Senior Data Engineer

As a Senior Data Engineer at Keyrock, you'll join the Central Data Team, a few months old and building the Keyrock Data Platform from the ground up. You'll give the trading desks, wealth and asset management, product, risk, finance, compliance, and research teams the data and context they need to act fast and autonomously. As one of the early hires, you'll shape the platform, standards, and team culture alongside strong partners in Architecture, Infrastructure, and Platform.

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 self-serve tooling such as SDKs, patterns, templates, and AI agents so other teams publish, consume, and build on data products without waiting on you.
• 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 covering stale-feed detection, schema validation, range checks, idempotent writes, lineage, ownership, and self-healing.
• Build the derived analytics the business runs on: cross-exchange spreads, VWAP at depth, and order book microstructure for the desks; portfolio views, exposure, and performance for wealth and asset management.
• Make observability, cost, and performance first-class from day one.
• Treat infrastructure as code using Docker, Terraform, and CI/CD alongside the Central Infrastructure Team.
• Work in the open: write things down and partner closely with Architecture, Infrastructure, Platform, and the rest of the teams.

What you bring

• 8+ years building production data systems that other people rely on.
• Strong proficiency in Python and SQL, including the ability to reason about what the database engine is doing with your queries.
• Code that's easy for someone else to read, test, and delete later.
• Strong understanding of data modelling for both streaming and analytical workloads.
• Experience designing and operating streaming systems on Kafka, Redpanda, MSK, or Kinesis, with opinions about partitioning, consumer groups, offsets, and schema registries.
• Production experience with a time-series store such as ClickHouse, TimescaleDB, or QuestDB, and the ability to talk about table design as a function of query patterns.
• Experience with lakehouse architecture and the ability to reason about table layout, partitioning, and compaction as design choices that shape query performance and storage cost.
• Proficiency with Docker, Terraform, and CI/CD as part of how you work day to day.
• The ability to think about cost and performance early, and to instrument as you build with logs, metrics, and traces from day one.
• Design for data quality and governance up front, covering contracts, validation, lineage, and ownership.
• The ability to reason from first principles when a problem is new, stay pragmatic when it isn't, and update your view when you learn more.
• End-to-end ownership: design, ship, operate, improve.
• Understanding of financial market data including order books, trades, reference data, portfolios, and exposures. Experience with crypto, traditional finance, or both is a strong plus.
• Curiosity about how markets work. Data engineering on its own won't keep you interested here.
• Honesty about what you know and what you don't, and speed at closing the gap.

Nice to have

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

What we offer

• A from-scratch mandate. You'll be among the first hires in the Central Data Team, and the platform, standards, and team culture are yours to shape.
• Strong partners. Close working relationships with Architecture, Infrastructure, Platform, and the desks themselves.
• Autonomy on how you work. Flexible hours, remote-first, and 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.

About Keyrock

Since 2017, Keyrock has grown into a leading market maker and change-maker in the digital asset space, trading on more than 80 venues with 250 team members across 42 nationalities. The company offers market making, options trading, high-frequency trading, OTC, and DeFi trading desks, and is a pioneer in adopting Rust for algorithmic trading. Keyrock supports Web3 startup growth through its Accelerator Program and pushes industry progress through research and governance initiatives.