The RoleYou'll be involved in both core product development and complex customer implementations, working on technically challenging problems across distributed data systems.

• Your responsibilities will include:Developing and improving distributed data processing and query execution capabilities.
• Writing production code using Apache Spark and JVM-based technologies.
• Investigating query performance, execution behaviour and optimisation opportunities.
• Working on data federation, query pushdown and connector frameworks.
• Troubleshooting complex performance, scalability and reliability issues.

• What We're Looking ForStrong commercial software engineering experience, ideally 7–12+ years.
• A genuinely hands-on engineer who is still regularly writing and debugging production code.
• Strong experience building enterprise software products, distributed systems or data services.
• Practical, hands-on experience with Apache Spark, ideally including performance tuning and understanding execution behaviour.
• Strong JVM development experience using Scala, Java or Kotlin.
• Solid understanding of distributed processing, SQL and performance optimisation.
• Experience working with complex data platforms, query engines or distributed data infrastructure.

• Particularly relevant backgrounds include engineers who have worked on:Distributed data platforms and query engines.
• Database internals, query processing or data federation.
• Enterprise software products with significant data processing requirements.
• Streaming, distributed processing or large-scale data services.