26 Data Integration jobs in the United Arab Emirates

The IT Project Manager will be responsible for overseeing the entire project lifecycle of data and system integration projects involving Azure cloud platform and T24 core banking systems.

• Collaborate with business stakeholders, technical teams, and vendors to define project scope, objectives, and deliverables.
• Coordinate resources, create project plans, track progress, and ensure timely delivery.
• Oversee data migration, data governance, ETL, and reporting components in Azure-based environments.
• Facilitate Azure Data Factory, Azure Synapse, and data lake-related activities as part of cloud transformation.
• Ensure alignment of T24 data processes with business rules, regulatory compliance, and reporting standards.
• Monitor risks, issues, and changes; apply mitigation strategies and maintain documentation.
• Communicate project status, updates, and escalations to leadership and stakeholders.
• Manage dependencies between T24 modules, APIs, and data integration platforms.
• Lead Agile ceremonies and coordinate testing, UAT, and deployment activities.

• Proven experience as an IT Project Manager managing data-related projects.
• Strong experience with Microsoft Azure services, especially Data Factory, Data Lake, Synapse, and related services.
• Hands-on experience or strong functional understanding of Temenos T24 (core banking system).
• Solid understanding of data migration, ETL pipelines, data governance, and reporting systems.
• Familiarity with project management methodologies (Agile, Scrum, or Waterfall).

Overview

This is a full-time opportunity to lead our data engineering efforts.

Responsibilities and Skills

• Develop, maintain, and improve large-scale data processing systems using Python and Spark/PySpark.
• Design, build, and operate scalable data pipelines and architectures for data ingestion, processing, and storage.
• Work closely with cross-functional teams to understand business requirements and translate them into technical solutions.
• Collaborate with data scientists and analysts to develop and deploy machine learning models.
• Stay up-to-date with emerging trends and technologies in the field of data engineering.

Requirements

• 7+ years of experience in data engineering or related field.
• Proven expertise in Python programming and Spark/PySpark ecosystem.
• Strong understanding of data modeling, database design, and data warehousing concepts.
• Experience with cloud-based data platforms such as AWS or GCP.
• Excellent communication and collaboration skills.

Benefits

• Competitive salary and benefits package.
• Opportunities for professional growth and development.
• Collaborative and dynamic work environment.

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.

As the Head of Data Engineering, you will be responsible for designing, implementing, and maintaining a robust, scalable, and compliant data architecture that supports our exchange’s operations, analytics, and regulatory reporting requirements. You will lead a team of data engineers, ensuring high availability, security, and performance of our data infrastructure. You will work closely with stakeholders across technology, compliance, risk, and product teams to develop data pipelines, warehouses, and real-time analytics capabilities.

This is a strategic yet hands-on role where you will drive data engineering best practices, scalability, and automation while ensuring compliance with regulatory data requirements for a financial services entity.

Data Architecture & Strategy :

1. Define and own the data architecture strategy for the exchange, ensuring it is scalable, secure, and regulatory-compliant.
2. Design and implement data modeling, governance, and security frameworks to meet financial and regulatory requirements.
3. Architect real-time and batch processing data pipelines to handle trade data, order books, user activity, and market analytics.
4. Optimize data storage and retrieval for performance and cost efficiency, leveraging cloud-based and hybrid solutions.
5. Build and maintain ETL / ELT data pipelines for operational, analytical, and compliance-related data.
6. Ensure high data quality, reliability, and availability through robust monitoring, alerting, and data validation techniques.
7. Manage and enhance data warehouses, data lakes, and streaming platforms to support business intelligence and machine learning use cases.
8. Oversee database design and optimization for transactional and analytical workloads (e.g., Aurora, Redis, Kafka).
9. Implement data lineage, metadata management, and access control mechanisms in line with compliance requirements.

Compliance, Security & Risk Management :

1. Work closely with compliance and risk teams to ensure data retention policies, audit trails, and reporting mechanisms meet regulatory requirements (e.g., FATF, AML, GDPR, MiCA).
2. Implement encryption, anonymization, and access control policies to safeguard sensitive user and transaction data.
3. Support fraud detection and risk monitoring through data analytics and alerting frameworks.

Leadership & Team Management :

1. Lead, mentor, and grow a small team of data engineers, fostering a culture of collaboration, innovation, and accountability.
2. Drive best practices in data engineering, DevOps for data, and CI / CD automation for analytics infrastructure.
3. Collaborate with software engineers, DevOps, data analysis, and product teams to integrate data solutions into the broader exchange ecosystem.

