72 Data Engineer jobs in Dubai

At Fuse Energy, we are transforming the energy sector with innovative solutions that empower consumers. As we continue to grow, we’re investing in our data infrastructure to enable smarter decisions, stronger analytics, and scalable systems that support every part of our business.

We are looking for a Data Engineer to join our growing team. You'll own core data pipelines, work on migrating data from our Postgres transactional systems into Clickhouse, and build clean, testable transformations using DBT. You'll help design the underlying data models and define the schemas that power decision-making across the company.

This role is ideal for someone who enjoys writing clean Python and SQL, and is particularly interested in domain modeling, schema design, and building a first-class data foundation from scratch.

1. Design, build, and maintain robust, scalable data pipelines to support analytics and reporting.
2. Own the design and evolution of analytical schemas, translating business logic into structured, intuitive data models.
3. Migrate and transform data from Postgres into Clickhouse, ensuring performance and reliability.
4. Develop and maintain DBT models that reflect our business domain and make data easily accessible for teams.
5. Implement tests and data quality checks to ensure datasets are reliable and trustworthy.
6. Identify and eliminate duplicates, improve data consistency, and enforce clean modeling standards.

1. Minimum 3 years of experience as a Data Engineer or in a similar data-focused role.
2. Strong proficiency in Python and SQL.
3. Hands-on experience with relational databases, especially Postgres.
4. Experience designing schemas and building data models that reflect real-world business domains.
5. Familiarity with DBT or similar transformation frameworks is highly desirable.
6. Strong understanding of data quality, validation, and testing practices.

1. Familiarity with cloud-based data infrastructure or data orchestration tools.
2. Experience with CI/CD practices for data pipelines and transformations.

• Competitive salary and a stock options sign-on bonus
• Biannual bonus scheme
• Fully expensed tech to match your needs!
• Paid annual leave
• Breakfast and dinner for office-based employees

Dubai, United Arab Emirates | Posted on 07/29/2025

myZoiis changing lives for the better for those who deserve it the most. We are an excitingfintech start-up aiming to promote financial inclusion globally. Our vision isto provide a level playing field to the unbanked and the underbanked inaccessing essential financial services in an affordable, convenient, andtransparent fashion. We are looking for smart, ambitious, and purpose-drivenindividuals to join us in this journey.Please apply via the link below ifyou are interested.

You will beworking in our Data Platform team, providing data capability for internal andproduct requirements for myZoi. You will be proactive and innovative and youwill be using 100% cloud technologies based on AWS and modern Open Sourcetooling to provide a real-time data infrastructure, allowing our teams to gainunprecedented insight into our wealth of application data. You will work with aworld-class team of Data Analysts and Engineers to provide best in classsolutions.

ArchitectAWS-Centric Data Solutions:

• Designand optimize high-performance data pipelines leveraging AWS native tools.
  
• Architectmodular, AI-ready data lake with a roadmap to ensure secure ingestion,transformation, and consumption workflows.
  
• Implementscalable streaming solutions that factor in performance, scalability and cost.
  

EmbedSecurity & Compliance Across AWS Workloads

• Buildand enforce data governance protocols aligned with relevant regulatory andcompliance requirements using AWS tools.
  
• Collaboratewith cybersecurity teams to implement IAM best practices, encryptionstrategies, and secure networking.
  
• Maintaintraceability and auditability for all data flows across the AWS stack.
  

Optimizefor Observability & Cost Efficiency:

• Workwith our Cloud Architect and SRE to deploy and fine-tune monitoring dashboardsusing Datadog and AWS CloudWatch for performance, anomaly detection, andsecurity event correlation.
  
• Continuouslyevaluate storage and compute cost optimization across S3, EC2, Redshift, andGlue workloads.
  

LeadThrough Influence and Collaboration:

• Partnerwith Data Science, Cloud Architect, Security and Engineering leads to aligncloud architecture with evolving business goals and priorities to ensurefuture-readiness.
  
• Mentorjunior engineers in AWS best practices, scalable design, and secure codingstandards.
  
• Leadinnovation across key Product initiatives.
  

Innovatewith Purpose:

• Evaluateand integrate AWS-compatible orchestration tools like Airflow, Lakeformation,ECS, EKS or Managed Workflows.
  
• Contributeto middleware and third-party orchestration strategies through secure APIs andevent-driven patterns.
  
• Designdata products based on requirements that focus on key use cases such as socialimpact related.
  

• Bachelor’sor Master’s degree in Computer Science, Data Engineering, Software Engineeringor a related field.
  
• 8–10years of professional experience in data engineering, including 5+ yearsarchitecting on AWS underpinned by data governance. Mastery of AWS cloudservices (S3, Lambda, Glue, Redshift, Kinesis, Lake Formation, Crawler etc.).
  
• Deepexpertise in building scalable cloud-native solutions and managing secure datainfrastructure ensuring data governance.
  
• Strongcommand of compliance-driven architecture design and real-time monitoringstrategies.
  
• Goodunderstanding of compliance frameworks related to data privacy and informationsecurity.
  
• Excellentcommunication skills and a proven leadership in mentoring and ability to leadcross-functional initiatives.
  

• Proficiencywith agile tools (Jira).
  
• CloudInfrastructure & AWS Services: S3, Glue, Lambda, Redshift, Kinesis, IAM,CloudWatch, Lake Formation etc. Strong awareness of AWS security tools.
  
• DataOrchestration: Experience with Apache Airflow on ECS or AWS Managed Workflows.Familiarity with Step Functions and event-driven orchestration patterns.
  
• Streaming& ETL Pipelines: Expertise in Kinesis Data Streams and Kafka (AWS-hosted orcompatible). Proficiency in designing and optimizing ETL workflows using AWS.
  
• Monitoring& Observability: Awareness of or exposure to logs, alerting, monitoring,detection and tuning.
  
• Security& Governance: Awareness of or exposure to AWS KMS. In addition, buildinggovernance workflows with AWS Config and Lake Formation.
  
• DataModeling & Optimization: Extensive experience in design of AI-ready datalake with scalable ingestion and query performance.
  
• ProgrammingLanguages: Advanced coding in Python and SQL. Experience in Java and ETLprocesses is also preferred.

• Youhave strong communication skills, curiosity and are a quick learner.
  
• Youenjoy a creative fast paced agile world.
  
• Youenjoy mentoring and teaching other developers to create a world class cohesiveteam.
  
• Youenjoy making friends and having fun.
  

AtmyZoi we strive to create a both a product and a team that embraces equality,inclusion, diversity and freedom. We want people who can be themselves andbring their own brand of value to the team. Come and join us!

The Data Engineer will be responsible for developing semantic models on top of the Data Lake/Data Warehouse to fulfill the self-service BI foundation requirements. This includes data extraction from various data sources and integration into the central data lake/data warehouse using enterprise platforms like Informatica iPaaS.

1. Designing data warehouse data models based on business requirements.
2. Designing, developing, and testing both batch and real-time Extract, Transform and Load (ETL) processes required for data integration.
3. Ingesting both structured and unstructured data into the SMBU data lake/data warehouse system.
4. Designing and developing semantic models/self-service cubes.
5. Performing BI administration and access management to ensure access and reports are properly governed.
6. Performing unit testing and data validation to ensure business UAT is successful.
7. Performing ad-hoc data analysis and presenting results in a clear manner.
8. Assessing data quality of the source systems and proposing enhancements to achieve a satisfactory level of data accuracy.
9. Optimizing ETL processes to ensure execution time meets requirements.
10. Maintaining and architecting ETL pipelines to ensure data is loaded on time on a regular basis.

1. 5 to 8 years of overall experience.
2. Proven experience in the development of dimensional models in Azure Synapse with strong SQL knowledge.
3. Minimum of 3 years working as a Data Engineer in the Azure ecosystem specifically using Synapse, ADF & Data bricks.
4. Preferably 3 years of experience with data warehousing, ETL development, SQL Queries, Synapse, ADF, PySpark, and Informatica iPaaS for data ingestion & data modeling.

Location : Dubai

Who Can Apply: Candidates who are currently in Dubai
Job Type: Contract
Experience: Minimum 8+ years

Job Summary:

We are looking for an experienced Data Engineer to design, develop, and optimize data pipelines, ETL processes, and data integration solutions. The ideal candidate should have expertise in AWS cloud services, data engineering best practices, open-source tools, and data schema design. The role requires hands-on experience with large-scale data processing, real-time data streaming, and cloud-based data architectures.

Key Responsibilities:

• Develop and Maintain Data Pipelines to process structured and unstructured data efficiently.
• Implement ETL/ELT Workflows for batch and real-time data processing.
• Optimize Data Processing Workflows using distributed computing frameworks.
• Ensure Data Integrity and Quality through data validation, cleaning, and transformation techniques.
• Work with AWS Cloud Services , including S3, Redshift, Glue, Lambda, DynamoDB, and Kinesis.
• Leverage Open-Source Tools like Apache Spark, Airflow, Kafka, and Flink for data processing.
• Manage and Optimize Database Performance for both SQL and NoSQL environments.
• Collaborate with Data Scientists and Analysts to enable AI/ML model deployment and data accessibility.
• Support Data Migration Initiatives from on-premise to cloud-based data platforms.
• Ensure Compliance and Security Standards in handling sensitive and regulated data.
• Develop Data Models and Schemas for efficient storage and retrieval.

Required Skills & Qualifications:

• 8+ years of experience in data engineering, data architecture, and cloud computing.
• Strong knowledge of AWS Services such as Glue, Redshift, Athena, Lambda, and S3.
• Expertise in ETL Tools , including Talend, Apache NiFi, Informatica, dbt, and AWS Glue.
• Proficiency in Open-Source Tools such as Apache Spark, Hadoop, Airflow, Kafka, and Flink.
• Strong Programming Skills in Python, SQL, and Scala.
• Experience in Data Schema Design , normalization, and performance optimization.
• Knowledge of Real-time Data Streaming using Kafka, Kinesis, or Apache Flink.
• Experience in Data Warehouse and Data Lake Solutions .
• Hands-on experience with DevOps and CI/CD Pipelines for data engineering workflows.
• Understanding of AI and Machine Learning Data Pipelines .
• Strong analytical and problem-solving skills .

Preferred Qualifications:

• AWS Certified Data Analytics – Specialty or AWS Solutions Architect certification.
• Experience with Kubernetes, Docker, and serverless data processing.
• Exposure to MLOps and data engineering practices for AI/ML solutions.
• Experience with distributed computing and big data frameworks.

At Fuse Energy, we are transforming the energy sector with innovative solutions that empower consumers. As we continue to grow, we’re investing in our data infrastructure to enable smarter decisions, stronger analytics, and scalable systems that support every part of our business.

We are looking for a Data Engineer to join our growing team. You'll own core data pipelines, work on migrating data from our Postgres transactional systems into Clickhouse, and build clean, testable transformations using DBT. You'll help design the underlying data models and define the schemas that power decision-making across the company.

This role is ideal for someone who enjoys writing clean Python and SQL, and is particularly interested in domain modeling, schema design, and building a first-class data foundation from scratch.

• Design, build, and maintain robust, scalable data pipelines to support analytics and reporting.
• Own the design and evolution of analytical schemas, translating business logic into structured, intuitive data models.
• Migrate and transform data from Postgres into Clickhouse, ensuring performance and reliability.
• Develop and maintain DBT models that reflect our business domain and make data easily accessible for teams.
• Implement tests and data quality checks to ensure datasets are reliable and trustworthy.
• Identify and eliminate duplicates, improve data consistency, and enforce clean modeling standards.

• Minimum 3 years of experience as a Data Engineer or in a similar data-focused role.
• Strong proficiency in Python and SQL.
• Hands-on experience with relational databases, especially Postgres.
• Experience designing schemas and building data models that reflect real-world business domains.
• Familiarity with DBT or similar transformation frameworks is highly desirable.
• Strong understanding of data quality, validation, and testing practices.

• Familiarity with cloud-based data infrastructure or data orchestration tools.
• Experience with CI/CD practices for data pipelines and transformations.

• Competitive salary and a stock options sign-on bonus
• Biannual bonus scheme
• Fully expensed tech to match your needs!
• Paid annual leave
• Breakfast and dinner for office-based employees

Get AI-powered advice on this job and more exclusive features.

About DeepLight: DeepLight is a pioneering AI company committed to pushing the boundaries of innovation in artificial intelligence. Our mission is to harness the power of data and machine learning to revolutionize industries and create a brighter future. With a dynamic team of experts and a culture of relentless innovation, we are at the forefront of AI research and development.

Position Overview: DeepLight is seeking an exceptional Data Engineer to join our team of AI specialists in the UAE. As an Expert Data Engineer, you will be responsible for designing, implementing, and optimizing data pipelines and infrastructure to support our cutting-edge AI systems. You will collaborate 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.

Requirements

• Pipeline Development: 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, with consideration for downstream AI/ML workloads.
• Data Integration: Implement robust data integration processes to seamlessly integrate data from different sources, ensuring consistency, reliability, and data quality for analytics and AI use cases.
• Data Storage: Design and optimize data storage solutions, including relational databases, NoSQL databases, data lakes, and cloud storage services, to efficiently store and manage large volumes of data for AI and machine learning model consumption.
• Performance Optimization: Optimize data processing and query performance to enhance system scalability, reliability, and efficiency, leveraging techniques such as indexing, partitioning, caching, and parallel processing—especially for AI model training and inference pipelines.
• Data Governance: Implement data governance frameworks to ensure data security, privacy, integrity, and compliance with regulatory requirements, including data encryption, access controls, and auditing—crucial for responsible AI deployment.
• Monitoring and Maintenance: Monitor data pipelines and infrastructure components, proactively identify and address issues, and perform routine maintenance tasks to ensure system stability and reliability across AI and data science environments.
• Collaboration: Collaborate closely with cross-functional teams, including data scientists, ML engineers, architects, and domain experts, to understand AI/ML requirements, gather insights, and deliver integrated, production-ready data solutions.
• Documentation: Create comprehensive documentation, including technical specifications, data flow diagrams, and operational procedures, to facilitate understanding, collaboration, and knowledge sharing across AI and analytics teams.
• Proven experience as a Data Engineer, with a track record of designing and implementing complex data pipelines and infrastructure solutions that support advanced analytics and AI initiatives.
• Expertise in data modeling, ETL processes, and data warehousing concepts, with proficiency in SQL and scripting languages (e.g., Python, Scala)—especially in AI pipeline preparation and feature engineering.
• Strong hands-on experience with big data technologies and frameworks, such as Hadoop, Spark, Kafka, and Flink, as well as cloud platforms (e.g., AWS, Azure, GCP) commonly used for AI workloads.
• Familiarity with containerization and orchestration technologies, such as Docker and Kubernetes, and DevOps practices for CI/CD, including ML model deployment and data pipeline automation.
• Experience supporting AI/ML initiatives, including the preparation of training datasets, model input/output data flows, MLOps integration, and experimentation tracking.
• Excellent analytical, problem-solving, and communication skills, with the ability to translate complex technical concepts into clear and actionable insights.
• Proven ability to work effectively in a fast-paced, collaborative environment, with a passion for innovation, continuous learning, and contributing to AI-driven solutions.

Benefits

Why Join DeepLight?

• Impact: Be part of a dynamic team that is shaping the future of AI and making a meaningful impact on industries and society.
• Innovation: Work on cutting-edge projects at the intersection of AI, data engineering, and machine learning, leveraging the latest technologies and methodologies.
• Collaboration: Collaborate with a diverse team of experts from various disciplines, fostering creativity, learning, and growth.
• Opportunity: Enjoy ample opportunities for professional development, career advancement, and leadership roles in a rapidly growing company.
• Culture: Join a culture of curiosity, excellence, and collaboration, where your ideas are valued, and your contributions are recognized and rewarded.

If you are passionate about data engineering, AI, and innovation, and you thrive in a dynamic and collaborative environment, we want to hear from you! Apply now to join DeepLight and be part of our journey to unlock the potential of AI for a brighter future.

