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Dubai Holding
Established in 2004, Dubai Holding is a global investment company with investments in more than 34 countries and a combined workforce of nearly 45,000 individuals.
In line with the vision of Dubai’s leadership and economic diversification strategy, Dubai Holding companies have nurtured sectors, irrevocably transforming Dubai’s socio-economic landscape and positioning Dubai as a diversified, globally integrated economy.
Dubai Holding is committed to the diversification of Dubai’s non-oil economy. Our portfolio, valued at over AED 280+ billion, spans 10 sectors, including real estate, hospitality, leisure & entertainment, ICT, design, education, media, retail, manufacturing & logistics, and science.
For the Good of TomorrowDubai Holding is looking to hire a Data Engineer. The role is responsible for leading the design, development, and maintenance of data solutions that support product teams in leveraging data for their specific needs.
This role involves building and managing data pipelines, data lakes, and data warehouses, ensuring high-quality data delivery, and fostering a culture of process and data quality within development teams while being compliant with data protection/ privacy regulations and policies.
If you are ready to embark on a dynamic journey where your talents are valued, and your contributions make a real impact, we would like to hear from you.
Key Accountabilities:
Data Infrastructure & Pipeline DevelopmentDesign, build, and maintain data pipelines, lakes, and warehouses.
Develop ETL jobs and stored procedures/functions/packages.
Ensure robust data storage and high-quality data delivery.
Technical Guidance & IntegrationOwn and implement ETL operating standards.
Provide guidance on infrastructure for analytics and AI use cases.
Collaborate with backend developers and IT architecture teams for seamless integration.
Product & Stakeholder CollaborationWork with Product Owners to understand and meet data needs.
Translate product requirements into engineering plans and roadmaps.
Gather stakeholder requirements and build architectures aligned with business goals.
Quality & Process ExcellencePromote a culture of process and data quality.
Implement best practices for data management and quality assurance.
Support bug fixing and performance optimization.
Agile Delivery & Team CollaborationAdvocate for agile methodologies and iterative developmentCollaborate cross-functionally to deliver project outcomes.
At least 3-6 years of experience in Data Engineering rolesBachelor’s Degree in a quantitative field (Mathematics, Engineering, Statistics, Science, Data Science/ AI); Advanced degrees preferred.
Experience in Big Data platform like Databricks, Spark, Hive, Palantir Foundry etc.
Experience in implementing AI solutions including OCR, Large Language Models, etc.
Experienced with data modelling, design patterns, building highly scalable and secured analytical solutions.
Proficiency in Python, SQL, PL/SQL, Spark and similar languagesStrong analytical and problem-solving skillsExperience working in a tech/ product environment is a plusBehavioural
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