Senior Data Engineer - Real-Time Crypto Data Platform

Keyrock

Schweiz

Remote

CHF 140,000 - 210,000

Full time

6 days ago
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Benefits offered by this job

Flexible hours
Remote-first
Yearly onsite gathering

Job summary

Keyrock is expanding its Central Data Team to build the Keyrock Data Platform with real-time data access across trading desks, wealth management, product, risk, and compliance. You’ll help design and implement streaming and batch pipelines, governance, and self-serve data tools for autonomous decision-making.

You’ll work in a remote-first environment with hubs in London, Brussels, and Singapore. You’ll shape standards, drive data quality, and partner with Architecture, Infrastructure, and other

Qualifications

  • 8+ years of building production data systems.
  • Strong Python and SQL skills with understanding of engine behavior.
  • Code that is readable, testable, and maintainable.
  • Experience with streaming and analytical data workloads.

Responsibilities

  • Build streaming and batch data pipelines that ingest and normalize market data.
  • Create self-serve tooling (SDKs, templates) for data product teams.
  • Own data contracts and schema evolution; manage governance and quality.
  • Design lakehouse and time-series storage patterns for performance.
  • Instrument the system with logs, metrics, and traces from day one.
  • Treat infrastructure as code (Docker, Terraform, CI/CD).
  • Collaborate across Architecture, Infrastructure, Platform and product teams.

Skills

Python
SQL
Streaming
Data modelling
Observability

Tools

Kafka
ClickHouse
Iceberg/Delta Lake

Job description

Keyrock is expanding its Central Data Team to build the Keyrock Data Platform with real-time data access across trading desks, wealth management, product, risk, and compliance. You’ll help design and implement streaming and batch pipelines, governance, and self-serve data tools for autonomous decision-making.

You’ll work in a remote-first environment with hubs in London, Brussels, and Singapore. You’ll shape standards, drive data quality, and partner with Architecture, Infrastructure, and other

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