Must have

• Python

• SQL

• Azure

• Azure Data Factory

• English (B2)

Nice to have

• Databricks

• Snowflake

• PySpark

• Scala

• Power BI

• SAP BW

Requirements description

Must to have:

• Broad skills in Python, SQL and bash scripting
• Min. 2-3 years of hands-on experience within Azure data components (Azure Data Factory, Blob Storage, Sharepoint, KeyVault, LogicApps, Azure DB, Synapse)
• Experience with data workflow orchestration (esp. using ADF)
• Good command of version control and CI/CD pipelines using Azure DevOps / Github
• Familiarity with data governance concepts (e.g., catalogue & meta data, data lineage, master data, security & compliance)
• Business-ready English (B2-C1)

Nice to have:

• Experience with Snowflake will be an important asset
• Experience with Databricks, possibly also Azure ML
• Azure Data Engineer / Data Analytics certificate
• Familiarity with SAP Business Warehouse as a data source
• Understanding of BI tools, eg. Power BI
• Experience with PySpark / Scala

Offer description

As a key step in scaling up our Supply Chain Analytics team, we are looking for a Data Engineer to drive and support data ingestion, staging, processing and serving using MS Azure services.

Your responsibilities

1. Develop, optimize & maintain big data (ELT/ETL) pipelines for purposes of statistical modelling & business intelligence
2. Ensure & monitor data quality and integrity
3. Set up and configure data storage systems (e.g. Snowflake data lake / SQL databases)
4. Manage and support production use of connections between key elements of data infrastructure
5. Write and maintain secure, robust, scalable, and efficient code that turns business concepts into tangible solutions
6. Drive engineering best practices like automation, CI/CD, and maintainability

show all (8)