clients.</p></div>

Deeplight AI

<div>
 DeepLight AI is a specialist AI and data consultancy with extensive experience implementing intelligent enterprise systems across multiple industries, with particular depth in financial services and banking. Our team combines deep expertise in data science, statistical modeling, AI/ML technologies, workflow automation, and systems integration with a practical understanding of complex business operations.
 <br/>
 <br/>
 The Data Engineer is responsible for designing, implementing, and optimising data pipelines and infrastructure to support our cutting-edge AI systems. The Data Engineer collaborates closely with our multidisciplinary team to ensure the efficient collection, storage, processing, and analysis of large-scale data, enabling us to unlock valuable insights and drive innovation across various domains.
 <br/>
 <br/>
 <strong>
  Responsibilities of the role:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design, build, and optimise scalable data solutions, primarily utilising the Lakehouse architecture to unify data warehousing and data lake capabilities. Advise stakeholders on the strategic choice between Data Warehouse, Data Lake, and Lakehouse architectures based on specific business needs, cost, and latency requirements.
  </li>
  <li>
   Design, develop, and maintain scalable and reliable data pipelines to ingest, transform, and load diverse datasets from various sources, including structured and unstructured data, streaming data, and real-time feeds.
  </li>
  <li>
   Implement standards and tooling to ensure ACID properties, schema evolution, and high data quality within the Lakehouse environment. Implement robust data governance frameworks (security, privacy, integrity, compliance, auditing).
  </li>
  <li>
   Continuously optimize data storage, compute resources, and query performance across the data platform to reduce costs and improve latency for both BI and ML workloads, leveraging techniques such as indexing, partitioning, and parallel processing.
  </li>
  <li>
   Develop and maintain CI/CD pipelines to automate the entire machine learning lifecycle, from data validation and model training to deployment and infrastructure provisioning.
  </li>
  <li>
   Deploy, manage, and scale machine learning models into production environments, utilizing MLOps principles for reliable and repeatable operations.
  </li>
  <li>
   Establish and manage monitoring systems to track model performance metrics, detect data drift (changes in input data), and model decay (degradation in prediction accuracy).
  </li>
  <li>
   Ensure rigorous version control and tracking for all components: code, datasets, and trained model artifacts (using tools like MLflow or similar).
  </li>
  <li>
   Create comprehensive documentation, including technical specifications, data flow diagrams, and operational procedures, to facilitate understanding, collaboration, and knowledge sharing
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Proven practical experience in designing, building, and optimising solutions using Data Lakehouse architectures (e.g., Databricks, Delta Lake).
  </li>
  <li>
   Strong hands-on experience with managing data ingestion, schema enforcement, ACID properties, and utilizing big data technologies/frameworks like Spark and Kafka.
  </li>
  <li>
   Expertise in data modeling, ETL/ELT processes, and data warehousing concepts. Proficiency in SQL and scripting languages (e.g., Python, Scala).
  </li>
  <li>
   Demonstrated practical experience implementing MLOps pipelines for production systems. This includes a solid understanding and implementation experience with MLOps principles: automation, governance, and monitoring of ML models throughout the entire lifecycle.
  </li>
  <li>
   Experience with CI/CD tools, containerization/orchestration technologies (e.g., Docker, Kubernetes), model serving frameworks (e.g., TensorFlow Serving, Sagemaker), and experiment tracking (e.g., MLflow).
  </li>
  <li>
   Experience with production monitoring tools to detect data drift or model decay.
  </li>
  <li>
   Strong hands-on experience with major cloud platforms (e.g., AWS, Azure, GCP) and familiarity with DevOps practices.
  </li>
  <li>
   Excellent analytical, problem-solving, and communication skills, with the ability to translate complex technical concepts into clear and actionable insights.
  </li>
  <li>
   Proven ability to work effectively in a fast-paced, collaborative environment, with a passion for innovation and continuous learning
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 <strong>
  Benefits &amp; Growth Opportunities:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Competitive salary and performance bonuses
  </li>
  <li>
   Comprehensive health insurance
  </li>
  <li>
   Professional development and certification support
  </li>
  <li>
   Opportunity to work on cutting-edge AI projects
  </li>
  <li>
   Flexible working arrangements
  </li>
  <li>
   Career advancement opportunities in a rapidly growing AI company
   <br/>
   <br/>
  </li>
 </ul>
 This position offers a unique opportunity to shape the future of AI implementation while working with a talented team of professionals at the forefront of technological innovation. The successful candidate will play a crucial role in driving our company's success in delivering transformative AI solutions to our clients.
</div>


Durlston Partners

<div></div><div><div><div><div>Data Engineering, Software Engineering
</div><div>Up to $250,000 USD
</div><div>Abu Dhabi, Dubai</div><p></p><div><br>
</div></div></div><div><div><div><p><b>Senior Data Engineer &ndash; ML Quant Fund &ndash; UAE &ndash; up to $250,000 USD</b></p>
<p>
Opportunities for Data Engineers to do truly impactful work in the UAE remain scarce, with most buy-side firms keeping their core tech teams in London, New York, or Singapore. This team rewards people directly for the impact they make, with performance bonuses that genuinely reflect contribution.</p>
<p>
Although the team prefer collaborating in person, the office is conveniently located. The most sought-after neighbourhoods in Abu Dhabi are only a 10&ndash;20 minute drive away. No tube strikes, no packed commutes, and no paying for a season ticket just to stand. A cab typically costs around &pound;8 one way.</p>
<p>
It&rsquo;s also a place where people stay. Staff turnover is well below industry average, and most of the team have relocated from top buy-side firms across New York, London, Singapore, Hong Kong, and Paris.</p>
<p><b>
What you&rsquo;ll do</b></p>
<ul>
<li>Acquire and ingest datasets from various sources to meet business needs.</li>
<li>Design, build and manage robust data pipelines and infrastructure to ensure high data quality and reliability.</li>
<li>Collaborate with cross-functional teams to understand business objectives and translate them into technical solutions.</li>
<li>Partner closely with quantitative researchers and investment analysts to ensure data products meet research requirements.</li>
</ul>
<p><b>What you&rsquo;ll need</b></p>
<ul>
<li>6+ years&rsquo; experience in Data/Quant Engineering</li>
<li>Python, SQL</li>
<li>Modern data warehousing (Snowflake, Databricks, Redshift, etc.)</li>
<li>Apache Airflow or similar</li>
<li>Terraform</li>
<li>Cloud experience (AWS, Azure, GCP)</li>
<li>Familiarity with common financial datasets (Bloomberg, FactSet, S&amp;P Global, Macrobond, Finaeon, MSCI, etc.)</li>
</ul>
<p><b>Why move to the UAE?</b></p>
<ul>
<li>Ranked among the top 5 safest cities in the world</li>
<li>An emerging global hub for buy-side finance</li>
<li>Top international schools with school fees covered by the client for your family</li>
<li>Year-round sunshine; option to work from your home country in July/August</li>
<li>Significant tax advantages</li>
</ul>
<p>For an informal discussion and to talk through your expectations, now: <b>josh@durlstonpartners.com</b></p>
<p>
If this role isn&rsquo;t right for you but you know someone who may be interested, we offer a market-leading referral scheme for anyone who refers a friend who successfully passes probation. T&amp;Cs.</p></div></div></div></div><p></p>

Senior Data Engineer

Explore 452+ Database engineer in Abu Dhabi this December. Find roles across top companies and apply now to boost your career.

452 database engineer jobs IN Abu Dhabi

NoSQL Database Engineer

Senior DB Admin: HA, Security & Analytics (Abu Dhabi)

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Senior Data Engineer