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Senior Data Engineer

Keyrock· Data
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Brussels, Rome, Barcelona, Zug, Porto, Cape Town, Istanbul, Eindhoven, Geneva, Milan, Amsterdam, Manama, Madrid, London, Dubai, Berlin, Antwerp, Copenhagen, Vienna, Prague, Athens, Budapest, Paris, Frankfurt, Dublin, Warsaw, Sofia, Luxembourg, Remote, Zurich, Abu Dhabi, Lisbon, Tallinn, London OR Brussels, Seychelles, Rotterdam, Krakow, Johannesburg, ZagrebFull-timePosted 5mo ago

About the role

Senior Data Engineer at Keyrock building the Keyrock Data Platform to enable real-time data access and governance for trading desks, wealth and asset management, product, risk, finance, compliance, and research.

Responsibilities

  • 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.

Qualifications

  • 8+ years of building production data systems that other people rely on.
  • Strong proficiency in Python and SQL: not just writing a query, but reasoning about how the engine executes 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.

Skills

Required:PythonSQLData ModellingStreaming SystemsTime-series DatastoreLakehouse ArchitectureInfrastructure as Code

Benefits

  • 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.
  • 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.
Last updated Jul 16, 2026. Interested? Apply on the company site.

About Keyrock

Changing the course of finance

Scaling liquidity and pricing assets since 2017. We enhance digital markets. Backed by time-tested algorithms and ironclad tech. Market making - OTC - Options

Market makingOTCOptionsDigital assetsLiquidity solutionsTokenised economy
Company profileWebsite

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