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Data Engineer
Amsterdam, Noord HollandWe are a specialist in temporary assignments. Our clients are wellknown banks, government, energy, construction, FMCG and other companies
For our client Vattenfall AB te Amsterdam we are looking for a Data Engineer
____________________________________________________________________________________________________
Assignment : Data Engineer
Location: Amsterdam
Startdate: 22-06-2025
Enddate: 31-05-2025 with possibility of extension
Working hours a week : 40
Deadline to apply : 19-05-2025 at 10.00 AM
FOR THIS ASSIGNMENT YOU MUST LIVE IN THE NETHERLANDS, HAVE A VALID WORKING PERMIT AND DO NOT NEED A SPONSOR
No Freelancers/ZZP
____________________________________________________________________________________________________
Job description
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.
For our client Vattenfall AB te Amsterdam we are looking for a Data Engineer
____________________________________________________________________________________________________
Assignment : Data Engineer
Location: Amsterdam
Startdate: 22-06-2025
Enddate: 31-05-2025 with possibility of extension
Working hours a week : 40
Deadline to apply : 19-05-2025 at 10.00 AM
FOR THIS ASSIGNMENT YOU MUST LIVE IN THE NETHERLANDS, HAVE A VALID WORKING PERMIT AND DO NOT NEED A SPONSOR
No Freelancers/ZZP
____________________________________________________________________________________________________
Job description
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.
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