What Jobs are available for Data Warehousing Positions in the United Arab Emirates?

Education

• Master or Bachelor’s degree in computer science, information systems management or related field.
• Solution and Architecture certifications such as TOGAF or other.

• More than 5+ years of experience in information technology, with 2+ years spent in data architecture or technology solutions definitions and implementations.
• Extensive experience in banking and financial services domain

• Expertise in Data Architecture, Data Strategy and Roadmap for large and complex organization and systems and implemented large scale end-to-end Data Management & Analytics solutions
• Experience in transforming traditional Data Warehousing approaches to Big Data based approaches and proven track record of managing risks and data security
• Expertise with DW Dimensional modeling techniques, Star & Snowflake schemas, modeling slowly changing dimensions and role playing dimensions, dimensional hierarchies, and data classification
• Experiences in cloud native principals, designs and deployments.
• Extensive experience working with and enhancing Continuous Integration (CI) and Continuous Development (CD) environments
• Expertise in Data Quality, Data Profiling, Data Governance, Data Security, Metadata Management, and Data Archival
• Define workload migration strategies using appropriate tools
• Drive delivery in a matrixed environment working with various internal IT partners
• Demonstrated ability to work in a fast paced and changing environment with short deadlines, interruptions, and multiple tasks/projects occurring simultaneously
• Must be able to work independently and have skills in planning, strategy, estimation, scheduling
• Strong problem solving, influencing, communication, and presentation skills, self-starter
• Experience with data processing frameworks and platforms (Informatica, Hadoop, Presto, Tez, Hive, Spark etc.)
• Hands-on experience with related/complementary open source software platforms and languages (e.g. Java, Linux, Python, GIT, Jenkins)
• Exposure to BI tools and reporting software (e.g. MS PowerBI and Tableau)

The IT company Andersen invites a Data Architect in Abu Dhabi to join its team for working with a company from the UAE.

The customer is a government entity that manages public affairs and oversees various corporate and philanthropic projects. The company is embarking on a transformative digital journey to enhance its operational efficiency and customer experiences.

The project focuses on digital transformation in the UAE to develop and support digital solutions, enhance social services, strengthen public engagement, advance international relations, and optimize administrative processes.

• Designing and evolving data architecture across ingestion, transformation, storage, and consumption layers.
• Defining data modeling strategies (conceptual, logical, physical) for structured and unstructured data.
• Architecting data lakes and lakehouses (Delta Lake, Iceberg, Hudi) with bronze-silver-gold layering.
• Leading implementation of ETL/ELT pipelines using Airflow, dbt, Talend, Informatica.
• Ensuring data governance, lineage, and metadata management using tools like Apache Atlas, DataHub, Collibra.
• Collaborating with AI/ML teams to prepare data for model training, including feature engineering and data tagging.
• Integrating streaming solutions (Kafka, Flink, Spark Streaming) for real-time data processing.
• Implementing security frameworks: RBAC, row-level security, encryption, GDPR/HIPAA compliance.
• Supporting BI and analytics platforms (Tableau, Oracle Analytics) with well-structured data models.
• Guiding CI/CD for data pipelines, containerization (Docker), and orchestration (Kubernetes).
• Documenting architectural decisions, integration diagrams, and security models.

• Experience in data architecture, data engineering, or solution architecture roles for 8+ years.
• Hands-on expertise with Oracle technologies.
• Strong understanding of data governance, security, and compliance.
• Experience with AI/ML data preparation and orchestration pipelines.
• Excellent communication and documentation skills.
• Bachelor's or Master's degree in Computer Science, Data Science, or related field.
• Level of English – from Upper-Intermediate and above.

• Experience with LLM integration and AI orchestration tools (e.g., Alteryx).
• Familiarity with mobile data consumption architecture.
• Certifications in cloud platforms (Azure, AWS, GCP).

• Experience in teamwork with leaders in FinTech, Healthcare, Retail, Telecom, and others. Andersen cooperates with such businesses as Samsung, Siemens, Johnson & Johnson, BNP Paribas, Ryanair, Mercedes, TUI, Verivox, Allianz, T-Systems, etc.
• The opportunity to change the project and/or develop expertise in an interesting business domain.
• Job conditions – you can work both fully remotely and from the office or can choose a hybrid variant.
• Guarantee of professional, financial, and career growth! The company has introduced systems of mentoring and adaptation for each new employee.
• The opportunity to earn up to an additional 1,000 USD per month, depending on the level of expertise, which will be included in the annual bonus, by participating in the company's activities.
• Access to the corporate training portal, where the entire knowledge base of the company is collected and which is constantly updated.
• Referral program.
• Private health insurance and compensation for sports activities.

