2 297 Data Team jobs in the United Arab Emirates

**Job Title:** Data Engineering Specialist

The Role

As a Data Engineering Specialist, you will play a pivotal role in transforming complex data landscapes into actionable business insights. Your expertise will enable you to rapidly convert diverse new data sources into datasets that support our overarching business intelligence and analytics goals.

Main Responsibilities:

• Evaluate new data sources from SAP and Non-SAP systems
• Rapidly convert these data sources into datasets
• Develop and support the integration of new data streams into our Azure Data platform
• Ensure data is accessible, reliable, and structured for business insight generation

Required Skills and Qualifications:

• Expertise in data engineering and technical integration
• Ability to evaluate diverse data sources and convert them into usable datasets
• Familiarity with Azure Data platform and its features
• Excellent analytical and problem-solving skills

Benefits:

You will directly impact our ability to make data-driven decisions and maintain our competitive edge in the marketplace. Your contributions will be invaluable in driving business growth and success.

Others:

We offer a dynamic work environment and opportunities for professional growth and development.

Data Engineering Specialist

A seasoned professional in data engineering with a strong background in designing and implementing end-to-end data pipelines using cloud platforms.

• Design, develop, and optimize Extract, Transform, Load (ETL) workflows for effective migration and transformation.
• Maintain data ingestion processes from diverse sources such as Salesforce, Oracle databases, PostgreSQL, and MySQL.
• Implement and maintain ETL processes and data pipelines to ensure efficient data extraction, transformation, and loading.
• Leverage Snowflake as the data warehouse solution for managing large volumes of structured and unstructured data.

This is an opportunity to work on complex data engineering projects, collaborating with cross-functional teams to deliver high-quality solutions.

Job Title: Data Engineering Specialist

We are seeking a skilled Data Engineering Specialist to join our team in Dubai.

This is an exciting opportunity for a seasoned professional with expertise in designing, developing, and maintaining robust data pipelines using Python. The ideal candidate will have hands-on experience with Snowflake, SQL databases, and Apache Airflow, as well as strong skills in Shell scripting.

Key Responsibilities:

• Design and develop data pipelines to support business operations and analytics using Python.
• Integrate APIs using Python to fetch, process, and transform data for various use cases.
• Work with SQL databases, including PostgreSQL, MySQL, MS SQL Server, and Oracle, to perform data transformations, migrations, and optimizations.
• Build and manage data warehouses using Snowflake to ensure high performance and scalability.
• Implement and manage workflows using Apache Airflow to automate data pipeline orchestration.
• Develop and maintain Shell scripts to automate tasks and streamline processes.

Requirements:

• Strong proficiency in Python with experience in API integration and data processing.
• Hands-on experience with Snowflake, including schema design, data modeling, and performance optimization.
• Proficiency in Apache Airflow for managing and orchestrating workflows.
• Strong skills in Shell scripting for automation and system management.
• Solid understanding of designing and maintaining ETL/ELT pipelines.
• Strong analytical and problem-solving skills to handle complex data challenges.
• Excellent communication skills to work effectively with cross-functional teams.

Bonus Points:

• Familiarity with cloud-based platforms, such as AWS or Azure.
• Experience with DevOps practices and tools.
• Knowledge of data security best practices.

As a dynamic and innovative organization, we are committed to empowering the next generation of leaders. Our National Graduate Programme is designed exclusively for UAE Nationals, providing an 18-month journey that combines tailored rotations, mentorship, and development opportunities.

In Phase 1, you will explore our business through three customized 3-month rotations, gaining multi-dimensional exposure and practical insights. In Phase 2, you'll dive deeper into a final 9-month strategic assignment, gaining leadership experience, solving real-world challenges, and driving meaningful impact.

Focus Area: Data Engineering

Data Management and Engineering Expertise

Through rotations in Data Engineering, Data Products, and Data Integrity, you will develop expertise in designing, building, and maintaining robust data infrastructures and solutions. You will play a pivotal role in ensuring data quality, accessibility, and actionable insights that support strategic business decisions and innovation.

Requirements:

• Academic background in IT, Information Security, or Data Engineering
• Strong analytical and technical problem-solving skills
• Knowledge of data architecture, pipelines, and governance
• Attention to detail and commitment to data quality
• Passion for leveraging data to drive business value and innovation

Benefits:

• Enriching, real-world assignments
• Leadership exposure and mentorship
• Development opportunities tailored to your journey
• Access to a competitive benefits package including healthcare, child education contributions, remote work flexibility, and exclusive employee discounts

Empowering Emirati Talent:

We believe in the power of diverse perspectives and inclusive workplaces. We are proud to support the development of UAE National talent and are committed to empowering the next generation of leaders.

