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Data Engineer (DATABRICKS)Hays · Dubai, United Arab Emirates
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Hays

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Data Engineer (DATABRICKS)

🗓️ Posted 2026-10-16 Dubai, United Arab Emirates Full-time Hybrid ICT
💰 Salary Not shared 📊 Market AED 20,000–AED 35,000/mo

About the Company

Working for your tomorrow At Hays, we believe that the right job can transform a person's life - and the right person can transform a business. From career defining opportunities to complex workforce strategies, we connect ambition with opportunity - helping people and organisations reimagine what's possible. Every year we place over 200,000 professionals into new roles. Whether it's a permanent role or a temporary contract, our specialist consultants provide tailored advice and market intelligence to accelerate careers, from emerging talent to executive leadership. For organisations, our expert teams build recruitment and workforce solutions shaped by real-time market insights, local expertise and the scale of a world leading specialist in white collar hiring. With operations in 30 countries, over 200 offices and 9,500 colleagues worldwide, we fill around 1,000 roles every working day. The future of work isn't something we're waiting for. We're creating it every day. Staffing & Recruiting Specialties: Recruitment, Staffing solutions, Resourcing, Career transition, Recruitment Process Outsourcing (RPO), Onboarding, contract recruitment, Contracting jobs, Hiring, Recruiting, Workforce management, Managed Service Programme

Responsibilities

  • ● Data Engineer (DATBRICKS, BANKING)
  • ● Permanent Position
  • ● As a Databricks Engineer , you will play a key role in designing and building scalable data platforms, modern data pipelines, and intelligent solutions on the latest cloud and Databricks technologies.
  • ● What we are looking for:
  • ● Banking experience
  • ● client facing roles
  • ● Databricks & Spark Development
  • ● Design, develop, and optimize data engineering solutions on Databricks
  • ● Build high-performance Apache Spark jobs using PySpark and Spark SQL
  • ● Data Pipelines
  • ● Build and maintain robust ETL/ELT pipelines using Python, Spark, and Databricks
  • ● Process large-scale structured and semi-structured datasets
  • ● Ensure data quality, reliability, and scalability of pipelines
  • ● Analytics & Enablement
  • ● Create analytics-ready datasets using strong SQL modeling
  • ● Support BI and reporting platforms by delivering accurate and timely data
  • ● Collaborate with analytics teams to understand business requirements
  • ● AI & Advanced Workloads
  • ● Prepare and curate data for AI/ML workloads on Databricks