• Mid-Senior level

• Full-time

• Information Technology

• IT Services and IT Consulting

Referrals increase your chances of interviewing at DeepLight AI by 2x

Tyde Digital, a trusted business optimization consultancy, is looking for a highly analytical and detail-oriented Data Engineer to join our rapidly growing team.

At Tyde, we collaborate with businesses across diverse industries and regions, helping them enhance four key areas of their operations : - people, processes, technology, and data . Our goal is to empower organizations with data driven decision-making, enabling them to achieve their strategic objectives.

As a Data Engineer, you'll play a pivotal role in designing, managing, and optimizing data infrastructure. You'll work closely with Business Analysts and Data Analysts to transform complex data into actionable insights, driving meaningful and measurable outcomes for our clients.

Who We're Looking For

Tyde Digital is home to problem-solvers, innovators, and strategic thinkers. If you're passionate about business transformation, thrive in a collaborative setting, and are driven by results, you'll fit right in.

• Adaptability in a fast-moving environment
• Proactive problem-solving mindset
• Strong analytical and data-driven decision-making skills
• Meticulous attention to detail
• Commitment to delivering exceptional value to clients
• True passion and pride in the work we deliver

Key Responsibilities

• Data Pipeline Development : Design and implement scalable and efficient architecture for data pipelines, ensuring seamless data flow across multiple endpoints.
• Technical Customizations : Deploy technical customizations to pre-packaged software solutions.
• Micro-service and API Development : Create and deploy micro-services and APIs to facilitate data transfer and integration between various systems.
• Data Transformation : Perform data transformation activities, including data cleansing, data mining, and data processing, utilizing a variety of technologies and tools.
• C ontinuous Improvement : Collaborate with cross-functional teams to drive changes and enhancements based on data-driven findings.
• Data Mapping : Identify and present key performance indicators (KPIs) based on existing data points and datasets.
• Solution Development : Design and implement end-to-end data-driven solutions tailored to business requirements, integrating tools, platforms, and custom logic to address specific operational challenges.

Involvement In

• Collecting Requirements from Clients : Identify and present key gaps and opportunities for business optimization from the client.
• Creating Data-Driven Insights : Provide valuable insights derived from data analysis and contribute to strategic decision-making processes.
• Reporting and Visualization : Develop reporting tools using a range of Business Intelligence (BI) tools such as Power BI, Tableau, QlikView, and others.
• KPI Identification : Identify and present key performance indicators (KPIs) based on existing data points and datasets.

Requirements

• Bachelor's degree in a relevant field (e.g., Computer Science, Data Science, Information Technology) or equivalent experience.
• 2+ years of experience in data engineering or a related role.
• Proven experience in data engineering or a related role.
• Strong programming skills in languages such as Python, C#, or Java.
• Experience in extracting applicable data from databases using SQL.
• Experience in cloud computing platforms (AWS / GCP / Azure).
• Experience with BI tools like Power BI, Tableau, or similar platforms.
• Strong problem-solving abilities and attention to detail.
• Ability to work collaboratively in a cross-functional team environment.
• Knowledge of data governance and security best practices is a plus.
• Excellent verbal and written communication skills.
• Excellent data visualization and communication skills.
• Experience with Power Platform Development applications.
• Experience with custom SharePoint applications and workflows.

We are in a critical phase of growth, which brings incredible opportunities but also unique challenges. Our projects span multiple geographies, often requiring travel and periods of time abroad to ensure seamless delivery and deep client engagement. At the same time, our biggest project isn't just client-facing it's also internal. We are constantly refining and improving our own systems and processes to ensure that as we scale, we remain agile and effective.

The pace is fast, and so adaptability is key. However, the rewards of joining at this early stage are immense your work will have a direct impact on the company's future, and you'll be in a position to shape the culture, operations, and strategic direction of a business that's on a rapid growth trajectory.

Why Join Us

• Client-First Philosophy : We prioritize the goals of our clients, offering a fresh alternative to traditional consultancy approaches. No legacy-minded advice or pushy sales tactics just honest, results-driven solutions.
• Technology Agnostic Excellence : We're not here to sell software. We help businesses maximize their existing technology investments and identify the most suitable new tools when necessary.
• Data-Driven Innovation : We enable businesses to turn accurate, accessible, and actionable data into real-time insights, driving tangible business results.
• Sustainable Client Growth : Our solutions aren't just about solving today's challenges they're about setting the foundation for tomorrow's innovation and success.
• Career Advancement : Joining the business at this phase of growth provides opportunity for accelerated career development working closely with the founders.

