Remote-First Lakehouse Data Platform Engineer

Keyrock; Zürich; Remote; CHF 150,000 - 230,000; Full time

Benefits offered by this job

Flexible hours

Remote-first culture

Annual onsite gathering

Competitive salary & benefits

Job summary

Keyrock seeks a senior data platform engineer to shape the CDT data ecosystem. You’ll build streaming and batch data pipelines, establish data contracts, and design a scalable lakehouse for real-time and analytical workloads.

You’ll own schema evolution, governance, and self-serve data tooling, collaborating with architecture, infrastructure, and product teams across a mostly remote, globally distributed setup.

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 engine behavior.
• Code that's easy to read, test, and delete later.
• Strong understanding of data modelling for streaming and analytical workloads.
• Efficiency, quality, idempotency, and observability are taken seriously.

Responsibilities

• Build streaming and batch pipelines ingesting, normalising, and distributing market, trading, and portfolio data.
• Create self-serve tooling (SDKs, patterns, templates, AI agents) for data product publishing and consumption.
• Own data contracts and schema evolution to avoid multi-team coordination issues.
• Design the lakehouse and time-series layer around common query patterns.
• Develop a Data Governance and Data Quality Framework (validation, lineage, ownership).
• Build derived analytics for desks and wealth/asset management.
• Ensure observability, cost control, and performance from day one.
• Treat infrastructure as code (Docker, Terraform, CI/CD).
• Collaborate openly with Architecture, Infra, Platform, and other teams.

Skills

Python

SQL

Data modelling

Streaming data

Batch pipelines

Observability

Docker

Terraform

CI/CD

Rust (nice to have)

Tools

Kafka

Redpanda

MSK

Kinesis

ClickHouse

Job description

Keyrock seeks a senior data platform engineer to shape the CDT data ecosystem. You’ll build streaming and batch data pipelines, establish data contracts, and design a scalable lakehouse for real-time and analytical workloads.

You’ll own schema evolution, governance, and self-serve data tooling, collaborating with architecture, infrastructure, and product teams across a mostly remote, globally distributed setup.