Associate Data Fabric Engineer

Overview

In this role you design, build and operate a secure, open data fabric to support Defence and National Security customers. You’ll enable cross-team data integration and governance across batch, streaming, and analyst-driven workflows, including edge and DDIL environments. You will shape reusable patterns, connectors, and automation to deliver reliable, scalable data services. This is a mission-driven opportunity at a state-of-the-art Farnborough facility that values collaboration and innovation.

Pay / Benefits

• Matched contribution pension scheme with life assurance
• Generous holiday allowance with purchase option
• Health & Private Medical Insurance and Dental Insurance
• Employee discount portal and various insurance options
• Armed Forces Covenant and Defence Employer Recognition Scheme
• Volunteering opportunities

Responsibilities

• Design/implement the event-driven data fabric architecture for automation, ingestion, storage, processing, metadata, governance and access patterns
• Support and operationalize workflow automation for repeatable analyst workflows with guardrails and configurable patterns
• Deliver configurable data integration via curated connectors and standard transformation/routing/enrichment patterns
• Engineer for DDIL and edge deployments with secure configuration distribution and local processing
• Build streaming ingestion, batch/stream processing using distributed technologies and Flink/Spark with repeatable deployments
• Implement metadata, lineage, catalogue capabilities and policy-based security and governance

Key requirements

• Data/platform engineer with production distributed systems experience
• Hands-on with open-source data integration and streaming technologies and configurable integration patterns
• Experience enabling workflow automation for technical users
• Strong data modelling fundamentals, contracts and schema evolution
• Experience designing for reliability, scalability, operability (monitoring, alerting, deployment automation, incident handling, performance tuning)
• Practical security mindset (least privilege, auditability, usable controls)

• Open-source data integration and streaming technologies
• Connectors and reusable integration components
• Workflow automation for technical users
• Data modelling, contracts, and schema evolution
• Reliability, monitoring, deployment automation
• Security controls and governance

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