project engineer

planning engineer

business analyst

sales engineer

estimation engineer

data engineer

VaporVM

<div><div><div><b>Date Posted:</b></div>
11 September, 2025</div>
<div><div><b>Industry:</b></div>
IT Services and IT Consulting</div>
<div><div><b>Location:</b></div>
VAPORVM IT SERVICES DMCC</div></div>
<br><div><h2 class="jobSectionHeader"><b>Job Description:</b></h2>
<div><p><b>Job Overview:</b></p>
<ul>
<li>We are seeking a skilled Data Engineer to design, implement, and support data integration solutions for our enterprise data warehouse. This role involves developing robust ETL pipelines, managing PL/SQL procedures, collaborating with business stakeholders, and ensuring the stability and performance of our data infrastructure. The ideal candidate will bring strong technical expertise in Informatica, PL/SQL, Python, and Linux/Unix environments, along with the ability to support mission-critical operations.</li>
</ul>
<p><b>Key Responsibilities:</b></p>
<ul>
<li><ul><li><b>ETL Pipeline Development:</b> Design, build, and optimize ETL pipelines to load data from multiple source systems into the enterprise data warehouse.
</li><li><b>Stored Procedure Management:</b> Create, optimize, and maintain PL/SQL stored procedures to support business needs and improve query performance.
</li><li><b>Informatica Development:</b> Develop, troubleshoot, and optimize Informatica ETL workflows, including large-volume file processing and integrations.
</li><li><b>Ad-Hoc Data Requests:</b> Support the Risk Department (Credit and Market Risk) by designing ETL solutions and delivering datasets as required.
</li><li><b>Collaboration:</b> Work closely with Credit and Market Risk teams to gather requirements, implement changes, and streamline workflows.
</li><li><b>Scripting &amp; Automation:</b> Use Python for automation and file handling; develop and maintain Linux/Unix shell scripts for operational tasks.
</li><li><b>Server Administration:</b> Perform routine server patching and maintenance for both Linux and Windows servers to ensure stability and security.
</li><li><b>Operational Support:</b> Provide 24/7 production support for ETL pipelines, monitoring performance, and resolving issues promptly.
</li><li><b>Documentation:</b> Create and maintain comprehensive documentation for ETL processes, workflows, and system configurations.
</li>
</ul></li></ul><p><b>Required Skills &amp; Qualifications:</b></p>
<ul>
<li><ul><li>Strong hands-on experience with <b>Informatica PowerCenter</b> (or similar ETL tools).
</li><li>Proficiency in <b>PL/SQL development</b> and performance tuning.
</li><li>Solid understanding of <b>data warehouse concepts and data modeling</b>.
</li><li>Experience managing <b>large data volumes</b> with performance optimization.
</li><li>Proficiency in <b>Python</b> for scripting and data handling.
</li><li>Strong knowledge of <b>Linux/Unix environments</b>, including shell scripting and administration.
</li><li>Familiarity with <b>Windows and Linux server patching/maintenance</b>.
</li><li>Ability to provide <b>24/7 production support</b> in a mission-critical environment.
</li><li>Excellent <b>problem-solving, troubleshooting, and communication</b> skills.
</li><li>Experience working with <b>Risk Management (Credit/Market Risk) teams</b> is a plus.</li></ul></li></ul></div></div><p></p>

