Senior Data Engineer

We're looking for a Senior Data Engineer to join our team in Abu Dhabi, United Arab Emirates in an onsite working mode. This role involves working on a large-scale data platform migration using modern data technologies and building production-ready pipelines in a dynamic delivery environment. You will be part of a dedicated engineering team focused on high-impact work that requires strong hands-on expertise.

Responsibilities

• Build, optimize and productionize data pipelines on Databricks using PySpark and SQL
• Re-engineer and migrate transformation logic from a legacy platform to Databricks
• Design and perform data validation and reconciliation to ensure accuracy across platforms
• Tune performance through partitioning, Delta optimization, cluster configuration and ingestion strategies
• Contribute to medallion-layer design and implement data quality frameworks
• Review code and mentor junior engineers to promote best practices
• Work within Git-based CI/CD setups and follow Agile delivery processes

Requirements

• 7+ years of data engineering experience with recent hands-on delivery
• Strong proficiency with Databricks platform, PySpark, SQL and Delta Lake
• In-depth knowledge of ingestion patterns, Spark performance tuning and partitioning strategies
• Solid SQL expertise with practical ability to write and validate queries
• Experience in data migration or re-platforming projects
• Professional-level English communication skills
• Bachelor's degree in computer science, information technology or a related field

Nice to have

• Databricks Certified Data Engineer Professional certification
• Familiarity with Palantir Foundry
• Background in financial services or asset management
• Experience with Unity Catalog governance
• Knowledge of large-scale data quality or reconciliation frameworks