Senior Data Engineer

Requirements

• 8+ years of experience designing and building production data pipelines, data models, and analytical data solutions
• Advanced SQL skills with strong hands-on experience using dbt, PySpark, or both
• Hands-on experience with Databricks, including Delta Lake, Unity Catalog, and PySpark-based development
• Strong understanding of data modelling, data quality, and building trusted business-facing data products
• Experience implementing governance practices within modern data engineering environments
• Experience working with Finance, People/HR, Procurement, Operations, or similar business data domains is advantageous
• Strong communication skills and the ability to work directly with stakeholders

What You'll Be Doing

• Design, build, and optimize data pipelines, models, and data products
• Build and maintain semantic models for reporting and analytics
• Implement governance capabilities using Unity Catalog
• Contribute to DataHub adoption through metadata management
• Partner with business stakeholders to translate requirements into data solutions
• Drive engineering best practices through testing, CI/CD, documentation
• Collaborate with technical leads to improve data architecture and delivery practices

Perks and Benefits

• Performance-based bonus structure
• Opportunity to work alongside professionals from over 50 countries
• 25 paid vacation days in the first year, increasing to 30 from the second year onwards
• Training opportunities and discounts on health insurance
• Fully paid first-class commuting expenses
• Extensive office perks including meals, coffee, physio, sports activities, and more
• Training and continuous learning opportunities, including access to conferences and tech events