Technical competencies and skills :

1. Proven experience in data architecture and engineering, preferably within a regulated financial or crypto environment.
2. Strong proficiency in SQL, Python, or Scala for data engineering.
3. Experience with cloud-based data platforms (AWS, GCP, or Azure) and orchestration tools (Airflow, Prefect, Dagster).
4. Hands-on experience with real-time data processing (Kafka, Pulsar, Flink, Spark Streaming).
5. Expertise in data warehousing solutions (Snowflake, BigQuery, Redshift, Databricks).
6. Strong understanding of database design, indexing strategies, and query optimization.
7. Experience implementing data governance, lineage, and cataloging tools.
8. Familiarity with blockchain / crypto data structures and APIs is a plus.

Leadership & Strategic Skills :

1. Experience leading and mentoring a team of data engineers.
2. Ability to design data strategies that align with business goals and regulatory requirements.
3. Strong cross-functional collaboration skills with compliance, risk, and technology teams.
4. Ability to work in a fast-paced, high-growth startup environment with a hands-on approach.

Industry & Compliance Knowledge :

1. Experience in regulated financial markets, fintech, or crypto is highly preferred.
2. Familiarity with financial data standards, KYC / AML reporting, and regulatory requirements related to data handling.

Preferred Qualifications :

1. Bachelors or Masters degree in Computer Science, Data Engineering, or a related field.
2. Certifications in cloud data engineering (AWS / GCP / Azure), data governance, or security are a plus.
3. Experience working in a crypto exchange, trading platform, or high-frequency trading environment is an advantage.

At M2, we believe in a workplace where talent, dedication, and passion are the only factors that count, regardless of gender, background, age, and other characteristics. We embrace diversity because we know that it fuels innovation, fosters creativity, and drives success. So, if you're ready to join a team where your potential is truly valued, welcome aboard!

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As the Head of Data Engineering, you will be responsible for designing, implementing, and maintaining a robust, scalable, and compliant data architecture that supports our exchange’s operations, analytics, and regulatory reporting requirements. You will lead a team of data engineers, ensuring high availability, security, and performance of our data infrastructure. You will work closely with stakeholders across technology, compliance, risk, and product teams to develop data pipelines, warehouses, and real-time analytics capabilities.

This is a strategic yet hands-on role where you will drive data engineering best practices, scalability, and automation while ensuring compliance with regulatory data requirements for a financial services entity.

Key Responsibilities

Data Architecture & Strategy :

• Define and own the data architecture strategy for the exchange, ensuring it is scalable, secure, and regulatory-compliant.
• Design and implement data modeling, governance, and security frameworks to meet financial and regulatory requirements.
• Architect real-time and batch processing data pipelines to handle trade data, order books, user activity, and market analytics.
• Optimize data storage and retrieval for performance and cost efficiency, leveraging cloud-based and hybrid solutions.

Data Engineering & Infrastructure :

Compliance, Security & Risk Management :

Leadership & Team Management :

Technical competencies and skills :

Leadership & Strategic Skills :

Industry & Compliance Knowledge :

Preferred Qualifications :

At M2, we believe in a workplace where talent, dedication, and passion are the only factors that count, regardless of gender, background, age, and other characteristics. We embrace diversity because we know that it fuels innovation, fosters creativity, and drives success. So, if you're ready to join a team where your potential is truly valued, welcome aboard!

Seniority level

Seniority level

Not Applicable

Employment type

Employment type

Full-time

Job function

Job function

Other

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As the Head of Data Engineering, you will be responsible for designing, implementing, and maintaining a robust, scalable, and compliant data architecture that supports our exchange’s operations, analytics, and regulatory reporting requirements. You will lead a team of data engineers, ensuring high availability, security, and performance of our data infrastructure. You will work closely with stakeholders across technology, compliance, risk, and product teams to develop data pipelines, warehouses, and real-time analytics capabilities.

This is a strategic yet hands-on role where you will drive data engineering best practices, scalability, and automation while ensuring compliance with regulatory data requirements for a financial services entity.

Data Architecture & Strategy :

• Define and own the data architecture strategy for the exchange, ensuring it is scalable, secure, and regulatory-compliant.
• Design and implement data modeling, governance, and security frameworks to meet financial and regulatory requirements.
• Architect real-time and batch processing data pipelines to handle trade data, order books, user activity, and market analytics.
• Optimize data storage and retrieval for performance and cost efficiency, leveraging cloud-based and hybrid solutions.
• Build and maintain ETL / ELT data pipelines for operational, analytical, and compliance-related data.
• Ensure high data quality, reliability, and availability through robust monitoring, alerting, and data validation techniques.
• Manage and enhance data warehouses, data lakes, and streaming platforms to support business intelligence and machine learning use cases.
• Oversee database design and optimization for transactional and analytical workloads (e.g., Aurora, Redis, Kafka).
• Implement data lineage, metadata management, and access control mechanisms in line with compliance requirements.

