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Data Engineer

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: 10941
Contractvorm: Detachering
Organisatie: Vattenfall AB
Locatie: Amsterdam
Uren per week: 40 per week
Tarief: Geen maximum
Duur van de opdracht: 6,5 maanden
Regio: Noord-Holland
Startdatum: 22-06-2025
Optie tot verlenging: Mogelijk, maar nog niet bekend
Sluitingsdatum: 20-05-2025 14:00

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Duties:   

Responsible for building data pipelines for the Engine Project (BtC):


Role Summary:

We are looking for a medior/senior Data Engineer to join our growing Data & Analytics team. The successful candidate will be responsible for designing, developing, and maintaining data pipelines and architectures on the Azure platform, with a focus on Snowflake as the data warehouse and Matillion as the primary ETL tool. This role will play a key part in enabling scalable, high-performance data solutions that support business intelligence, analytics, and data science initiatives.


Key Responsibilities:

Design and develop robust, scalable, and efficient data pipelines using Matillion ETL on Snowflake.

Build and maintain secure and optimized data models within Snowflake, ensuring best practices in schema design and data governance.

Utilize Azure services (e.g., Azure Data Factory, Azure Data Lake, Azure Blob Storage, Azure Synapse Analytics) to manage and orchestrate data flows.

Collaborate with Data Architects, Analysts, and Business Stakeholders to understand requirements and deliver high-quality data solutions.

Monitor and troubleshoot ETL/ELT workflows and performance-tune processes for efficiency and reliability.

Implement and maintain data quality, lineage, and documentation practices.

Participate in code reviews and adhere to DevOps/CI-CD practices for deploying data pipelines.

Stay current with industry trends and emerging tools in the data engineering and cloud space.
Dutch + English language


Skills:    

Snowflake, Matillion, Azure, SQL, Python.


Education:    

Academic.

- Standaard aanpassing toegepast.