Senior Data Engineer

The Central Data Team (CDT) is only a few months old, but data has been the company's lifeblood since day one. We're now building the Data Platform to give team members, and the AI agents working alongside them, the data and context they need to act fast and autonomously within agreed boundaries and aligned with our shared goals. Doing that means taking data from across the company and making sense of it in real-time for all the functions that depend on it: trading desks, wealth and asset management, product, risk, finance, compliance, and research to name a few.

You'd be one of the early hires in CDT and we expect you to contribute to most of the bigger decisions and build work. The standards we settle on and the way the team ends up working are still open.

What You’ll Do

• Build streaming and batch pipelines that ingest, normalise, and distribute market, trading, and portfolio data, resilient to feed and exchange failures.
• Build the self-serve tooling (SDKs, patterns, templates, AI agents) so other teams publish, consume, and build on data products without waiting on us.
• Own data contracts and schema evolution. Keep schema changes from turning into multi-team coordination events.
• Design the lakehouse and time-series layer around consumer query patterns.
• Build and evolve the Data Governance and Data Quality Framework: stale-feed detection, schema validation, range checks, idempotent writes, lineage, ownership, self-healing.
• Build the derived analytics the business runs on: cross-exchange spreads, VWAP at depth, order book microstructure for the desks; portfolio views, exposure, performance for wealth and asset management.
• Make observability, cost, and performance first-class from day one.
• Treat infrastructure as code (Docker, Terraform, CI/CD) alongside our Central Infrastructure Team.
• Work in the open: write things down, partner closely with Architecture, Infrastructure, Platform, and the rest of the teams.

What We’re Looking For

• 8+ years of building production data systems that other people rely on.
• Strong proficiency in Python and SQL: not just being able to write a query, but being able to reason about what the engine is doing with it.
• Code that's easy for someone else to read, test, and delete later.
• Strong understanding of data modelling for both streaming and analytical workloads.
• Efficiency, quality, idempotency, and observability are taken seriously by default.

Nice to Have

• Lakehouse experience with Apache Iceberg or Delta Lake.
• Familiarity with DataHub or similar metadata/lineage platforms.
• Rust. Some of our performance-critical services are written in it. Interest is welcome; fluency isn't required.

What You’ll Get

• A from-scratch mandate. You'll be among the first hires in CDT, and the platform, the standards, and the team culture are yours to shape with us.
• Strong partners. Close working relationships with Architecture, Infrastructure, Platform, and the desks themselves. You won't be building data in a vacuum.
• Autonomy on how you work. Flexible hours, remote-first, business-hours on-call shared across the team.
• A competitive salary package, with various benefits.
• A team that likes each other. Regular online get-togethers and a yearly onsite where everyone's in the same room.

Our Recruitment Process
We’re after those with the right skills and a conscious choice to join our field. The perfect fit? Someone who’s driven, collaborative, acts with ownership, and delivers solid, scalable outcomes. As an employer, we are committed to building a positive and collaborative work environment. We welcome employees of all backgrounds and hire, reward, and promote entirely based on merit and performance. Due to the nature of our business and external requirements, we perform background checks on all potential employees, passing which is a prerequisite to join the company.