Data Engineer

NorthBay Solutions

<div><p><b>Job Title:</b> Senior Data Engineer<br>
<b>Location:</b> Abu Dhabi, UAE (Onsite)<br>
<b>Employment Type:</b> Full-Time, Permanent</p><h3 class="jobSectionHeader"><b>
About the Role</b></h3><p>
We are seeking a highly skilled <b>Senior Data Engineer</b> with 7&ndash;10+ years of experience to join our team in Abu Dhabi. The ideal candidate will have deep expertise in building and optimizing scalable data pipelines, working with large datasets, and leveraging modern cloud-based technologies. This is an onsite role offering the opportunity to work on cutting-edge data engineering initiatives, including data preparation for advanced analytics, ML, and GenAI use cases.</p><h3 class="jobSectionHeader"><b>
Key Responsibilities</b></h3><ul><li><p>
Design, build, and maintain scalable, reliable, and high-performance data pipelines.</p></li><li><p>
Develop and optimize ETL/ELT processes to handle large-scale structured and unstructured data.</p></li><li><p>
Implement data models and warehouse solutions with a focus on Snowflake.</p></li><li><p>
Integrate and process data from diverse sources including SQL and NoSQL databases.</p></li><li><p>
Ensure data quality, governance, and security standards are maintained across all systems.</p></li><li><p>
Collaborate with data scientists and ML engineers to prepare data for advanced analytics and GenAI models.</p></li><li><p>
Work closely with business stakeholders to translate requirements into data engineering solutions.</p></li><li><p>
Monitor, troubleshoot, and optimize data workflows for performance and cost efficiency.</p></li></ul><h3 class="jobSectionHeader"><b>
Required Skills &amp; Qualifications</b></h3><ul><li><p><b>
Experience:</b> 7&ndash;10+ years of professional experience in data engineering.</p></li><li><p><b>
Programming:</b> Proficiency in Python (mandatory).</p></li><li><p><b>
Data Engineering:</b> Strong SQL expertise; experience with NoSQL databases; advanced skills in data modeling, ETL/ELT processes, and orchestration tools (e.g., Airflow, cloud-native services).</p></li><li><p><b>
Cloud:</b> Hands-on experience with cloud data warehousing, data lakes, and related services (mandatory).</p></li><li><p><b>
Snowflake:</b> Proven experience designing and managing data pipelines/warehousing in Snowflake.</p></li><li><p><b>
Big Data:</b> Experience handling large volumes of structured and unstructured data.</p></li><li><p><b>
Desired Skills:</b> Exposure to preparing data for ML/GenAI workloads; familiarity with data governance and data quality frameworks.</p></li></ul><h3 class="jobSectionHeader"><b>
Why Join Us</b></h3><ul><li><p>
Opportunity to work onsite in Abu Dhabi on high-impact data engineering projects.</p></li><li><p>
Collaborative work environment with cross-functional teams in cloud, data, and ML domains.</p></li><li><p>
Chance to contribute to the modernization of enterprise data platforms with cutting-edge technologies.</p></li></ul><p>
</p><p>YzBo50s7qA</p></div>