Compliance, Security & Risk Management :

• Work closely with compliance and risk teams to ensure data retention policies, audit trails, and reporting mechanisms meet regulatory requirements (e.g., FATF, AML, GDPR, MiCA).
• Implement encryption, anonymization, and access control policies to safeguard sensitive user and transaction data.
• Support fraud detection and risk monitoring through data analytics and alerting frameworks.

Leadership & Team Management :

• Lead, mentor, and grow a small team of data engineers, fostering a culture of collaboration, innovation, and accountability.
• Drive best practices in data engineering, DevOps for data, and CI / CD automation for analytics infrastructure.
• Collaborate with software engineers, DevOps, data analysis, and product teams to integrate data solutions into the broader exchange ecosystem.

Technical competencies and skills :

• Proven experience in data architecture and engineering, preferably within a regulated financial or crypto environment.
• Strong proficiency in SQL, Python, or Scala for data engineering.
• Experience with cloud-based data platforms (AWS, GCP, or Azure) and orchestration tools (Airflow, Prefect, Dagster).
• Hands-on experience with real-time data processing (Kafka, Pulsar, Flink, Spark Streaming).
• Expertise in data warehousing solutions (Snowflake, BigQuery, Redshift, Databricks).
• Strong understanding of database design, indexing strategies, and query optimization.
• Experience implementing data governance, lineage, and cataloging tools.
• Familiarity with blockchain / crypto data structures and APIs is a plus.

Leadership & Strategic Skills :

• Experience leading and mentoring a team of data engineers.
• Ability to design data strategies that align with business goals and regulatory requirements.
• Strong cross-functional collaboration skills with compliance, risk, and technology teams.
• Ability to work in a fast-paced, high-growth startup environment with a hands-on approach.

Industry & Compliance Knowledge :

• Experience in regulated financial markets, fintech, or crypto is highly preferred.
• Familiarity with financial data standards, KYC / AML reporting, and regulatory requirements related to data handling.

Preferred Qualifications :

• Bachelors or Masters degree in Computer Science, Data Engineering, or a related field.
• Certifications in cloud data engineering (AWS / GCP / Azure), data governance, or security are a plus.
• Experience working in a crypto exchange, trading platform, or high-frequency trading environment is an advantage.

At M2, we believe in a workplace where talent, dedication, and passion are the only factors that count, regardless of gender, background, age, and other characteristics. We embrace diversity because we know that it fuels innovation, fosters creativity, and drives success. So, if you're ready to join a team where your potential is truly valued, welcome aboard!

Direct message the job poster from Edison Smart

Position: Head of Data Engineering Location: Dubai/Abu Dhabi (Relocation support available)
Employment Type: Full-Time | Senior Leadership
We are conducting a confidential executive search for a Head of Data Engineering to join one of the world’s fastest-growing digital asset trading platforms, serving millions of users globally with multi-billion daily trading volumes. This is a rare opportunity to lead a world-class data organization, driving scalability, reliability, and innovation in a high-performance environment.
Key Responsibilities:

• Lead and scale the Data Engineering function, overseeing global teams responsible for data pipelines, storage, and real-time processing at massive scale.
• Design and implement a robust, future-proof data architecture to support analytics, AI/ML initiatives, risk management, and next-generation trading products.
• Collaborate with Product, Engineering, Quant, and Business teams to ensure data availability, integrity, and accessibility across all platforms.
• Build and optimize large-scale distributed data systems, ensuring ultra-low latency and high fault tolerance.
• Drive data strategy and best practices, focusing on governance, lineage, and security across all datasets.
• Manage global stakeholders, providing thought leadership in data engineering, tooling, and emerging technologies.
• Hire, mentor, and inspire top-tier data engineering talent to support exponential growth.

• Proven track record leading large-scale Data Engineering organizations (100+ professionals), ideally in fintech, trading, or high-frequency transaction environments.
• Expertise in big data technologies (Spark, Flink, Kafka, Hadoop, Airflow, etc.) and modern data platforms (Snowflake, Databricks, Delta Lake).
• Strong knowledge of data streaming, real-time processing, ETL pipelines, and large-scale distributed systems.
• Deep understanding of cloud infrastructures (AWS, GCP, Azure) and data security practices in highly regulated environments.
• Exceptional leadership skills with experience building global data teams in high-growth, fast-paced organizations.
• Ability to solve complex technical challenges while aligning data strategy with long-term business goals.
• Experience in digital assets, trading platforms, or financial services preferred but not mandatory.
  

