Senior Data Engineer, Real-Time Data Platform (Remote)

Keyrock; København; On-site; DKK 850,000 - 1,250,000; Full time

Job summary

Keyrock is expanding its Central Data Team (CDT) to build the Data Platform that unifies real-time and batch analytics across trading desks, risk, finance, and research. We seek an experienced data engineer to shape data contracts, governance, and scalable pipelines in a fast-moving DeFi/crypto environment.

You will own streaming and batch data ingestion, design scalable lakehouse architectures, and contribute to data tooling, observability, and cost-aware operation from day one.

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 understanding engine behavior.
• Code that is readable, testable, and maintainable.
• Strong data modelling for streaming and analytical workloads.
• Efficiency, quality, idempotency, and observability are standard requirements.

Responsibilities

• Build streaming and batch pipelines ingesting market, trading, and portfolio data, resilient to feed/exchange failures.
• Create self-serve tooling (SDKs, patterns, templates, AI agents) for teams to publish and consume data products.
• Own data contracts and schema evolution to avoid multi-team coordination pain.
• Design the lakehouse and time-series layer around consumer query patterns.
• Develop and evolve Data Governance and Data Quality Framework (stale-feed detection, schema validation, range checks, lineage).
• Derive analytics for business like cross-exchange spreads, VWAP, desk-focused microstructure, and portfolio views.

Skills

Python

SQL

Data modelling

Observability

Idempotency

Tools

Kafka/Redpanda/MSK/Kinesis

ClickHouse

TimescaleDB/QuestDB

Lakehouse architecture

Docker

Terraform

CI/CD

Job description

Keyrock is expanding its Central Data Team (CDT) to build the Data Platform that unifies real-time and batch analytics across trading desks, risk, finance, and research. We seek an experienced data engineer to shape data contracts, governance, and scalable pipelines in a fast-moving DeFi/crypto environment.

You will own streaming and batch data ingestion, design scalable lakehouse architectures, and contribute to data tooling, observability, and cost-aware operation from day one.