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Data Engineer

Data Engineer

CGSHamburg, Germany, Germany
Vor 11 Tagen
Stellenbeschreibung

Data Engineer

Our client’s 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.
    • Jobalert für diese Suche erstellen

    Data Engineer • Hamburg, Germany, Germany