Tekst logo luidt "DE Publieke Partner" in vette letters, geflankeerd door horizontale lijnen boven en onder.

DATA Engineer (MQTT)

Het logo van Vattenfall met de bedrijfsnaam in grijs, gevolgd door een cirkel die horizontaal verdeeld is in geel aan de bovenkant en blauw aan de onderkant.

Aanvraagnummer: 17735
Contractvorm: Detachering
Organisatie: Vattenfall AB
Locatie: Amsterdam - Noord-Holland
Uren per week: 40 per week
Tarief: Geen maximum
Duur van de opdracht: 9 maanden
Regio: Noord-Holland
Startdatum: 02-10-2025
Optie tot verlenging: Mogelijk, maar nog niet bekend
Sluitingsdatum: 04-09-2025 13:00

LET OP! Deze opdracht is gesloten


Data Engineer – Amsterdam

Practical Information


  • Location: Amsterdam



  • On-site presence: Thursdays




  • Contract type: Secondment only (no freelancers/ZZP)




  • Interview process: One interview




  • Maximum hourly rate: €90




  • Preferred CV language: English


  • Minimum experience: 5+ years




  • Sector experience required: Not necessary




  • Education background: No specific requirement


About the Role


Do you want to contribute to the clean energy transition and make a real impact through data?

Vattenfall is looking for an experienced Data Engineer to strengthen our team. You will join an agile SCRUM team working on complex data challenges, building scalable solutions that directly support the development of wind energy.



What you will do




  • Design, build, and maintain data pipelines for real-time and historical wind turbine data.




  • Ensure data can be shared securely and efficiently with internal and external stakeholders.




  • Work with Kubernetes, Python, and MQTT to develop robust, scalable data flows.




  • Build and maintain APIs and Python dashboards.




  • Integrate live, high-frequency, and scientific data from wind assets.





What you bring




  • At least 5 years of experience as a Data Engineer.




  • Excellent knowledge of Python, including DevOps best practices (CI/CD, Git).




  • Experience with SQL and NoSQL databases.




  • Experience with Cloud services (preferably Azure: Blob Storage, Azure Functions, Data Factory).




  • Experience with Databricks.




  • Hands-on experience with real-time messaging technologies such as MQTT or similar.




  • Strong experience in building and consuming APIs.




  • Familiarity with the Agile methodology.




  • Strong communication skills to explain technical concepts to non-technical stakeholders.




Must-haves:




  • Python




  • Kubernetes




  • MQTT




  • Senior-level data engineering expertise





About the Team




  • Team size: 3 Data Engineers.




  • Culture: positive, collaborative, informal, and result-oriented. The team is stable and well-settled after recent contract transitions.