Product Engineer

The role spans the full depth of the platform — from database internals up to the systems that serve data across the product. On any given day you might be:

• Pushing multi-tenant ClickHouse (or equivalent OLAP) clusters to their limits at multi-trillion-row, petabyte scale — designing sharding and replication strategies, building materialised views, and solving genuinely hard performance and cost/efficiency problems most engineers never get to touch.

• Building the tooling and automation that lets data-intensive pipelines scale themselves — smart observability, predictive capacity planning, and systems resilient enough that incidents become rare rather than routine.

• Shaping Data-as-a-Service as a real product — designing a secure, multi-tenant, immutable release architecture, with data made discoverable at scale through catalogue and ontology-driven search, in partnership with the data team.

• Powering agentic AI from the data platform — architecting the data foundations behind MystraAI and designing secure, tenant-scoped access patterns for autonomous agents, partnering closely with the ML team on how our AI systems perform.

• Treating security as a design problem, not a checklist — building tenant isolation, credential management and least-privilege access into the architecture from first principles.

• Setting technical direction, mentoring engineers, and influencing decisions well beyond your own team.

You're a recognised specialist who leads through expertise — principal-level individual-contributor depth combined with the judgement to set standards others follow. You'll bring: