8 Data Warehouse jobs in the United Arab Emirates
Data Warehouse Engineering Manager
Posted today
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Job Description
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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#J-18808-LjbffrData Warehouse Specialist (Emiratisation)
Posted 7 days ago
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• Strong relational and dimensional data modelling and database design skills • Extensive experience with data management and data security from data warehouse implementation perspective Version: 1.0 18-Jul-25 Page 3 of 3 • Hands-on and proven experience in the following technologies: SQL HA configuration, MS SQL, Oracle, SSIS, SSRS, GitLab, GitHub, DevOps, REST/SOAP API integration, CI/CD and pipeline configuration, Microservices, Docker, Kubernetes, SQL query, PowerBI, DAX, Power Query • Working knowledge of model-based development • Customer-oriented with excellent interpersonal communication skills • Highly effective analytical, decision-making, and written/verbal communication skills • Ability to investigate complex business problems, develop effective recommendations, negotiate and/or present solutions, and resolve problems in a highly professional and tactful manner
Requirements
• Bachelor’s degree in computer science or related field; or an equivalent combination of education and relevant business experience • 7+ years of experience in complex data warehouse implementations and management of business intelligence solutions. • Data Warehouse skills
About the company
The Adecco Group is the worlds leading talent advisory and solutions company. We proudly make a difference in the working lives of 3.5 million people every year. Our culture is entrepreneurial and inclusive, and we are united by our passion for making a difference in the world of work. We work with over 100,000 organizations in 60 countries, enabling their success. We have 35,000 people working with us across more than 60 countries and territories. Adecco has been rapidly growing in the Middle East since 2008, developing a substantial footprint throughout the region. We work across 250 different clients, Adecco has more than 62 full time employees, working in 4 offices, servicing all countries across the GCC region. We offer Temporary Staffing, Permanent Placement, Executive Search, Assessments, Visa And Payroll, Outsourcing, PRO Solutions customised as per client requirements. Adecco Middle East Head Office is based in Dubai with a branch at Abu Dhabi.
Data Modeling Strategist
Posted today
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We are seeking a skilled Quantitative Researcher to conduct market research, design trading strategies and collaborate with colleagues to refine and optimize these strategies.
Key Responsibilities:
- Conduct extensive market research to identify new trading opportunities and develop effective trading strategies
- Design and implement proof-of-concept trading strategies based on market research findings
- Research and analyze existing trading strategies to enhance risk-adjusted returns and adapt to changing market conditions
- Minimum 2 years of experience in Quantitative Research/Trading, with specialization in spreads/option strategies
- Experience with market-making trading strategies
- Strong knowledge of statistical analysis, data mining, and predictive modeling
- Understanding of market microstructure
- Experience with using L2 / L3 market data for research
- Exceptional quantitative and mathematical skills, adept problem-solving
- Proficient in any research-oriented programming language (Python preferred), ability to write efficient code
- Strong collaborative spirit, work ethics and a determined drive for success; ability to work both independently and as part of a team
- Strong communication skills, with the ability to clearly explain complex ideas
Data Modeling Specialist
Posted today
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Develop and deploy models for European markets using Python, Julia, Golang/C#.
Work closely with researchers and traders to develop models, tools, and analytics solutions that improve scalability and performance.
Built and maintain tools to analyze model results, monitor them, and make informed trading decisions.
Requirements:- 2+ years of working experience, preferably in commodity markets.
- Strong programming skills (Python, SQL, NoSQL, and one of GoLang/C#/C++).
- Focus on performance, reliability, and effective prioritization of multiple projects.
- Ability to work independently and detail-oriented.
- Experience in deploying models to the cloud and optimizing their performance.
- Experience developing UIs to analyze and monitor model/strategy performance.
- Experience with Julia programming language.
Telecom Data Modeling Specialist
Posted today
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Job Description
We are seeking an experienced Telecom Data Modeling Specialist to join our team. As a key member of our analytics and operational systems, you will design and maintain scalable data models to support business needs.
Key Responsibilities- Develop conceptual logical and physical data models aligned with telecom business requirements.
- Translate telecom specific requirements usage analytics churn billing network KPIs into efficient data structures.
- Collaborate with data engineers to implement models across data warehouses and lakes.
- Ensure data consistency traceability and compliance across systems.
- 5 plus years of experience in data modeling with at least 2 years in telecom domain.
- Proficient with modeling tools like Erwin or ER Studio.
- Strong knowledge of relational and dimensional modeling techniques.
- Familiarity with telecom data sources CDRs OSS BSS systems.
- Excellent analytical and communication skills.
This role offers a unique opportunity to work with a talented team and contribute to the development of cutting-edge data models.
Data Modeling and Business Intelligence Professional
Posted today
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Job Title: Data Modeler and Business Insights Specialist
Job Summary:
The Data Modeler and Business Insights Specialist will design, develop, and maintain scalable data models to support telecom analytics and operational systems. This role requires a strong understanding of telecom data domains, including subscribers, call detail records (CDRs), plans, and usage metrics.
Key Responsibilities:
- Develop conceptual, logical, and physical data models aligned with telecom business needs.
- Translate telecom-specific requirements, usage analytics, churn, billing, network KPIs into efficient data structures.
- Collaborate with data engineers to implement models across data warehouses and lakes.
- Ensure data consistency, traceability, and compliance across systems.
- Maintain metadata, data dictionaries, and modeling documentation.
Required Skills and Qualifications:
- 5+ years of experience in data modeling with at least 2 years in the telecom domain.
- Proficient with modeling tools like Erwin or ER Studio.
- Strong knowledge of relational and dimensional modeling techniques.
- Familiarity with telecom data sources, CDRs, OSS, BSS systems.
- Excellent analytical and communication skills.
Senior Data Analyst - Predictive Modeling
Posted today
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As a key member of our team, you will be responsible for developing high-quality predictive signals through data analysis and statistical modeling.
Key Responsibilities:- Create advanced statistical models to identify patterns and opportunities in large datasets.
- Leverage machine learning techniques to optimize signal performance and accuracy.
- Develop and implement data-driven strategies to drive business growth.
- Collaborate with cross-functional teams to design and deploy system-wide solutions.
- Advanced degree in a quantitative field such as data science, statistics, mathematics, or engineering.
- Expertise in machine learning, NLP, and AI techniques is highly desirable.
- Proficiency in coding languages such as Python, R, or C++.
- Experience working with large datasets and exploring complex problems.
- Strong analytical and problem-solving skills.
- Excellent communication and collaboration skills.
A dynamic work environment that fosters innovation and creativity. Opportunities for professional growth and development. A competitive compensation package.
We are an equal opportunity employer committed to diversity and inclusion. We welcome applications from candidates with diverse backgrounds and experiences.
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Data Analytics and Risk Modeling Specialist
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Job Title: Senior Associate Model Implementation and Data Management
- Manage risk data, including capturing, organizing, storing, and analyzing for development, validation, and implementation of Risk Rating Models and Scorecards.
- Conduct risk analytics and generate comprehensive risk reports.
- Provide advanced quantitative analytics support to the overall Risk Management function.
- Formulate management techniques for quality data collection to ensure adequacy, accuracy, and legitimacy of data.
- Engage in Risk Architecture projects, including implementation of various risk IT applications, data analytics, data flows, standards, and processes.
- Have strong knowledge of Information Technology systems, Risk Management systems, tools, applications, and relational database management system. Software development and ability to code.
- Develop and implement AI analytics to analyze risk data. Use machine learning techniques to identify patterns, trends, and potential risks, including exploration, data analysis, and data quality and trend assessment.
- Design data tracking and monitoring tools. Analyze and validate data ensuring data security.
- Assure all data management and AI analytics practices comply with relevant regulations and organizational policies.
- Manage and maintain data for risk models implementation and scorecards development.
- Oversee Credit Risk management processes, including Basel II and IFRS 9 compliance.
- Conduct risk analytics and generate comprehensive risk reports.
- Utilize statistical tools such as SAS, R, and Python for data analysis and model development.
- Write advanced SQL queries to extract, manipulate, and analyze data.
- Develop and implement data science, machine learning, and artificial intelligence solutions to enhance risk management processes.
- Apply techniques such as generative AI, classification, regression, clustering, and other related methods.
- Collaborate with cross-functional teams to ensure data integrity and accuracy.
- Communicate findings and insights effectively to stakeholders.
- Foster a collaborative and team-oriented work environment.
- Stay updated with industry trends and advancements in AI and data analytics.
- Continuously seek opportunities to enhance risk management processes.