Shape the Future of Data Engineering

We're seeking a seasoned data engineering expert to lead our efforts in building a cutting-edge data foundation. As a key member of our team, you'll have the opportunity to design and implement scalable data systems that support real-time and batch analytics and operations.

• Data Architecture Expertise : You'll be responsible for architecting data systems that ensure data quality, speed, and scalability, using GCP, Airflow, BigQuery, dbt, and Dataflow.
• Pipeline Development : You'll build end-to-end pipelines to deliver high-quality data products, working closely with cross-functional teams to ensure seamless collaboration.
• Data Governance : You'll establish robust data governance and quality rules to promote transparency, trust, and compliance throughout the organization.
• Leadership and Collaboration : As a leader, you'll work with teams to drive impactful data products and initiatives, fostering a culture of innovation and excellence.

This is an exciting opportunity to join a fast-scaling company and make a meaningful impact on its growth and success. If you're passionate about data engineering and want to take your skills to the next level, we encourage you to apply.

Requirements:

• GCP Expertise : Proven experience with Google Cloud Platform, including BigQuery, Dataflow, Airflow, dbt, and Python.
• Advanced SQL Skills : Strong expertise in advanced SQL querying and performance tuning.
• Collaboration and Leadership : Ability to work effectively with cross-functional teams and lead by example.

What We Offer:

• Autonomy and Ownership : You'll have the freedom to drive strategy and make decisions that impact the company's growth and success.
• Continuous Learning : We prioritize professional development and offer opportunities for growth and learning.

About Us:

We're a dynamic and forward-thinking organization dedicated to delivering innovative solutions and driving business growth. Our mission is to empower our customers with cutting-edge technology and expertise.

Are you an expert in building robust data pipelines? We are seeking a Senior Data Engineer to lead our data engineering efforts and design, build, and maintain reliable data flows.

About the Role

• This is a key position that requires hands-on experience with modern tools and frameworks for data engineering.

Critical outcomes for the next 6–12 months include:

• Establishing robust data quality frameworks and monitoring.
• Building and optimizing end-to-end data pipelines across multiple systems.
• Enabling faster, more reliable insights for analytics and AI-driven projects.

Key Responsibilities:

• Owning the full data pipeline lifecycle, from source integration to data quality validation.
• Building and shipping data infrastructure improvements weekly that unlock business value.
• Proactively identifying data gaps and integration opportunities across our systems.
• Implementing robust data quality checks and monitoring to ensure reliable analytics.

Requirements:

• 6+ years of experience in data engineering, ETL development, or related roles.
• Strong expertise in building and managing data pipelines using modern tools and frameworks.
• Proficiency in SQL, Python, and data workflow orchestration platforms (e.g., Airflow, dbt).
• Experience with cloud data platforms such as AWS, GCP, or Azure.

Benefits:

• Opportunity to work with cutting-edge technologies and innovative solutions.
• Collaborative and dynamic team environment.
• Competitive salary and benefits package.

Join Our Team

We are seeking a skilled Data Engineer to join our team in the UAE.

• Design and develop scalable data models using various techniques such as star schema and snowflake schema.
• Develop and maintain database stored procedures and query language scripts using PL/SQL, Java, and SQL.
• Utilize ETL tools like Informatica and Microsoft SSIS to extract, transform, and load data.
• Work with business intelligence tools such as SAP Business Objects and Microsoft Power BI to create interactive dashboards.
• Have hands-on experience with core banking systems, preferably Finacle HPS or Power Card.

• Strong analytical and problem-solving skills.
• Excellent written and verbal communication skills in English.
• Ability to collaborate effectively within a team environment.

• Understanding of the UAE Banking Regulatory Framework Submissions (BRF).
• Familiarity with the Central Bank of the UAE's Supervisory Technology initiative and its objectives.
• Experience in automating regulatory reporting processes.

The selected candidate will be expected to work full-time on site. The joining time frame is within two weeks.

Terms and Conditions:

The employee must adhere to all company policies and procedures.

Remote Work:

No

Employment Type:

Full-time

We are seeking a seasoned Data Engineer to join our dynamic team. As a key member of our organization, you will be responsible for designing, implementing, and optimizing data pipelines and infrastructure to support cutting-edge AI systems.

Your primary objective will be 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.

