87 Data Engineering Manager jobs in the United Arab Emirates

The successful Data Architecture Specialist will play a vital role in designing, implementing, and maintaining an organization's data architecture and strategy. This will involve ensuring that data is collected, stored, and processed efficiently and securely to support business intelligence, data analytics, and machine learning operations (MLOps) practices.

This position requires strong technical skills and knowledge of data engineering principles and practices. The ideal candidate will have experience in data warehousing, data modeling, and data integration, as well as expertise in MLOps and machine learning pipelines.

The Data Architecture Specialist will be responsible for:

• Designing robust, scalable data architectures that integrate data from various sources and support diverse analytical needs.
• Implementing data engineering pipelines for data extraction, transformation, and loading (ETL) processes.
• Enabling data intelligence and analytics by building and maintaining data warehouses, data marts, and data lakes.
• Supporting MLOps practices by collaborating with data scientists and machine learning engineers.

To be successful in this role, you will need:

• Extensive experience in data architecture design and implementation.
• Strong knowledge of data engineering principles and practices.
• Expertise in data warehousing, data modeling, and data integration.
• Experience in MLOps and machine learning pipelines.
• Proficiency in SQL and data manipulation languages.
• Experience with big data platforms and cloud-based infrastructure.

We offer a competitive salary package and flexible working hours, allowing you to manage your time effectively. You will also have the opportunity to work remotely and be part of a team that values collaboration and innovation.

We believe in building a positive and collaborative work environment where everyone feels valued and respected. We are committed to attracting talented individuals who share our passion for data architecture and MLOPs, and who are driven to deliver exceptional results.

We perform background checks on all potential employees as a standard part of our recruitment process. If you are a motivated and skilled professional looking for a new challenge, we encourage you to apply for this exciting opportunity.

Designing Data Pipelines and Architectures

A seasoned professional in data management is sought to spearhead the design, development, and maintenance of cutting-edge data pipelines and architectures.

The ideal candidate will possess strong technical skills in Python, SQL, Apache Airflow, PostgreSQL/MySQL, and Git/GitHub/GitLab.

• Develop efficient data storage solutions and optimize performance
• Implement robust data quality and governance practices

The successful candidate will collaborate with data scientists and analysts, automate workflows, monitor data pipelines, ensure data security and privacy, and manage data engineering infrastructure.

Job Title: Delivery Manager, Data Engineering

Team Overview:

The data engineering team is responsible for designing, building, and maintaining the data lake infrastructure. This includes ingestion pipelines, storage systems, and internal tooling for reliable and scalable access to market data.

Key Responsibilities:

• Collaborate with the data engineering team and traders to ensure smooth project execution.
• Manage team tasks, allocate work, monitor progress, track deadlines, and evaluate task execution quality.
• Oversee the team backlog, prioritize tasks, and plan project workflows.
• Develop and improve processes within the team to enhance efficiency and productivity.
• Communicate effectively with other teams and stakeholders to achieve project goals.
• Participate in team assemblies, contribute to their development, and motivate team members.
• Track team performance and maintain comprehensive documentation.

Qualifications:

• 3+ years of experience in a delivery or project management role.
• Strong technical background as a developer, DevOps engineer, etc.
• Experience interacting with stakeholders and managing their expectations.
• Expertise in Kanban and Scrum frameworks and their application in product management and delivery.
• Practical experience with Atlassian products (Jira, Confluence) and BI tools.
• English proficiency at B2 level or higher.

As a strategic and hands-on leader in data architecture, you will oversee the development of our healthcare data platform initiatives on Amazon Web Services (AWS) with a focus on data lake strategy, AI enablement, and regulatory compliance.

• Design and implement an enterprise-wide data architecture strategy that supports interoperability, AI/ML readiness, and regulatory compliance.
• Lead the evolution of our AWS-based data lake architecture to support structured, semi-structured, and unstructured data types, including FHIR-formatted JSON healthcare data.

You will create scalable, secure, and cost-effective data lakes using Amazon S3, AWS Glue, Athena, Redshift, and Lake Formation. Additionally, you will leverage Mountpoint for S3 to enable high-performance, POSIX-compliant access to S3 objects, including vectorized data files.

You will optimize data storage and retrieval strategies for performance and cost-efficiency, including partitioning, file formats (e.g., Parquet, ORC), and compression techniques. Furthermore, you will collaborate with data science teams to implement embedding models, vectorization pipelines, and real-time inference architectures.

You will design and manage vector storage systems (e.g., S3-based, FAISS, Pinecone, or Amazon OpenSearch) to support semantic search, retrieval-augmented generation (RAG), and intelligent data access. You will ensure vectorized data pipelines are aligned with model training, evaluation, and deployment strategies.

Additionally, you will architect systems to ingest, process, and store FHIR-compliant JSON data from EHRs, APIs, and HL7 sources. You will ensure conformance with healthcare interoperability standards and optimize for queryability and downstream analytics.

Finally, you will lead efforts to ensure data security at rest and in transit using AWS-native encryption, IAM, VPC controls, and bucket policies. You will implement and manage data access controls, audit logging, and role-based security models across AWS environments.

