Data Engineer

Optiver is a market-making institution that improves financial markets by providing liquidity, accurate pricing, increased transparency, and stability. It partners with more than 70 exchanges worldwide.

• Design, build, and optimise data pipelines, models, and data products using Databricks, dbt, SQL, and PySpark;
• Build and maintain semantic models for reporting, self-service analytics, conversational analytics, and Databricks Genie;
• Implement governance capabilities with Unity Catalog, including lineage, access controls, data classification, and data quality standards;
• Contribute to DataHub adoption through metadata management, lineage capture, and data ownership standards;
• Partner with business stakeholders to understand requirements and translate them into production-grade data solutions;
• Drive engineering best practices through testing, CI/CD, documentation, code reviews, and observability;
• Collaborate with technical leads to improve data architecture, engineering standards, and delivery practices.

• 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;
• Experience building scalable data solutions, writing tests as standard practice, and applying strong data modelling judgement;
• Hands-on experience with Databricks, including Delta Lake, Unity Catalog, and PySpark-based development;
• Strong understanding of data modelling, data quality, and trusted business-facing data products;
• Experience implementing governance practices, including access controls, lineage, testing, and CI/CD in modern data engineering environments;
• Strong communication skills and ability to work directly with stakeholders to solve business problems through data;
• No prior trading or financial experience is needed; onboarding supports gaining relevant business knowledge;
• Nice to have: experience working with Finance, People/HR, Procurement, Operations, or similar business data domains.

• Performance-based bonus structure with access to the global profit pool;
• 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;
• Office perks including breakfast, lunch and dinner, barista coffee, in-house physio, chair massages, sports and leisure activities, and Friday afternoon drinks;
• Access to conferences and tech events.