Data Engineer

Data Engineer

Our client is s a cutting-edge startup energy trading house specializing in quantitative trading strategies across European Energy markets.

The quantitative trading team leverages models and data to drive decision-making. They build tools for their own use — which means quality, speed, and precision truly matter. To help accelerate innovation, they’re looking for a Data Engineer with a strong focus on performance, reliability, and clean engineering. Expect deep technical work, minimal meetings, and no external stakeholder juggling — just direct impact.

You enjoy:

• Writing efficient C++ code that delivers low-latency execution and high reliability.
• Organizing and querying large volumes of time-sensitive data using BigQuery.
• Getting the details right — from error handling to naming conventions — because precision matters.
• Collaborating in a team that values humility, kindness, and technical excellence.
• Taking ownership of your work from design to deployment — and beyond.

You can support the team with:

• Building and maintaining low-latency, high-availability data pipelines in C++ and Python.
• Engineering performant and scalable data warehousing solutions in BigQuery, using advanced SQL features (UDFs, ITVFs, MTVFs).
• Deploying production systems using Docker, Git, and CI/CD best practices.
• Leveraging AWS services — including S3, ECR, ECS, Fargate, and Lambda — to build resilient cloud-native pipelines.
• Designing systems with high conscientiousness — anticipating failure modes, writing clean code, and documenting responsibly.
• Working in a collaborative, agreeable way that supports shared goals and constructive feedback.

Bonus if you bring:

• Experience in short-term power markets (Day Ahead, Intraday Auctions and Continuous, Imbalance, EPEX SPOT, EXAA, Nordpool, and EEX, as well as relevant data like weather, trades, and order book updates).
• Knowledge of infrastructure-as-code and cloud architecture best practices (e.g. Pulumi, Terraform, AWS Well-Architected Framework).
• Familiarity with data pipeline orchestration and monitoring tools (e.g. Airflow, DBT, Grafana) or MLOps tooling.
• Programming experience in Go or Rust.

What’s on offer: A deeply technical, fast-moving environment where you work with traders, not for them.
The systems you build go into production immediately — providing a rare and rewarding feedback loop from both peers and the market.
A high-agency team culture that values care, clarity, and cooperation.