Requirements:

• Bachelor's or Master's in Computer Science, Data Engineering, or related field.
• 8–12+ years of experience in data architecture with 3–5 years in a technical leadership role.

This is an independent contractor position.

We are seeking a highly skilled and strategic leader to oversee our data platform initiatives on Amazon Web Services (AWS) with a strong emphasis on healthcare data, data lake strategy, and AI enablement.

This role requires expertise in designing and implementing enterprise-wide data architecture strategies that support interoperability, AI / ML readiness, and regulatory compliance. The ideal candidate will have hands-on experience architecting AWS-based data lakes and analytics pipelines, as well as a deep understanding of healthcare data standards (FHIR, HL7) and working with FHIR JSON objects in large-scale systems.

The Director of Data Architecture will be responsible for leading the evolution of our AWS-based data lake architecture, supporting structured, semi-structured, and unstructured data types—especially FHIR-formatted JSON healthcare data. They will design and maintain scalable, secure, and cost-effective data lakes using Amazon S3, AWS Glue, Athena, Redshift, and Lake Formation.

Main Responsibilities:

• Define and implement an enterprise-wide data architecture strategy that supports interoperability, AI / ML readiness, and regulatory compliance.
• Leverage Mountpoint for S3 to enable high-performance, POSIX-compliant access to S3 objects, including vectorized data files.
• Optimize data storage and retrieval strategies for performance and cost-efficiency, including partitioning, file formats (e.g., Parquet, ORC), and compression techniques.
• Collaborate with data science teams to implement embedding models, vectorization pipelines, and real-time inference architectures.
• Ensure conformance with healthcare interoperability standards and optimize for queryability and downstream analytics.
• Implement data normalization and enrichment pipelines for use in both clinical and operational contexts.

Qualifications:

• Bachelor's or Master's in Computer Science, Data Engineering, or related field.
• 8–12+ years of experience in data architecture with 3–5 years in a technical leadership role.
• Proven experience architecting AWS-based data lakes and analytics pipelines.
• Familiarity with open-source vector databases (e.g., FAISS, Weaviate) and MLOps pipelines.
• Experience in clinical systems integration, claims processing, or population health analytics.

What We Offer:

A competitive compensation package and opportunities for professional growth and development.

Senior Data Architect Position

We are seeking an experienced Senior Data Architect to lead our data platform initiatives on Amazon Web Services (AWS) with a strong emphasis on healthcare data, data lake strategy, and AI enablement.

• Develop and implement an enterprise-wide data architecture strategy that supports interoperability, AI/ML readiness, and regulatory compliance.
• Lead the evolution of our AWS-based data lake architecture, supporting structured, semi-structured, and unstructured data types—especially FHIR-formatted JSON healthcare data.
• Design and maintain scalable, secure, and cost-effective data lakes using Amazon S3, AWS Glue, Athena, Redshift, and Lake Formation.
• Leverage Mountpoint for S3 to enable high-performance, POSIX-compliant access to S3 objects, including vectorized data files.
• Optimize data storage and retrieval strategies for performance and cost-efficiency, including partitioning, file formats (e.g., Parquet, ORC), and compression techniques.
• Collaborate with data science teams to implement embedding models, vectorization pipelines, and real-time inference architectures.
• Design and manage vector storage systems (e.g., S3-based, FAISS, Pinecone, or Amazon OpenSearch) to support semantic search, retrieval-augmented generation (RAG), and intelligent data access.
• Ensure vectorized data pipelines are aligned with model training, evaluation, and deployment strategies.
• Architect systems to ingest, process, and store FHIR-compliant JSON data from EHRs, APIs, and HL7 sources.
• Ensure conformance with healthcare interoperability standards and optimize for queryability and downstream analytics.
• Implement data normalization and enrichment pipelines for use in both clinical and operational contexts.
• Lead efforts to ensure data security at rest and in transit using AWS-native encryption, IAM, VPC controls, and bucket policies.
• Implement and manage data access controls, audit logging, and role-based security models across AWS environments.
• Oversee data governance including lineage, cataloging, and stewardship with tools such as AWS Glue Data Catalog, Lake Formation, or third-party platforms.
• Built and lead a high-performing team of data architects and engineers.
• Work closely with stakeholders from engineering, data science, product, and compliance teams to deliver data initiatives.
• Promote data literacy and foster a culture of innovation and continuous improvement.

