Software Engineer – Data (Fintech)

TL;DR

Software Engineer – Data (Java/Kotlin/Python): Building and optimizing reference data pipelines for a quantitative research and trading firm with an accent on high-quality, reliable data flows and legacy system modernization. Focus on remapping financial market datasets and upgrading JVM-based architectures to improve performance and maintainability.

Location: London Area, United Kingdom (On-site), with potential for hybrid working.

Company

An elite quantitative research and trading firm managing complex financial market datasets.

What you will do

• Own and enhance data pipelines that process large-scale financial market data
• Modernize legacy JVM-based pipelines into newer, cleaner architectures
• Remap incoming datasets and rewrite ingestion and transformation pipelines
• Work across SQL Server, JVM applications, and Spark-based workloads
• Contribute to data quality, performance, and maintainability improvements

Requirements

• Experience within Financial services is mandatory
• Experience working with Java data pipelines is required
• Strong JVM background (Kotlin, Java, or Scala)
• Proven experience building or modernizing data pipelines
• Solid understanding of SQL and data processing systems
• Comfortable working in complex, performance-sensitive environments

Nice to have

• Exposure to data lakes and large-scale data platforms
• Financial markets or trading data experience

Culture & Benefits

• Engagement with an elite quantitative research and trading firm
• 6-month initial contract with potential for extension
• Onsite default with some flexibility for hybrid working