Contract Data Engineer (JVM / Kotlin / Python)
6-month initial contract | Onsite (potential for hybrid)
An elite quantitative research and trading firm is looking for a Contract Data Engineer to join a Reference Data Engineering team supporting critical research and trading use cases.
This team owns complex financial market datasets that describe how markets are structured and behave, and plays a key role in ensuring high-quality, reliable data flows across the organisation.
What you’ll be doing
• Owning and enhancing data pipelines that process large-scale financial market data
• Modernising existing data flows, upgrading legacy JVM-based pipelines into newer, cleaner architectures
• Remapping incoming datasets and rewriting ingestion and transformation pipelines
• Working across SQL Server, JVM applications, and Spark-based workloads
• Contributing improvements to data quality, performance, and maintainability
Tech environment
• Kotlin & Spring Boot for core data processing services
• Python for tooling and automation
• Legacy systems in C# and Scala / Spark
• Exposure to data lakes and large-scale data platforms is a strong plus
What they’re looking for
• Strong JVM background (Kotlin, Java, or Scala)
• Experience building or modernising data pipelines
• Solid understanding of SQL and data processing systems
• Comfortable working in complex, performance-sensitive environments
• Financial markets or trading data experience is beneficial but not essential
6-month initial contract with potential to extend. Onsite by default, with some flexibility for hybrid working.
Happy to share more detail with interested candidates — drop me a message.