Thinking about your next career move? View Andersen’s vacancies and find yours today

Job Type: Contract
Experience: Minimum 15+ years

Job Summary:

We are seeking a highly experienced Data Platform Architect to design and build scalable, high-performance data platforms. The ideal candidate should have a strong background in AWS and other Public cloud services, data engineering, AI platform development, data integrity, and schema design. The role demands expertise in ETL techniques, open-source tools, data migration, and enterprise data architecture.

Key Responsibilities:

• Architect and Design scalable and secure data platforms, ensuring high availability and performance.
• Develop and Optimize data pipelines and ETL processes using modern frameworks and methodologies.
• Implement AI & ML Platforms , ensuring seamless integration with enterprise data ecosystems.
• Ensure Data Integrity & Governance by enforcing best practices for security, compliance, and quality.
• Oversee Data Migration strategies and execution from legacy to modern cloud-based architectures.
• Leverage AWS Services , including but not limited to S3, Redshift, Glue, EMR, Athena, Lambda, DynamoDB, and Kinesis.
• Lead Open Source Adoption , integrating tools like Apache Spark, Airflow, Kafka, and Flink for data processing.
• Collaborate with Cross-Functional Teams including Data Engineers, Data Scientists, and DevOps to streamline data workflows.
• Monitor Performance & Scalability , proactively addressing bottlenecks in data processing and analytics.
• Establish Best Practices for data modeling, schema design, and data architecture across various domains.
• Mentor and Guide engineering teams to enhance data capabilities within the organization.

Required Skills & Qualifications:

• 15+ years of experience in data engineering, data architecture, and cloud-based platforms.
• Expertise in AWS Cloud Services and hands-on experience with data storage, compute, and analytics tools.
• Strong ETL and Data Processing Knowledge , including batch and real-time data streaming.

Tools: Apache NiFi, Talend, Informatica PowerCenter, AWS Glue, Microsoft SSIS, Matillion, Fivetran, Stitch, dbt (data build tool)

• Proficiency in Open-Source Tools like Apache Spark, Hadoop, Airflow, Kafka, Flink, and Presto.
• Deep Understanding of AI & ML Workflows and their integration with data platforms.
• Proven Experience in Data Migration Strategies from on-premises to cloud.
• Expertise in Data Schema Design, Modeling, and Optimization for relational and NoSQL databases.
• Solid Programming Skills in Python, SQL, and Spark.
• Strong Problem-Solving Abilities with an analytical and strategic mindset.
• Excellent Leadership and Communication Skills , capable of working with technical and business stakeholders.

Preferred Qualifications:

• AWS Certified Solutions Architect or AWS Certified Data Analytics Certification.
• Experience working in AI-driven data platforms or MLOps environments .
• Familiarity with Kubernetes, Docker , and CI/CD pipelines for data workflows.

Why Join Us?

• Work with cutting-edge technologies in data and AI.
• Influence key architectural decisions and drive innovation.
• Competitive compensation and benefits package.
• A collaborative and high-performing team environment.

If you are passionate about data platforms and have a strong technical foundation, we invite you to apply and be part of our growing team!

DataOne is looking for a Senior Data Center Architect with extensive experience in designing cutting-edge, large-scale data center facilities. In this role, you will be responsible for the strategic planning of data center spaces, ensuring they meet stringent operational, technical, and regulatory requirements while aligning with the company’s commitment to sustainability and AI-driven innovation. You will collaborate with cross-functional teams—including structural, mechanical, electrical, and project management—to develop architectural solutions that are visually compelling, operationally efficient, and future-ready.

• Develop comprehensive master plans, floor layouts, and site plans for high-tech data centers.
• Establish design concepts balancing aesthetic appeal with operational requirements such as heat management and airflow optimization.
• Ensure space allocations align with rack layouts, cable management strategies, and scalability needs.

Cross-Disciplinary Collaboration

• Work closely with structural, electrical, mechanical, and civil teams to integrate architectural elements seamlessly.
• Coordinate with BIM specialists, data center engineers, and external consultants to align project goals and technical specifications.
• Participate in design reviews and workshops, ensuring architectural plans support both operational and safety standards.

Compliance & Regulatory Adherence

• Ensure designs comply with local zoning laws, building codes, fire safety regulations, and environmental standards.
• Advocate for sustainable architectural solutions, incorporating certifications such as LEED or BREEAM when applicable.
• Manage documentation and approval processes with relevant authorities, securing permits and licenses in a timely manner.

