Senior Data Platform Engineer - Remote & High-Impact

Keyrock

Zürich

Vor Ort

CHF 140.000 - 210.000

Vollzeit

14 Tage+

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Zusammenfassung

Keyrock is building a world-class Data Platform. We seek an experienced data platform engineer to design streaming pipelines and a lakehouse with a strong emphasis on governance, scalability, and cost efficiency.

You will own data contracts, build self-serve tools, and collaborate across trading, risk, product, and research teams. You’ll work in a predominantly remote team with hubs and global collaboration.

Qualifikationen

  • 8+ years of building production data systems that other people rely on.
  • Strong proficiency in Python and SQL, with deep understanding of what the engine does.
  • Readable, testable, and maintainable code is expected.
  • Strong data modelling for streaming and analytical workloads.
  • Emphasis on efficiency, quality, idempotency, and observability.

Aufgaben

  • Build streaming and batch pipelines ingesting market and portfolio data, resilient to failures.
  • Create self-serve tooling (SDKs, templates, AI agents) for data products.
  • Own data contracts and schema evolution to avoid multi-team coordination issues.
  • Design lakehouse and time-series layer around common query patterns.
  • Develop Data Governance and Data Quality framework with lineage and ownership.
  • Implement derived analytics for cross-exchange spreads and portfolio views.
  • Ensure observability, cost, and performance are day-one priorities.
  • Treat infrastructure as code using Docker, Terraform, and CI/CD.
  • Collaborate with Architecture, Infrastructure, and Platform teams.

Kenntnisse

Python
SQL
Data modelling
Streaming data
Code readability

Tools

Kafka
Redpanda
MSK
Kinesis
ClickHouse
TimescaleDB
QuestDB

Jobbeschreibung

Keyrock is building a world-class Data Platform. We seek an experienced data platform engineer to design streaming pipelines and a lakehouse with a strong emphasis on governance, scalability, and cost efficiency.

You will own data contracts, build self-serve tools, and collaborate across trading, risk, product, and research teams. You’ll work in a predominantly remote team with hubs and global collaboration.

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