Senior Data Engineer

Delivery Hero

<div><b>Company Description</b><p><br>
Since launching in Kuwait in 2004, talabat, the leading on-demand food and Q-commerce app for everyday deliveries, has been offering convenience and reliability to its customers. talabat&rsquo;s local roots run deep, offering a real understanding of the needs of the communities we serve in eight countries across the region.<br>
</p><p>We harness innovative technology and knowledge to simplify everyday life for our customers, optimize operations for our restaurants and local shops, and provide our riders with reliable earning opportunities daily.<br>
</p><p>Here at talabat, we are building a high performance culture through engaged workforce and growing talent density. We're all about keeping it real and making a difference. Our 6,000+ strong talabaty are on an awesome mission to spread positive vibes. We are proud to be a multi great place to work award winner.</p><b><br>
Job Description</b><p><b><br>
About the Role</b></p><p>
We&rsquo;re looking for a Data Engineer who&rsquo;s passionate about building reliable, scalable, and cost-efficient data systems. You&rsquo;ll work with a modern stack &mdash; Kafka, Google Cloud Platform (GCP), AWS &mdash; to design and maintain the pipelines that power analytics, machine learning, and product insights.</p><p>
This is an IC2-level role, ideal for someone with solid foundational skills in data engineering who&rsquo;s ready to deepen their expertise, take ownership of workflows, and collaborate across teams.</p><p>
If you don&rsquo;t know every tool in our stack yet &mdash; that&rsquo;s okay. We value curiosity, problem-solving, and a willingness to learn just as much as existing technical skills.</p><p><b>
What's On Your Plate?</b></p><ul><li><p>
Design, build, and maintain data pipelines and workflows for batch and streaming use cases.</p></li><li><p>
Work with Kafka to manage real-time data ingestion and event-driven architectures.</p></li><li><p>
Leverage GCP and AWS services for storage, processing, and orchestration (e.g., BigQuery, Dataflow, S3, Lambda).</p></li><li><p>
Orchestrate workflows using tools like Airflow or similar schedulers.</p></li><li><p>
Ensure data quality and reliability through monitoring, alerting, and automated validation.</p></li><li><p>
Collaborate with analysts, data scientists, and product teams to understand requirements and deliver data solutions that drive business impact.</p></li><li><p>
Optimize for cost and performance across cloud environments.</p></li><li><p>
Participate in code reviews, documentation, and knowledge sharing to raise the bar for the team.</p></li></ul><p><br>
<b>
Our Tech Stack</b></p><ul><li><p>
Data Ingestion &amp; Streaming: Apache Kafka, Kafka Connect</p></li><li><p>
Cloud Platforms: Google Cloud Platform (BigQuery, Dataflow, Pub/Sub, Cloud Storage), AWS (S3, Lambda, Glue)</p></li><li><p>
Workflow Orchestration: Apache Airflow</p></li><li><p>
Programming Languages: Python, SQL, (bonus: Java/Scala)</p></li><li><p>
Infrastructure &amp; DevOps: Terraform, CI/CD pipelines, Docker</p></li><li><p>
Monitoring &amp; Observability: Grafana, Prometheus, Cloud-native tools</p></li></ul><b><br>
Qualifications</b><p><b><br>
What Did We Order?</b></p><p><b>
What We&rsquo;re Looking For</b></p><ul><li><p>
Experience (1&ndash;3 years) in data engineering, software engineering, or a related field.</p></li><li><p>
Proficiency in SQL and at least one programming language (Python preferred).</p></li><li><p>
Understanding of data modeling, ETL/ELT concepts, and cloud-based data warehouses.</p></li><li><p>
Familiarity with streaming platforms (Kafka, Kinesis, or similar).</p></li><li><p>
Comfort working in cloud environments (GCP, AWS, or Azure).</p></li><li><p>
Strong communication skills &mdash; able to explain technical concepts to non-technical audiences.</p></li><li><p>
Growth mindset &mdash; eager to learn, adapt, and take on new challenges.<br>
</p></li></ul><p><b>Nice-to-Have (But Not Required and willing to learn)</b></p><ul><li><p>
Experience with infrastructure-as-code (Terraform, CloudFormation).</p></li><li><p>
Exposure to containerization (Docker, Kubernetes).</p></li><li><p>
Knowledge of data governance, security, and compliance best practices.</p></li></ul><b><br>
Additional Information</b><p><b><br>
Why You&rsquo;ll Love Working Here</b></p><ul><li><p>
Impact: Your work will directly influence how data powers decisions across the company.</p></li><li><p>
Learning culture: We invest in your growth &mdash; from mentorship to training budgets.</p></li><li><p>
Modern stack: Work with cutting-edge tools and cloud platforms.</p></li><li><p>
Collaboration: Partner with talented engineers, analysts, and product managers.</p></li><li><p>
Flexibility: We care about outcomes, not where you work from.</p></li></ul><p><b>
Our Hiring Philosophy</b></p><p>
We know that a great data engineer isn&rsquo;t defined by checking every box. If you&rsquo;re excited about data engineering, have a solid foundation, and are eager to grow, we want to hear from you.</p></div>

