• Open
  • Closing date: 29 July 2021


The mission of The Ocean Cleanup is to develop advanced technologies to rid the world’s oceans of plastic. One part of the solution is to design, develop, and deploy cleanup systems to stop plastic from reaching our oceans by intercepting it in rivers. As a Data Engineer, you will be responsible for designing technical solutions to collect, store, and share data that come from models, field campaigns, sensors, and apps from around the world. Together with the data scientist and river survey engineers, you provide the team with real-time data on our plastic extraction operations and plastic emitting rivers.

“The Data and Monitoring team supports the development of our plastic interception technologies and measures their performance. To support future river deployments, we collect data on the spatial and temporal behavior of plastic in these rivers and provide all relevant data. We conduct fieldwork and develop and deploy sensors, apps, and dashboards to provide actionable information to other teams in the organization. We collaborate with universities across the globe to gather the best understanding of plastic-emitting rivers. If you are a structured person who combines data engineering skills with a hands-on mentality, then this is the opportunity for you.” – Lourens Meijer, Head of Data & Monitoring


The Ocean Cleanup has installed Interceptors in a number of countries and is seeking to expand rapidly in the next years. The Data and Monitoring team identifies suitable deployment locations and measures the performance of existing operations. Various types of data (continuous, real-time, periodical, through apps, sensors, e.g.) are collected. It is the responsibility of the Data Engineer to structure and store these raw data to allow and support analysis and visualization. The Data Engineer facilitates the deployment of sensors and necessary tools and participates in projects that require data analysis or collection.

Your responsibilities include:

  • Maintaining, improving, and developing databases
  • Developing data pipelines from sensor input to shared output
  • Supporting the development of dashboards and automated reports
  • Supporting the deployment and development of sensors
  • Structuring raw data, assisting in data analyses


  • Master’s degree in computer sciences, information technology, or similar; or a Master’s degree in geosciences with strong programming skills
  • At least 3 years of relevant work experience in data engineering
  • Experienced user of databases and dashboard software
  • Hands-on understanding of machine learning applications and algorithms
  • Excellent proficiency in an open-source programming language (e.g. Python)
  • Bonus points for experience with Azure, PostGIS, Grafana and/or DataIKU
  • Proficiency in geographic information systems (GIS)
  • Experience with remote sensing and telemetry is a plus
  • Fluent in English


  • Structured worker with a curious and critical mindset
  • Comfortable with a high level of autonomy
  • Enjoys structuring work for yourself and others
  • Excited about working on back-end systems and being the hero behind the scenes
  • Enjoys sharing knowledge with team members (and building capacity in the team and with partners)
  • Able to deal with uncertainty, changes in scope, and ambiguity
  • Enjoys learning and developing new skills and tools
  • Intrinsic motivation to work on our ambitious and meaningful goal
Starting from:
Work permit needed:
European Union