• Seniority levelExecutive

• Employment typeFull-time

• Job functionFinance
• IndustriesBanking, Financial Services, and IT Services and IT Consulting

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At General Motors we pride ourselves on designing, building and selling the world's best vehicles. We are seeking a new generation of visionaries to help launch bold engineering and business initiatives, and shape new directions for General Motors. As an intern you will gain hands-on career specific experiences to maximize your real-world potential.

Work Arrangement: This role is categorized as hybrid. This means the successful candidate is expected to report to the office at minimum three times per week or other frequency dictated by the business and two times per week remote.

Your Role:

As a Data Engineering and Analysis Intern, you’ll have the opportunity to gain hands-on experience in data-driven decision-making and contribute to our global sales operations. You will collaborate with senior team members, work on data collection, analysis, and reporting, and help optimize business processes using data science techniques.

What You'll Do:

• Assist in gathering and preparing data from various sources
• Clean, transform, and analyze data to ensure quality and accuracy
• Support data analysis, hypothesis testing, and exploratory data analysis (EDA)
• Help build and validate predictive models using basic machine learning techniques
• Generate reports and create data visualizations to highlight business insights
• Collaborate with cross-functional teams (Sales, Finance, CRM, Omnichannel) to support data-driven solutions
• Contribute to business performance tracking, including dashboards and KPIs
• Participate in training and mentorship opportunities to enhance your technical skills

Your Skills & Abilities:

• Currently undergoing bachelor's or master's degree in data science, Data Engineering, Business Analytics, or a related field
• Basic knowledge of programming languages (Python preferred) and data analysis tools (e.g., SQL, Excel)
• Basic knowledge of data visualization tools (Power BI, Tableau) is a plus
• Completed coursework in AI, machine learning, deep learning, and natural language processing (NLP)
• Worked on academic projects involving generative models (like GPT-3, GANs) or reinforcement learning

What We Offer:

• Mentorship from experienced professionals in business and data
• Exposure to real-world data challenges and solutions
• Opportunity to contribute to meaningful projects that impact business outcomes

Careem is building the Everything App for the greater Middle East, making it easier than ever to move around, order food and groceries, manage payments, and more. Careem is led by a powerful purpose to simplify and improve the lives of people and build an awesome organisation that inspires. Since 2012, Careem has created earnings for over 2.5 million Captains, simplified the lives of over 70 million customers, and built a platform for the region’s best talent to thrive and for entrepreneurs to scale their businesses. Careem operates in over 70 cities across 10 countries, from Morocco to Pakistan.

What You'll Do

• Build a world-class team. Push your team to hone their craft, communicate expectations clearly, and build high trust through regular feedback.
• Drive world-class results. Prioritize mission-critical work, set aggressive timelines, and ensure the best ideas win by fostering an environment where all ideas are challenged.
• Design and develop robust, scalable, and high-performance data pipelines and ETL processes to extract, transform, and load data from various sources into our data warehouse or data lake.
• Monitor, troubleshoot, and resolve issues related to data quality, data consistency, and data integrity, ensuring the reliability and correctness of our data systems.
• Implement and maintain data governance practices and policies, ensuring compliance with data privacy and security regulations.
• Document data engineering processes, data flows, and system architectures to ensure knowledge sharing and maintain an up-to-date repository of technical documentation.
• Work closely with cross-functional teams, including software engineers and infrastructure teams, to optimize data infrastructure and ensure its seamless integration with other systems.

What You’ll Need

• Bachelor's degree in Computer Science, Engineering, or a related field.
• Proven experience as a Data Engineer or in a similar role, working with large-scale data processing and ETL pipelines.
• Experience managing a team for more than 2+ years.
• Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team environment
• Strong programming skills in languages such as Python, Java, or Scala, with experience in data manipulation and processing frameworks like Apache Spark.
• Experience with SQL and database technologies (e.g., relational databases, SQL queries, data modeling).
• Familiarity with data integration and workflow management tools such as Apache Airflow
• Knowledge of data warehousing concepts and experience with data warehousing solutions is highly desirable.
• Strong analytical and problem-solving skills, with the ability to analyze complex data-related issues and propose effective solutions.

What we’ll provide you

We offer colleagues the opportunity to drive impact in the region while they learn and grow. As a full time Careem colleague, you will be able to:

• Work and learn from great minds by joining a community of inspiring colleagues.
• Put your passion to work in a purposeful organisation dedicated to creating impact in a region with a lot of untapped potential.
• Explore new opportunities to learn and grow every day.
• Work 4 days a week in office & 1 day from home, and remotely from any country in the world for 30 days a year with unlimited vacation days per year. (If you are in an individual contributor role in tech, you will have 2 office days a week and 3 to work from home.)
• Access to healthcare benefits and fitness reimbursements for health activities including gym, health club, and training classes.

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