Data Engineer II

DATAIKU

<div><div><div><p>Dataiku is The Universal AI Platform&trade;, giving organizations control over their AI talent, processes, and technologies to unleash the creation of analytics, models, and agents. Providing no-, low-, and full-code capabilities, Dataiku meets teams where they are today, allowing them to begin building with AI using their existing skills and knowledge.</p></div><div>
Why Engineering at Dataiku?</div>
<p>
Dataiku&rsquo;s SaaS, cloud or on-premise deployed platform connects many Data Science technologies. Our technology stack reflects our commitment to quality and innovation. We integrate the best of data and AI tech, selecting tools that truly enhance our product. From the latest LLMs to our dedication to open source communities, you'll work with a dynamic range of technologies and contribute to the collective knowledge of global tech innovators. You can find out even more about working in Engineering at Dataiku by taking a look here.</p>
<div>
What to know about the Field Engineering team</div>
<p>
As a Field Engineer, you&rsquo;ll work with customers at every stage of their relationship with Dataiku - from the initial evaluations to enterprise-wide deployments. In this role, you will help customers to design, build, validate, and run their Data Science and AI Platforms.</p>
<div>
How you&rsquo;ll make an impact</div>
<p>
This role requires strong technical abilities, adaptability, inventiveness, and strong communication skills. Sometimes you will work with clients on traditional big data technologies such as SQL data warehouses, while at other times you will be helping them to discover and implement the most cutting edge tools; Spark on Kubernetes, cloud-based elastic compute engines, and GPUs. If you are interested in staying at the bleeding edge of big data and AI while maintaining a strong working knowledge of existing enterprise systems, this will be a great fit for you.</p>
<div>
Some expected outcomes for this role:</div>
<ul><li>Understand customer requirements in terms of scalability, availability and security and provide architecture recommendations</li>
<li>Deploy Dataiku in a large variety of technical environments (SaaS, Kubernetes, Spark, Cloud or on-prem)</li>
<li>Automate operation, installation, and monitoring of the Data Science ecosystem components in our infrastructure stack</li>
<li>Collaborate with Revenue and Customer teams to deliver a consistent experience to our customers</li>
<li>Drive technical success by being a trusted advisor to our customers and our internal account teams</li>
</ul><div>What you need to be successful:</div>
<ul><li>Professional experience with at least one cloud based services (AWS, GCP or Azure)</li>
<li>Hands-on experience with the Kubernetes ecosystem for setup, administration, troubleshooting and tuning</li>
<li>Familiarity with Ansible or other application deployment tools (Terraform, CloudFormation, etc)</li>
<li>Experience with cloud based Data Warehouses and Data Lakes (Snowflake, Databricks)</li>
<li>Some experience with Python</li>
<li>Grit when faced with technical issues</li>
<li>Comfort and confidence in client-facing interactions</li>
<li>Ability to work both pre and post sale</li>
</ul><div>What will make you stand out:</div>
<ul><li>Some knowledge in Data Science and/or machine learning</li>
<li>Linux system administration experience</li>
<li>Hands-on experience with Spark ecosystem for setup, administration, troubleshooting and tuning</li>
<li>Professional experience or Familiarity with Hadoop environment (Cloudera) is a plus</li>
<li>Experience with authentication and authorization systems like(A)AD, IAM, and LDAP</li>
</ul><div>What does the hiring process look like? #LI-Hybrid #LI-AN1</div>
<ul><li>Initial call with a member of our Technical Recruiting team</li>
<li>Video call with the Field Engineer Hiring Manager</li>
<li>Technical Assessment to show your skills (Home Test)</li>
<li>Debrief of your Tech Assessment with Field Engineer Team members</li>
<li>Final Interview with the VP Field Engineering</li>
</ul><p></p><div>
<p>What are you waiting for!</p>
<p>At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to Dataiku! And if you&rsquo;d like to learn even more about working here, you can visit our Dataiku LinkedIn page.</p>
<p></p>
<p><i>Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment. If you need assistance or an accommodation, please contact us at: </i>reasonable-accommodations@dataiku.com</p><br>
<p></p>
<p></p>
<p></p><div><p>Protect yourself from fraudulent recruitment activity</p>
<p><i>Dataiku will never ask you for payment of any type during the interview or hiring process. Other than our video-conference application, Zoom, we will also never ask you to make purchases or download third-party applications during the process. If you experience something out of the ordinary or suspect fraudulent activity, please review our page on identifying and reporting fraudulent activity </i><i>here.</i></p>
</div></div></div><div><p><b>A</b></p></div></div>

