Senior Data Engineer — Remote, Build Data Platform

Keyrock; Madrid; Sur place; EUR 90 000 - 120 000; Plein temps

Résumé du poste

Keyrock is building a new Central Data Team to power real-time data platforms for trading and research. You’ll help ingest, normalize, and serve market, portfolio, and analytics data across desks and products with a strong emphasis on reliability and self-service tooling.

We value deep data modeling, streaming architectures, and observable systems, with a culture of open collaboration across Architecture, Infrastructure, and Platform teams.

Qualifications

• 8+ years building production data systems used by others.
• Strong Python and SQL; understand engine behavior.
• Readable, maintainable code that others can modify.
• Deep knowledge of data modelling for streaming/analytical workloads.
• Emphasis on observability, reliability, and quality by default.

Responsabilités

• Build streaming and batch pipelines ingesting market data and portfolios.
• Create self-serve tooling (SDKs, templates, AI agents) for data products.
• Own data contracts and schema evolution to avoid multi-team coordination.
• Design lakehouse and time-series layer for common queries.
• Develop Data Governance and Data Quality framework and checks.
• Build analytics for cross-exchange spreads, VWAP, and risk views.
• Prioritize observability, cost, and performance from day one.
• Treat infrastructure as code with Docker, Terraform, and CI/CD.

Connaissances

8+ years data systems

Python

SQL

Code readability

Data modelling

Observability

Outils

Kafka/Redpanda/MSK/Kinesis

ClickHouse

TimescaleDB

QuestDB

Description du poste

Keyrock is building a new Central Data Team to power real-time data platforms for trading and research. You’ll help ingest, normalize, and serve market, portfolio, and analytics data across desks and products with a strong emphasis on reliability and self-service tooling.

We value deep data modeling, streaming architectures, and observable systems, with a culture of open collaboration across Architecture, Infrastructure, and Platform teams.