Material & Finish Selection

• Specify materials, finishes, and architectural features that meet mission-critical criteria for durability, safety, and efficiency.
• Evaluate suppliers and products for their environmental impact, aligning choices with DataOne’s sustainability objectives.
• Implement best practices for thermal efficiency, soundproofing, and energy performance in data center environments.

Technical Optimization

• Collaborate with IT and engineering teams to optimize rack placement, accessibility, and cable routing within data halls.
• Develop architectural solutions accommodating high-density computing, AI-driven processes, and advanced cooling systems.
• Innovate space-planning concepts for power distribution and resilience requirements.

Quality Assurance & Documentation

• Review and approve architectural drawings, specifications, and construction documentation to ensure accuracy and project alignment.
• Oversee project milestones for architectural deliverables, providing quality checks and guidance to design and construction teams.
• Maintain up-to-date records of design changes, following strict version control and documentation protocols.
• Mentor junior architects, design technicians, and interns on technical and professional development.
• Contribute to project scheduling, resource allocation, and budgeting for architectural scopes.
• Champion a culture of innovation and continuous improvement in architectural methodologies and sustainability practices.

• Education : Bachelor’s or Master’s degree in Architecture or a related field.
• Experience : 8+ years in architectural design, with significant exposure to data centers or mission-critical facilities. Background in sustainable design principles is highly desirable.
• Technical Skills : Proficiency in AutoCAD and Revit (BIM). Familiarity with 3D modeling tools like SketchUp or Rhino . Ability to use Adobe Creative Suite for high-quality presentations is a plus.
• Soft Skills : Excellent leadership, communication, and problem-solving abilities. Comfortable collaborating in a fast-paced, global environment.
• Certifications : Licensed Architect or equivalent qualification. LEED AP , BREEAM Assessor , or other sustainability certifications are advantageous.

• Innovative Projects : Work on state-of-the-art, AI-enabled data center designs that push the boundaries of architectural and technological possibilities.
• Global Impact : Contribute to sustainable solutions that revolutionize data infrastructure worldwide.
• Collaborative Culture : Join an international team of experts in engineering, sustainability, and construction.
• Growth Opportunities : Access continuous professional development, leadership training, and upward mobility within a rapidly expanding organization.
• Sustainability Focus : Be part of a company dedicated to minimizing environmental impact through cutting-edge architectural and engineering practices.

If you’re a forward-thinking architect passionate about designing innovative, high-performance data centers, we want to hear from you. Apply now and help shape the blueprint of tomorrow’s sustainable digital infrastructure.

Dubai, France, United Kingdom

Permanent

ASAP

Apply now

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Property Monitor is the UAE’s leading real estate technology and market intelligence platform, recently acquired by Dubizzle Group. At Property Monitor, we empower developers, brokers, investors, and property professionals with authoritative data and powerful analytics, enabling them to make faster, smarter, and more informed decisions.

As part of Dubizzle Group, we are alongside five powerhouse brands - including market-leading platforms like Bayut and dubizzle trusted by over 123 million monthly users. Together, these brands shape how people buy, sell, and connect across real estate, classifieds, and services in the UAE and broader region.

The Data Engineer will help deliver world-class big data solutions and drive impact for the dubizzle business. You will be responsible for exciting projects covering the end-to-end data life cycle – from raw data integrations with primary and third-party systems, through advanced data modeling, to state-of-the-art data visualization and development of innovative data products.

You will have the opportunity to build and work with both batch and real-time data processing pipelines. While working in a modern cloud-based data warehousing environment alongside a team of diverse, intense and interesting co-workers, you will liaise with other teams– such as product & tech, the core business verticals, trust & safety, finance and others – to enable them to be successful.

In this role, you will:

• Raw data integrations with primary and third-party systems
• Data warehouse modelling for operational and application data layers
• Development in Amazon Redshift cluster
• SQL development as part of agile team workflow
• ETL design and implementation in Matillion ETL
• Real-time data pipelines and applications using serverless and managed AWS services such as Lambda, Kinesis, API Gateway, etc.
• Design and implementation of data products enabling data-driven features or business solutions
• Data quality, system stability and security
• Coding standards in SQL, Python, ETL design
• Building data dashboards and advanced visualisations in Periscope Data with a focus on UX, simplicity and usability
• Working with other departments on data products – i.e. product & technology, marketing & growth, finance, core business, advertising and others
• Being part and contributing towards a strong team culture and ambition to be on the cutting edge of big data
• Be able to work autonomously without supervision on complex projects
• Participate in the early morning ETL status check rota

