42 Data Engineering Manager jobs in Dubai

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.

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.

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

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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

• Bachelor's or Master's degree in Computer Science, Information Systems, Data Analytics, or a related field.
• Strong understanding of end-to-end data warehousing concepts, including data modeling, ETL/ELT, and data integration.
• Proficient in Azure Synapse, Databricks, Azure Data Factory, Data bricks, Snowflake and Power BI for modern cloud-based data solutions.
• Skilled in handling structured, semi-structured (JSON, XML), and unstructured data across Azure and AWS platforms.
• Expertise in Power Query and Power M for advanced data transformation and reporting automation.
• Solid grasp of Agile methodologies, functional requirement gathering, and stakeholder communication.
• Familiar with metadata management, data lineage, and data quality principles to ensure trusted analytics.

• 10+ years of experience in designing, implementing, and optimizing end-to-end data warehouse solutions across cloud and on-premise ecosystems.
• Orchestrated end-to-end enterprise DWH solutions using Azure Synapse, Databricks, and ADF, integrating structured and semi-structured data sources while ensuring lineage, auditability, and performance at scale.
• Translated ambiguous business needs into scalable dimensional models and Power BI solutions, leveraging advanced Power Query (M) scripting and DAX for dynamic, self-service analytics.
• Designed and governed hybrid data pipelines across Azure and AWS platforms, ensuring data consistency, compliance, and traceability from ingestion to visualization.
• Collaborated with business stakeholders and engineering teams to define functional KPIs, automate reconciliations, and embed validation rules across ETL and reporting layers.
• Led multi-cloud integration of disparate systems into a unified analytics layer, optimizing transformations through Databricks notebooks, ADF workflows, and parameterized datasets.
• Enabled real-time insights by architecting incremental refresh logic in Power BI and optimizing semantic models with calculated measures, role-level security, and composite models.
• Implemented data observability frameworks across pipelines, leveraging metadata-driven controls to proactively detect anomalies and ensure SLA adherence across reporting layers.

We are seeking an experienced data engineer to build scalable and robust pipelines for unstructured content. The ideal candidate will have hands-on experience in distributed data frameworks, document classification, cleansing, quality metrics, and the ability to work with large language models, vector databases, and Retrieval-Augmented Generation frameworks.

The successful candidate will be responsible for:

• Designing and implementing data processing pipelines for unstructured documents using PySpark and Python.
• Implementing document cleansing, classification, and enrichment techniques to prepare high-quality data for AI/ML applications.
• Developing and integrating data workflows that feed into LLM-based pipelines and support vector-based retrieval using RAG architectures.

Required skills include:

• Strong proficiency in PySpark and distributed data frameworks.
• Excellent knowledge of core Python, including ML/AI libraries (e.g., Transformers, LangChain, Hugging Face, FAISS).
• Proven expertise in processing unstructured data and document intelligence (OCR, NLP, classification, tagging).
• Familiarity with vector databases (e.g., Redis) and embedding models for RAG pipelines.
• Understanding of LLM lifecycle, including fine-tuning, inference, and prompt engineering.

This is a challenging opportunity for a skilled data engineer to make a significant impact on our business. If you are passionate about working with AI/ML technologies and want to join a dynamic team, please apply.

