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Software Data Engineer

Software Data Engineer

Amsterdam, Permanent

This innovative startup, as part of Amsterdam’s pioneering accelerator, are changing the way energy companies operate based on their machine learning solutions. As part of the transfer to renewables, there is a shifting landscape in prediction surrounding energy storage, trading and production.

Industry:

OQ-industries Sustainability

What to expect:

You will be working closely with the CTO, Head of Product and Machine Learning Engineers largely in two domains. Firstly you will be responsible for the data infrastructure (cloud, pipelines, quality) that enables ML solutions, ensuring scalability for large volumes of data. Secondly, you will also be designing the API that connects energy companies’ platforms to this company’s Backend.

Perks:

  • Real commitment to engineering best practices. All microservices run natively on Kubernetes, for example
  • Chance to help accelerate the energy transition to renewables
  • Lack of hierarchy and high flexibility. Output is valued over time in the office
  • Space for hobbies, most of the company like to climb together

Requirements:

  • The current stack includes Python, Airflow, Docker, Kubernetes, Google Cloud (GCP), vue.js, SQL and Linux
  • Strong Python knowledge is essential
  • Experience with building data structures (ideally on the cloud - any platform)
  • An affinity for devops practices and tooling (Docker, Kubernetes, CI/CD)
  • Some basic knowledge of Frontend work

Sounds good?

Apply now
For more information, connect with our specialised team member on LinkedIn Angus Mackintosh