Requirements:

• Top of class technical degree such as computer science, engineering, math, physics.
• 3+ years of experience working with customer-centric data at big data-scale, preferably in an online / e-commerce context
• 2+ years of experience with one or more programming languages, especially Python
• Strong track record in business intelligence solutions, building and scaling data warehouses and data modelling
• Experience with modern big data ETL tools is a plus (e.g. Matillion)
• Experience with AWS data ecosystem (or other cloud providers)
• Experience with modern data visualization platforms such as Sisense (formerly Periscope Data), Google Data Studio, Tableau, MS Power BI etc.
• Knowledge of modern real-time data pipelines is a strong plus (e.g. server less framework, lambda, kinesis, etc.)
• Knowledge or relational relational and dimensional data models
• Knowledge of terminal operations and Linux workflows
• World-class SQL skills across a variety of relational data warehousing technologies especially in cloud data warehousing (e.g. Amazon Redshift, Google BigQuery, Snowflake, Vertica, etc.)
• Ability to communicate insights and findings to a non-technical audience

What We Offer:

• A fast paced, high performing team.
• Multicultural environment with over 50 different nationalities
• Competitive Tax-free Salary
• Comprehensive Health Insurance
• Annual Air Ticket Allowance
• Employee discounts at multiple vendors across the emirates
• Rewards & Recognitions
• Learning & Development

Dubizzle Group is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Property Monitor is the UAE’s leading real estate technology and market intelligence platform, recently acquired by Dubizzle Group. At Property Monitor, we empower developers, brokers, investors, and property professionals with authoritative data and powerful analytics, enabling them to make faster, smarter, and more informed decisions.

As part of Dubizzle Group, we are alongside five powerhouse brands - including market-leading platforms like Bayut and dubizzle trusted by over 123 million monthly users. Together, these brands shape how people buy, sell, and connect across real estate, classifieds, and services in the UAE and broader region.

The Data Engineer will help deliver world-class big data solutions and drive impact for the dubizzle business. You will be responsible for exciting projects covering the end-to-end data life cycle – from raw data integrations with primary and third-party systems, through advanced data modeling, to state-of-the-art data visualization and development of innovative data products.

You will have the opportunity to build and work with both batch and real-time data processing pipelines. While working in a modern cloud-based data warehousing environment alongside a team of diverse, intense and interesting co-workers, you will liaise with other teams– such as product & tech, the core business verticals, trust & safety, finance and others – to enable them to be successful.

In this role, you will:

• Raw data integrations with primary and third-party systems
• Data warehouse modelling for operational and application data layers
• Development in Amazon Redshift cluster
• SQL development as part of agile team workflow
• ETL design and implementation in Matillion ETL
• Real-time data pipelines and applications using serverless and managed AWS services such as Lambda, Kinesis, API Gateway, etc.
• Design and implementation of data products enabling data-driven features or business solutions
• Data quality, system stability and security
• Coding standards in SQL, Python, ETL design
• Building data dashboards and advanced visualisations in Periscope Data with a focus on UX, simplicity and usability
• Working with other departments on data products – i.e. product & technology, marketing & growth, finance, core business, advertising and others
• Being part and contributing towards a strong team culture and ambition to be on the cutting edge of big data
• Be able to work autonomously without supervision on complex projects
• Participate in the early morning ETL status check rota

Requirements:

• Top of class technical degree such as computer science, engineering, math, physics.
• 3+ years of experience working with customer-centric data at big data-scale, preferably in an online / e-commerce context
• 2+ years of experience with one or more programming languages, especially Python
• Strong track record in business intelligence solutions, building and scaling data warehouses and data modelling
• Experience with modern big data ETL tools is a plus (e.g. Matillion)
• Experience with AWS data ecosystem (or other cloud providers)
• Experience with modern data visualization platforms such as Sisense (formerly Periscope Data), Google Data Studio, Tableau, MS Power BI etc.
• Knowledge of modern real-time data pipelines is a strong plus (e.g. server less framework, lambda, kinesis, etc.)
• Knowledge or relational relational and dimensional data models
• Knowledge of terminal operations and Linux workflows
• World-class SQL skills across a variety of relational data warehousing technologies especially in cloud data warehousing (e.g. Amazon Redshift, Google BigQuery, Snowflake, Vertica, etc.)
• Ability to communicate insights and findings to a non-technical audience