Are you a customer-obsessed builder with a passion for helping customers achieve their full potential Do you have the business savvy Data & AI background and sales skills necessary to help position AWS as the cloud provider of choice for customers Do you love building new strategic and data-driven businesses Join the Worldwide Specialist Organization (WWSO) AI/ML GenAI team as a Geo Specialist Solutions Architect
AWS Sales Marketing and Global Services (SMGS) is responsible for driving revenue adoption and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector.
Key job responsibilities
Represent the voice of the customer; collaborate with field and central teams to bring customer feedback to product teams. Lead curation of custom feature and availability requests for unique customer use cases.
Provide advanced technical knowledge to your aligned GTM teams to unblock our customers largest and most critical business challenges.
Along with your extended team own the technical bar for specialist technical artifacts and standards.
Collaborate with your GTM colleagues to provide technical insights into GTM strategy and support field marketing to execute local technical events campaigns and customer engagements.
Act as a thought leader sharing best practices through forums such as AWS blogs whitepapers reference architectures and public-speaking events such as AWS Summit AWS re: Invent etc.
Guide and Support an AWS internal community of technical subject matter experts aligned to your customers. Create field enablement materials for the broader SA population to help them understand how to integrate new AWS solutions into customer architectures.
A day in the life
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description we encourage candidates to apply. If your career is just starting hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.
Why AWS
Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
Here at AWS its in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledge-sharing mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home theres nothing we cant achieve in the cloud.
About the team
The Worldwide Specialist Organization (WWSO) is part of AWS Sales Marketing and Global Services (SMGS) which is responsible for driving revenue adoption and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. We work backwards from our customers most complex and business critical problems to build and execute go-to-market plans that turn AWS ideas into multi-billion-dollar businesses. WWSO teams include business development specialist and technical solutions architecture. As part of WWSO youll provide expertise across the entire life cycle of an AWS customer initiative from developing ideas for new services to accelerating the adoption of established businesses. We pride ourselves on thinking big delivering exceptional results for our customers and working across AWS as #OneTeam.
- 7 years design/implementation/consulting experience of distributed applications
- 5 years management of technical customer facing resources
- 5 years of AI/ML service area technical experience
- History of successful technical consulting and/or architecture engagements with large-scale customers or enterprises.
- Experience migrating or transforming legacy customer solutions to the cloud.
- Familiarity with common enterprise services and working knowledge of software development tools and methodologies
- Strong written and verbal communication skills with a high degree of comfort speaking with executives IT Management and developers.
- Experience working within software development or Internet-related industries.
- AWS Solution Architecture certification or relevant cloud expertise.
- Computer Science /relevant degree and/or experience highly desired.
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 youre applying in isnt listed please contact your Recruiting Partner.

Required Experience:

Senior IC

Are you a customer-obsessed builder with a passion for helping customers achieve their full potential Do you have the business savvy Data & AI background and sales skills necessary to help position AWS as the cloud provider of choice for customers Do you love building new strategic and data-driven businesses Join the Worldwide Specialist Organization (WWSO) AI/ML GenAI team as a Geo Specialist Solutions Architect!
AWS Sales Marketing and Global Services (SMGS) is responsible for driving revenue adoption and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector.
Key job responsibilities
Represent the voice of the customer; collaborate with field and central teams to bring customer feedback to product teams. Lead curation of custom feature and availability requests for unique customer use cases.
Provide advanced technical knowledge to your aligned GTM teams to unblock our customers largest and most critical business challenges.
Along with your extended team own the technical bar for specialist technical artifacts and standards.
Collaborate with your GTM colleagues to provide technical insights into GTM strategy and support field marketing to execute local technical events campaigns and customer engagements.
Act as a thought leader sharing best practices through forums such as AWS blogs whitepapers reference architectures and public-speaking events such as AWS Summit AWS re: Invent etc.
Guide and Support an AWS internal community of technical subject matter experts aligned to your customers. Create field enablement materials for the broader SA population to help them understand how to integrate new AWS solutions into customer architectures.
A day in the life
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description we encourage candidates to apply. If your career is just starting hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.
Why AWS
Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
Here at AWS its in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledge-sharing mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home theres nothing we cant achieve in the cloud.
About the team
The Worldwide Specialist Organization (WWSO) is part of AWS Sales Marketing and Global Services (SMGS) which is responsible for driving revenue adoption and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. We work backwards from our customers most complex and business critical problems to build and execute go-to-market plans that turn AWS ideas into multi-billion-dollar businesses. WWSO teams include business development specialist and technical solutions architecture. As part of WWSO youll provide expertise across the entire life cycle of an AWS customer initiative from developing ideas for new services to accelerating the adoption of established businesses. We pride ourselves on thinking big delivering exceptional results for our customers and working across AWS as #OneTeam.
- 7 years design/implementation/consulting experience of distributed applications
- 5 years management of technical customer facing resources
- 5 years of AI/ML service area technical experience
- History of successful technical consulting and/or architecture engagements with large-scale customers or enterprises.
- Experience migrating or transforming legacy customer solutions to the cloud.
- Familiarity with common enterprise services and working knowledge of software development tools and methodologies
- Strong written and verbal communication skills with a high degree of comfort speaking with executives IT Management and developers.
- Experience working within software development or Internet-related industries.
- AWS Solution Architecture certification or relevant cloud expertise.
- Computer Science /relevant degree and/or experience highly desired.
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 youre applying in isnt listed please contact your Recruiting Partner.

Required Experience:

Senior IC