Key Responsibilities:

• 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.
• Implement robust data integration processes to seamlessly integrate data from different sources, ensuring consistency, reliability, and data quality for analytics and AI use cases.
• 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.
• 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.
• Implement data governance frameworks to ensure data security, privacy, integrity, and compliance with regulatory requirements, including data encryption, access controls, and auditing.
• 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.

Requirements:

• Pipeline Development: Expertise in designing and implementing complex data pipelines and infrastructure solutions that support advanced analytics and AI initiatives.
• Data Integration: Proficiency in integrating data from various sources, ensuring consistency, reliability, and data quality for analytics and AI use cases.
• Performance Optimization: Ability to optimize data processing and query performance to enhance system scalability, reliability, and efficiency.
• Data Governance: Experience in implementing data governance frameworks to ensure data security, privacy, integrity, and compliance with regulatory requirements.
• Collaboration: Strong communication and collaboration skills to work effectively with cross-functional teams.

Why Join Us?

• 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.
• Culture: Join a culture of curiosity, excellence, and collaboration, where your ideas are valued, and your contributions are recognized and rewarded.

Seniority level : Mid-Senior level

Employment type : Full-time

Job function : Information Technology

Industries : IT Services and IT Consulting

Keyword : DataEngineer

IN Data Engineering & Analytics(IDEA) Team is looking to hire a rock star Data Engineer to build and manage the largest petabyte-scale data infrastructure in India for Amazon India businesses.

IN Data Engineering & Analytics (IDEA) team is the central Data engineering and Analytics team for all A.in businesses. The team's charter includes 1) Providing Unified Data and Analytics Infrastructure (UDAI) for all A.in teams which includes central Petabyte-scale Redshift data warehouse, analytics infrastructure and frameworks for visualizing and automating generation of reports & insights and self-service data applications for ingesting, storing, discovering, processing & querying of the data 2) Providing business specific data solutions for various business streams like Payments, Finance, Consumer & Delivery Experience. The Data Engineer will play a key role in being a strong owner of our Data Platform. He/she will own and build data pipelines, automations and solutions to ensure the availability, system efficiency, IMR efficiency, scaling, expansion, operations and compliance of the data platform that serves 200 + IN businesses. The role sits in the heart of technology & business worlds and provides opportunity for growth, high business impact and working with seasoned business leaders.

An ideal candidate will be someone with sound technical background in managing large data infrastructures, working with petabyte-scale data, building scalable data solutions/automations and driving operational excellence. An ideal candidate will be someone who is a self-starter that can start with a Platform requirement & work backwards to conceive and devise best possible solution, a good communicator while driving customer interactions, a passionate learner of new technology when the need arises, a strong owner of every deliverable in the team, obsessed with customer delight, business impact and 'gets work done' in business time.

Key job responsibilities
1. Design/implement automation and manage our massive data infrastructure to scale for the analytics needs of Amazon IN.

2. Build solutions to achieve BAA(Best At Amazon) standards for system efficiency, IMR efficiency, data availability, consistency & compliance.

3. Enable efficient data exploration, experimentation of large datasets on our data platform and implement data access control mechanisms for stand-alone datasets

4. Design and implement scalable and cost effective data infrastructure to enable Non-IN(Emerging Marketplaces and WW) use cases on our data platform

5. Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL, Amazon and AWS big data technologies

6. Must possess strong verbal and written communication skills, be self-driven, and deliver high quality results in a fast-paced environment.

7. Drive operational excellence strongly within the team and build automation and mechanisms to reduce operations

8. Enjoy working closely with your peers in a group of very smart and talented engineers.

A day in the life
India Data Engineering and Analytics (IDEA) team is central data engineering team for Amazon India. Our vision is to simplify and accelerate data driven decision making for Amazon India by providing cost effective, easy & timely access to high quality data. We achieve this by providing UDAI (Unified Data & Analytics Infrastructure for Amazon India) which serves as a central data platform and provides data engineering infrastructure, ready to use datasets and self-service reporting capabilities. Our core responsibilities towards India marketplace include a) providing systems(infrastructure) & workflows that allow ingestion, storage, processing and querying of data b) building ready-to-use datasets for easy and faster access to the data c) automating standard business analysis / reporting/ dash-boarding d) empowering business with self-service tools to manage data and generate insights.

- 1+ years of data engineering experience
- Experience with SQL
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)
- Experience with one or more scripting language (e.g., Python, KornShell)

- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
- Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability or other legally protected status.