Field Engineer - Dubai

Fuse Energy

<div>
 Fuse Energy is a forward-thinking renewable energy startup on a mission to deliver a terawatt of renewable energy - fast. We're combining first-principles thinking with cutting-edge technology to build a radically better energy system. We raised $100M from top-tier investors including Multicoin, Balderton, Lakestar, Accel, Creandum, Lowercarbon, Ribbit, Box Group and strategic angels like Nico Rosberg, the Co-Founder of Solana and GPs behind Meta, Revolut, Spotify, Uber and more.
 <br/>
 <br/>
 We're creating a fully integrated energy company: from developing solar, wind and hydrogen projects to real-time power trading and distributed energy installations. By selling directly to consumers, we cut out the middleman, lower costs and pass on savings to customers.
 <br/>
 <br/>
 But we're not stopping there. We're also building the Energy Network: a decentralised platform of smart devices that rewards users in Energy Dollars for electrifying their homes, shifting usage to off-peak hours, and helping balance the grid. This network strengthens grid stability - a critical foundation for scaling AI data centers and other energy-intensive industries.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Build and maintain scalable, reliable data pipelines to support analytics, reporting, and product needs
  </li>
  <li>
   Own the design and evolution of analytical schemas, translating business logic into structured, intuitive data models
  </li>
  <li>
   Migrate and transform data from Postgres into Clickhouse, ensuring performance and reliability
  </li>
  <li>
   Develop and maintain DBT models that reflect our business domain and make data easily accessible for teams
  </li>
  <li>
   Implement tests and data quality checks to ensure reliable and trustworthy datasets
  </li>
  <li>
   Identify and eliminate duplicates, improve data consistency, and enforce clean modeling standards
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   3+ years of experience as a Backend Engineer or in a data-focused engineering role
  </li>
  <li>
   Proficiency in Python and SQL, with the ability to write clean, efficient code and queries
  </li>
  <li>
   Hands-on experience working with relational databases, particularly Postgres
  </li>
  <li>
   Experience designing schemas and building data models that reflect real-world business logic
  </li>
  <li>
   Familiarity with DBT or similar data transformation frameworks
  </li>
  <li>
   Strong understanding of data validation, testing, and quality assurance practices
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Bonus
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Familiarity with cloud-based data infrastructure or data orchestration tools
  </li>
  <li>
   Experience with CI/CD practices for data pipelines and transformations
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Competitive salary and an equity sign-on bonus
  </li>
  <li>
   Biannual bonus scheme
  </li>
  <li>
   Fully expensed tech to match your needs
  </li>
  <li>
   Paid annual leave
  </li>
  <li>
   Breakfast and dinner for office based employees
  </li>
 </ul>
</div>


Backend Engineer (Data)

Make Fortune Business Solutions

<p><b>About Us</b></p><p>Real Law AI is a legal tech startup in the UAE. Founded in 2024, we already have 500+ paying users.</p><p><b>What You&rsquo;ll Do (Key Responsibilities)</b></p><ul><li>Build the core AI chatbot with RAG.</li><li>Optimize RAG pipelines.</li><li>Develop semantic search (Elasticsearch).</li><li>Work with LLMs.</li><li>Engineer data pipelines.</li><li>Ensure integrations and collaboration across systems.</li></ul><p><b>Who You Are (Required Skills)</b></p><ul><li>Proven experience as an AI/ML Engineer with a strong project portfolio in NLP and/or Conversational AI.</li><li>Solid hands-on expertise with Python and ML frameworks (e.g., PyTorch, Hugging Face, LangChain).</li><li>Strong track record in building and deploying RAG systems and working with vector databases (e.g., Pinecone, Milvus, Weaviate).</li><li>Strong understanding of search technologies, especially Elasticsearch.</li><li>Strong foundation in NLP concepts, including transformers, embeddings, and NER.</li><li>Experience with cloud infrastructure and services (e.g., AWS S3).</li><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Artificial Intelligence, or a related field.</li></ul><p><b>Nice to Have (Preferred Skills)</b></p><ul><li>Experience with different open-source and proprietary LLMs.</li><li>Experience with Arabic NLP.</li><li>Familiarity with MLOps principles and tools for deploying and monitoring models.</li><li>Passion for building intuitive user interfaces.</li></ul><p>If you are a creator passionate about developing intelligent conversational AI to solve real, meaningful problems, we want to hear from you. Apply now and help us build the future of law.</p><p><b>What We Offer</b></p><ul><li>Competitive salary (negotiable).</li><li>Friendly, non-toxic team culture.</li><li>Flexible format: hybrid or remote work.</li></ul><p>Job Types: Full-time, Temporary, Contract</p><p>Application Question(s):</p><ul><li>How many years of work experience do you have with Python?</li></ul><ul><li>How many years of proven experience as an AI/ML Engineer in NLP do you have?</li></ul>