4 weeks ago Be among the first 25 applicants

BlackStone eIT is at the forefront of data-driven decision-making and innovation. We are currently looking for a talented and motivated Data Architect to join our dynamic team. As a Data Architect at BlackStone eIT, you will play a critical role in designing and implementing data solutions that support our strategic goals and enhance our clients' business processes.
Your responsibilities will include creating robust data architectures, ensuring data quality and integrity, and optimizing data flow across various systems. You will collaborate closely with stakeholders to understand their data needs and translate them into effective technical solutions. This position requires a mix of strong technical skills and the ability to communicate effectively with both technical and non-technical team members.
Key Responsibilities

• Design, develop, and manage scalable data architectures aligned with business goals
• Create and maintain data models, data flows, and integrated data solutions
• Collaborate with data engineers and data analysts to ensure seamless data integration and quality
• Implement data governance and best practices for data management
• Optimize database performance, ensuring efficient data storage and retrieval
• Stay current with emerging trends and technologies in data architecture
• Provide technical guidance and support to cross-functional teams
  

• Bachelor's or Master's degree in Computer Science, Information Systems, or a related field
• 5+ years of experience in data architecture or a related role
• Strong knowledge of data modeling concepts, database design, and data management best practices
• Experience with SQL and NoSQL databases
• Familiarity with ETL/ELT processes and data integration tools
• Excellent problem-solving skills and attention to detail
• Effective communication and collaboration skills
• Ability to work in a fast-paced environment and manage multiple priorities
  

• Paid Time Off
• Performance Bonus
• Training & Development

• Seniority levelMid-Senior level

• Employment typeContract

• Job functionInformation Technology
• IndustriesIT Services and IT Consulting

Referrals increase your chances of interviewing at BlackStone eIT by 2x

Get notified about new Data Specialist jobs in Dubai, Dubai, United Arab Emirates.

Global Village, Dubai, United Arab Emirates 2 days ago

Dubai, Dubai, United Arab Emirates 20 hours ago

Dubai, Dubai, United Arab Emirates 23 hours ago

Dubai, Dubai, United Arab Emirates 17 hours ago

Dubai, Dubai, United Arab Emirates 17 hours ago

Dubai, Dubai, United Arab Emirates 17 hours ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

Data Engineering team is responsible for
designing building and maintaining the Data Lake infrastructure
including ingestion pipelines storage systems and internal tooling
for reliable scalable access to market
data.

Responsibilities

• Strong
  collaboration with the Data Engineering team
  Traders
• Team management: task allocation and
  monitoring of their progress tracking deadlines and task execution
  quality.
• Managing the team backlog: evaluation
  planning and task prioritization.
• Creating and
  improving processes within the
  team.
• Interacting with other teams and internal
  stakeholders.
• Participation in team assembly
  its development and motivation.
• Budget
  Management.
• Performance
  tracking.
• Creating and maintaining
  comprehensive team
  documentation.

Qualifications
:

• Relevant
  experience of 3 years in a Delivery or Project Manager
  role.
• Strong technical background (as a
  developer DevOps etc.).
• Experience in
  interacting with stakeholders and managing their
  expectations.
• Expert in Kanban and Scrum
  frameworks and their application in Product Management and
  Delivery.
• Practical experience with Atlassian
  products: Jira Confluence.
• Practical experience
  with BI tools.
• English proficiency at the B2
  level or
  higher.

Additional
Information :

What we
offer:

• Work in a modern
  international technology company without bureaucracy legacy systems
  or technical debt.
• Excellent opportunities for
  professional growth and
  self-realization.
• Remote work from anywhere in
  the world with a flexible
  schedule.
• Compensation for health insurance
  sports activities and professional
  training.

Remote
Work :

Yes

Employment
Type :

Full-time

Key Skills
Project Management
Methodology,Kanban,Project / Program
Management,Agile,Waterfall,Project Leadership,Application
Development,Project Management,Scrum,Microsoft Project,SDLC,Project
Implementation
Department / Functional Area:
Business Operations
Experience:
years
Vacancy:
1

Data Engineering team is responsible for
designing building and maintaining the Data Lake infrastructure
including ingestion pipelines storage systems and internal tooling
for reliable scalable access to market
data.

Responsibilities

• Strong
  collaboration with the Data Engineering team
  Traders
• Team management: task allocation and
  monitoring of their progress tracking deadlines and task execution
  quality.
• Managing the team backlog: evaluation
  planning and task prioritization.
• Creating and
  improving processes within the
  team.
• Interacting with other teams and internal
  stakeholders.
• Participation in team assembly
  its development and motivation.
• Budget
  Management.
• Performance
  tracking.
• Creating and maintaining
  comprehensive team
  documentation.

Qualifications
:

• Relevant
  experience of 3 years in a Delivery or Project Manager
  role.
• Strong technical background (as a
  developer DevOps etc.).
• Experience in
  interacting with stakeholders and managing their
  expectations.
• Expert in Kanban and Scrum
  frameworks and their application in Product Management and
  Delivery.
• Practical experience with Atlassian
  products: Jira Confluence.
• Practical experience
  with BI tools.
• English proficiency at the B2
  level or
  higher.

Additional
Information :

What we
offer:

• Work in a modern
  international technology company without bureaucracy legacy systems
  or technical debt.
• Excellent opportunities for
  professional growth and
  self-realization.
• Remote work from anywhere in
  the world with a flexible
  schedule.
• Compensation for health insurance
  sports activities and professional
  training.

Remote
Work :

Yes

Employment
Type :

Full-time

Key Skills
Project Management
Methodology,Kanban,Project / Program
Management,Agile,Waterfall,Project Leadership,Application
Development,Project Management,Scrum,Microsoft Project,SDLC,Project
Implementation
Department / Functional Area:
Business Operations
Experience:
years
Vacancy:
1