• Design of data models for analytical applications.
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• Understand, build and further develop ETL and data integration solutions - with a wide range of technologies and data sources.
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• Working with big data components and migration strategies.
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• Working with cloud infrastructure (Azure, AWS, Google Cloud) for hosting data solutions and applications.
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• Support in building analysis and reporting solutions.

Our expectations of you

Qualifications

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• Solid expertise in the Azure Data Engineering Stack - Azure Data Factory, Azure Synapse, Azure Data Lake, Azure Blob, Cosmos DB, Azure Databricks and Microsoft Fabric.
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• Good programming skills - especially Python and SQL.

Experience

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• Proven experience in the development of ETL and data integration solutions.
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• Hands-on experience with Databricks and/or Spark.