What We Offer:

• A fast paced, high performing team.
• Multicultural environment with over 50 different nationalities
• Competitive Tax-free Salary
• Comprehensive Health Insurance
• Annual Air Ticket Allowance
• Employee discounts at multiple vendors across the emirates
• Rewards & Recognitions
• Learning & Development

Dubizzle Group is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

8. Education / Qualifications / Professional Training

Bachelor’s Degree in Computer Science or Management with 4+ years of experience in Vertica and equivalent Databases

• Vertica Certification is a plus.
• Experience with data visualization tools (e.g., Power BI, SAP BI, SAS, Tableau) for data reporting and dashboard creation is beneficial.

Above 4 yrs exp required in Vertica Database Functionalities

1. Bachelor’s degree in Computer Science, Information Technology, or a related field.
2. Proven experience as a Data Engineer or similar role with hands-on expertise in designing and managing data solutions in Vertica.
3. Strong proficiency in SQL and experience with data modeling and schema design in Vertica.
4. In-depth knowledge of ETL processes and tools, particularly for data integration into Vertica.
5. Familiarity with other big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure) is advantageous.
6. Understanding of data warehousing concepts and best practices.
7. Experience in performance tuning and optimization of Vertica databases.
8. Familiarity with Linux environments and shell scripting for data-related automation tasks is a plus.
9. Excellent problem-solving skills and the ability to handle large datasets effectively.
10. Strong communication and collaboration skills to work effectively within a team-oriented environment.
11. Self-motivated, with the ability to work independently and manage multiple tasks and projects simultaneously.

About the Role

We are an emerging AI-native product-driven, agile start-up under Abu Dhabi government AND we are seeking a motivated and technically versatile Data Engineer to join our team. You will play a key role in delivering data platforms, pipelines, and ML enablement within a Databricks on Azure environment.

As part of a stream-aligned delivery team, you’ll work closely with Data Scientists, Architects, and Product Managers to build scalable, high-quality data solutions for clients. You'll be empowered by a collaborative environment that values continuous learning, Agile best practices, and technical excellence.

Ideal candidates have strong hands-on experience in Databricks, Python, ADF and are comfortable in fast-paced, client-facing consulting engagements.

Skills and Experience requirements
1. Technical

• Databricks (or similar) e.g. Notebooks (Python, SQL), Delta Lake, job scheduling, clusters, and workspace management, Unity Catalog, access control awareness
• Cloud data engineering – ideally Azure, including storage (e.g., ADLS, S3, ADLS), compute, and secrets management
• Development languages such as Python, SQL, C#, javascript etc. especially data ingestion, cleaning, and transformation
• ETL / ELT – including structured logging, error handling, reprocessing strategies, APIs, flat files, databases, message queues, event streaming, event sourcing etc.
• Automated testing (ideally TDD), pairing/mobbing. Trunk Based Development, Continuous Deployment and Infrastructure-as-Code (Terraform)
• Git and CI/CD for notebooks, data pipelines, and deployments

2. Integration & Data Handling

• Experienced in delivering platforms for clients – including file transfer, APIS (REST etc.), SQL/NoSQL/graph databases, JSON, CSV, XML, Parquet etc
• Data validation and profiling - assess incoming data quality. Cope with schema drift, deduplication, and reconciliation
• Testing and monitoring pipelines: Unit tests for transformations, data checks, and pipeline observability

3. Working Style

• Comfortable leveraging the best of lean, agile and waterfall approaches. Can contribute to planning, estimation, and documentation, but also collaborative daily re-prioritisation
• Able to explain technical decisions to teammates or clients
• Documents decisions and keeps stakeholders informed
• Comfortable seeking support from other teams for Product, Databricks, Data architecture
• Happy to collaborate with Data Science team on complex subsystems

Nice-to-haves

• MLflow or light MLOps experience (for the data science touchpoints)
• Dbt / dagster / airflow or similar transformation tools
• Understanding of security and compliance (esp. around client data)
• Past experience in consulting or client-facing roles

Candidate Requirements

• 5–8 years (minimum 3–4 years hands-on with cloud/data engineering, 1–2 years in Databricks/Azure, and team/project leadership exposure)
• Bachelor’s degree in Computer Science, Data Engineering, Software Engineering, Information Systems, Data Engineering

Job Type: Full-time

Visa, Insurance, Yearly Flight Ticket, Bonus scheme, relocation logistics covered

Interviewing process consists of 2 or 3 technical/behavioral interviews