Senior Data Platform Engineer — Real-Time Analytics & Governance

Keyrock; Wien; On-site; EUR 120,000 - 180,000; Full time

Job summary

Keyrock is building the Data Platform to empower traders, risk, and research with real-time insights. You’ll help design and implement streaming and batch data pipelines, governance, and self-serve tooling for data products across the organization.

You’ll work with Python/SQL, time-series stores, and lakehouse architectures, focusing on reliability, observability, and cost efficiency. This role is predominantly remote and offers a high-impact environment.

Qualifications

• 8+ years building production data systems.
• Strong proficiency in Python and SQL; understand engine behavior.
• Readable, maintainable code that others can extend.
• Solid data modeling for streaming and analytical workloads.
• Emphasis on efficiency, quality, idempotency, and observability.
• Experience with streaming systems and time-series stores.
• Design and operate lakehouse architectures with cost-aware decisions.
• Infrastructure as code with Docker, Terraform, and CI/CD.

Responsibilities

• Build streaming and batch pipelines ingesting market and portfolio data.
• Create self-serve tooling (SDKs, patterns, templates, AI agents) for data products.
• Own data contracts and schema evolution to avoid cross-team coordination issues.
• Design the lakehouse and time-series layer for efficient querying.
• Develop Data Governance and Data Quality framework: validation, lineage, ownership, self-healing.
• Create derived analytics for desks and wealth management, including VWAP and exposure.

Skills

Data engineering

Python

SQL

Readable code

Data modelling

Observability

Performance

Tools

Kafka

ClickHouse

TimescaleDB

Docker

Terraform

CI/CD

Job description

Keyrock is building the Data Platform to empower traders, risk, and research with real-time insights. You’ll help design and implement streaming and batch data pipelines, governance, and self-serve tooling for data products across the organization.

You’ll work with Python/SQL, time-series stores, and lakehouse architectures, focusing on reliability, observability, and cost efficiency. This role is predominantly remote and offers a high-impact environment.