Full job description Contract Details:
*Duration: 6 months (likely to extend!)
*Location: London - 3 days onsite per week
*Contract engagement: Inside IR35
*Budget: To be discussed with suitable candidate
Role:
We are partnering with a leading Financial Markets organisation providing clearing services for credit derivatives across global markets, seeking a Principal Risk Datastore Engineer to lead the design and delivery of a mission-critical risk data platform.
This is a hands-on engineering role focused on market and historical time-series data supporting risk calculations, simulations and analytics. We are looking for someone with strong Java and data platform experience who can build highly reliable, scalable and auditable systems within a regulated environment.
The ideal candidate will be technically strong, proactive and comfortable taking ownership of architecture, engineering standards and complex technical decisions.
Responsibilities:
*Lead technical design and delivery across the full SDLC.
*Build reliable batch-processing services for market and historical data.
*Design durable, searchable data stores and publish trusted datasets downstream.
*Ensure risk outputs are traceable and reproducible.
*Implement controls around configuration changes, validation and reprocessing.
*Improve performance, scalability, resilience and recovery.
*Work closely with infrastructure, security, DevOps and Quant Risk teams.
*Support production operations and an on-call rota when required.
*Set engineering standards, review designs and drive technical decisions.
Key Skills
*Strong experience building data-intensive, batch-processing platforms, ideally using market or time-series data.
*Advanced Java 11+ development, with Java 17+ preferred.
*Strong Spring/Spring Boot experience.
*Experience with durable data stores and data publishing to platforms
*Strong understanding of data schemas, schema evolution and retention.
*Experience building systems with strongperformance, scalability, resilience, recovery and auditability.
*Experience working in regulated or tightly controlled environments.
*Strong ownership of software quality and maintainability.