We are currently looking forData Engineer for ourUAE operations with the following Skill set and terms & conditions.

Technical Skill Sets :

• Data models with good knowhow of various data modelling techniques like star schema snow flake schema dimension modelling etc
• Expert in Database stored procedures and Structured Query Language PLSQL Java
• ETL Tools Informatica Microsoft SSIS
• Business intelligence tools SAP Business objects Microsoft Power BI
• Core banking systems (Preferred) Finacle HPS Power Card

Soft Skills

• Strong analytical and problem-solving abilities.
• Excellent communication skills in English both written and verbal.
• Ability to work collaboratively in a team environment.

Preferred Qualifications

• Understanding of the UAE Banking Regulatory Framework Submissions (BRF).
• Familiarity with the CBUAEs SupTech initiative and its objectives.
• Experience in automating regulatory reporting processes.

Joining time frame:2 weeks (maximum 1 month)

Additional Information :

Terms and conditions:

Joining time frame: maximum 4 weeks

Remote Work :

No

Employment Type :

Full-time

Do you want to love what you do at work? Do you want to make a difference, an impact, and transform peoples lives? Do you want to work with a team that believes in disrupting the normal, boring, and average?
If yes, then this is the job you are looking for , webook.com is Saudi's #1 event ticketing and experience booking platform in terms of technology, features, agility, revenue serving some of the largest mega events in the Kingdom surpassing over 2 billion in sales. webook.com is part of the Supertech Group also consisting of UXBERT Labs, one of the best digital and user experience design agencies in the GCC, along with Kafu Games, the largest esports tournament platform in MENA.
Key Responsibilities:

• Data Integration and ETL Development
• Architect and implement robust data integration pipelines to extract, transform, and load data from various sources (e.g., databases, SaaS applications, APIs, and flat files) into a centralized data platform
• Design and develop complex ETL (Extract, Transform, Load) processes to ensure data quality, consistency, and reliability
• Optimize data transformation workflows to improve performance and scalability
• Data Infrastructure and Platform Management:
• Implement and maintain data ingestion, processing, and storage solutions to support the organization's data and analytics requirements
• Ensure the reliability, security, and availability of the data infrastructure through effective monitoring, troubleshooting, and disaster recovery planning
• Data Governance and Metadata Management:
• Collaborate with the data governance team to establish data policies, standards, and procedures
• Develop and maintain a comprehensive metadata management system to ensure data lineage, provenance, and traceability
• Implement data quality control measures and data validation processes to ensure the integrity and reliability of the data
  

• 5-6 years of experience as a Data Engineer or a related role in a data-driven organization
• Proficient in designing and implementing data integration and ETL pipelines using tools such as Apache Airflow, airbyte, or any cloud-based data integration services
• Strong experience in setting up and managing data infrastructure, including data lakes, data warehouses, and real-time streaming platforms (e.g. Elastic , Google Bigquery, Mongodb)
• Expertise in data modeling, data quality management, and metadata management
• Proficient in programming languages such as Python, or Java, and experience with SQL
• Familiarity with cloud computing platforms (e.g., AWS,Google Cloud) and DevOps practices
• Excellent problem-solving skills and the ability to work collaboratively with cross-functional teams
• Strong communication and presentation skills to effectively translate technical concepts to business stakeholders
  

• Familiarity with data visualization and business intelligence tools (e.g., Tableau, qlik.etc)
• Knowledge of machine learning and artificial intelligence concepts and their application in data-driven initiatives
• Project management experience and the ability to lead data integration and infrastructure initiatives
• If you are a seasoned Data Engineer with a passion for building scalable and robust data integration solutions, we encourage you to apply for this exciting opportunity

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Other
• Industries IT Services and IT Consulting

Referrals increase your chances of interviewing at Supertech Innovation Labs by 2x

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