Senior Data Engineer - Remote Real-Time Market Data Platform

Keyrock

Zug

On-site

CHF 140,000 - 180,000

Full time

14 days+
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Job summary

Keyrock is building a centralized Data Platform within its Central Data Team. You will contribute to major decisions and hands-on build-out of streaming and batch data pipelines, data contracts, and a lakehouse architecture to serve trading desks, wealth management, product, risk, and research.

We value engineers who can design for self-healing, idempotency, and observability while embracing an open, collaborative development culture.

Qualifications

  • 8+ years of building production data systems.
  • Strong proficiency in Python and SQL: understand engine behavior.
  • Readable, maintainable code that others can test and delete later.
  • Strong understanding of data modelling for streaming and analytical workloads.
  • Design for efficiency, quality, idempotency, and observability.

Responsibilities

  • 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 chaos.
  • Design lakehouse and time-series layer around consumer query patterns.
  • Develop Data Governance and Data Quality Framework: validation, lineage, ownership.
  • Develop analytics for business: cross-exchange spreads, VWAP, portfolio views.
  • Prioritize observability, cost, and performance from day one.
  • Treat infrastructure as code (Docker, Terraform, CI/CD) with Central Infra team.
  • Collaborate openly with Architecture, Infrastructure, Platform, and teams.

Skills

Python
SQL
Data modelling
Streaming systems
Observability

Tools

Docker
Terraform
CI/CD
Kafka
ClickHouse

Job description

Keyrock is building a centralized Data Platform within its Central Data Team. You will contribute to major decisions and hands-on build-out of streaming and batch data pipelines, data contracts, and a lakehouse architecture to serve trading desks, wealth management, product, risk, and research.

We value engineers who can design for self-healing, idempotency, and observability while embracing an open, collaborative development culture.

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