Data Engineer

Imagine a future where you use your data engineering skills to enable the trading of renewable energy from the world's largest offshore wind operator

Join us in this role where you'll get the opportunity to build and maintain data engineering solutions in close cooperation with data scientists and architects and a variety of business stakeholders.

You'll be part of IT Applications where you, together with your colleagues, will cooperate closely with colleagues such as traders, analysts, Settlement analysts, and operational revenue specialists.

As a team, we foster a collaborative, diverse, and inclusive work environment where we take full ownership, offer flexibility, and value a combination of being in the office and working from home.

You'll play an important role in

• developing and maintaining secure, monitored, and peer-reviewed data ingestion pipelines for trading-related data
• coding and maintaining the wind farm trading processes in our in-house trading system
• modernising our database stack by migrating from outdated systems to a more lightweight, modular architecture
• driving the evolution of our data landscape, ensuring it meets current and future needs
• collaborating with stakeholders, primarily trading, back office, and analytics teams, to identify inefficiencies and propose innovative solutions.

To succeed in the role, you

• are proficient in Python, SQL, and object-oriented programming
• have experience with containerisation of code, Kubernetes, Docker, etc. Terraform
• have experience with Modern Data Engineering patterns and using dlt (data load tool), dbt (data build tool) and Airflow, Snowflake db, IaC (Infrastructure as Code) - Terraform
• have experience with Testing frameworks such as Great Expectations, Elementary or Soda Cloud
• are a strong team player who thrives on collaboration
• have experience with DevOps, including integrating logging, testing, monitoring, and alerting within data pipelines
• have a critical and experimental mindset with a willingness to learn new technologies as needed
• are familiar with BI tools (Tableau preferred).

Maybe you've read the above and can see you have some transferable skills, even though they don't quite match all the points. If you think you can bring something to the team, we still encourage you to apply.

Shape the future with us

Send your application to us as soon as possible. We'll be conducting interviews on a continuous basis and reserve the right to take down the advert when we've found the right candidate.

As an applicant or employee, you may request reasonable work and position accommodation or adjustments via [email protected].

Please note that for your application to be taken into consideration, you must submit your application via our online career pages and answer the screening questions relevant for your country. We don't take applications or inquiries from external recruiters or agencies into account for this position.