AI Engineer

Fractal Analytics

<div><div>It's fun to work in a company where people truly BELIEVE in what they are doing!</div><div></div><div><i>
We're committed to bringing passion and customer focus to the business.</i></div><div></div><div>
Brief About Fractal :</div><div>
Fractal is one of the most prominent providers of Artificial Intelligence to Fortune 500&reg; companies. Fractal's vision is to power every human decision in the enterprise, and bring AI, engineering, and design to help the world's most admired companies.</div><div></div><div>
Fractal currently has 4500+ employees across 16 global locations, including the United States, UK, Ukraine, India, Singapore, and Australia. Fractal has been recognized as 'Great Workplace' and 'India's Best Workplaces for Women' in the top 100 (large) category by The Great Place to Work&reg; Institute; featured as a leader in Customer Analytics Service Providers Wave&trade; 2021, Computer Vision Consultancies Wave&trade; 2020 &amp; Specialized Insights Service Providers Wave&trade; 2020 by Forrester Research Inc., a leader in Analytics &amp; AI Services Specialists Peak Matrix 2022 by Everest Group and recognized as an 'Honorable Vendor' in 2022 Magic Quadrant</div><div><br>
Job Description:</div><ul><li>
Detailed reviewing and analyzing structured, semi-structured and unstructured data sources for quality, completeness and business value.</li><li>
Design, architect, implement and test rapid prototypes that demonstrate value of the data and present them to diverse audiences.</li><li>
Participate in early state design and feature definition activities.</li><li>
Responsible for implementing robust data pipeline using Microsoft Azure stack.</li><li>
Responsible for creating reusable and scalable data pipelines.</li><li>
Understanding of RCA process.</li><li>
Monitoring and managing data ingestion and processing workloads through technologies mentioned above.</li><li>
Eye for detail to identify areas of improvements in existing solutions.</li><li>
Strong communication and articulation. Constant connects with business and other stakeholders is important.</li><li>
Proactive issue identification and resolution.</li><li>
Troubleshooting issues, providing work around and permanent fixes.</li><li>
Managing and tracking incidents and SRs.</li><li>
Developing innovative automation solutions and reduce manual intervention.</li><li>
Building complex data ingestion workloads, solution design improvements, optimization of processes and supporting ad-hoc requests.</li><li>
Advanced working knowledge and experience with relational and non-relational databases.</li><li>
Experience building and optimizing big data pipelines, architectures and data sets.</li><li>
Strong analytic skills related to working with unstructured datasets.</li></ul><div><br>
Mandatory Technical Skills:</div><ul><li>
Azure Data Factory</li><li>
Azure Databricks (Python, Pyspark, Spark SQL)</li><li>
Azure Storage Account</li><li>
Azure Logic Apps (good to have)</li><li>
Azure SQL Server</li><li>
Azure Synapse</li><li>
Eventhub</li><li>
Azure DevOps experience to deploy the ADF pipelines</li></ul><div></div><div>
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!</div><div></div><div><div>
Not the right fit? Let us know you're interested in a future opportunity by clicking <i>Introduce Yourself</i> in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!</div></div></div>

Azure Lead Architect

Explore 1981+ Data engineer in Dubai this September. Find roles across top companies and apply now to boost your career.