Data Engineer

Responsibilities:

• Develop, optimize & maintain big data (ELT/ETL) pipelines for purposes of business intelligence and statistical modelling
• Ensure & monitor data quality and integrity
• Set up and configure data storage systems (e.g. SQL databases, data lake)
• Manage and support production use of connections between key elements of data infrastructure
• Write and maintain secure, robust, scalable, and efficient code that turns business concepts into tangible solutions
• Drive engineering best practices like automation, CI/CD, and maintainability
• Support standardization and automation by following best-practices / common development standards
• Collaborate with BI analysts, data scientists, ML engineers and core IT in cross-functional teams delivering value through data solutions

Requirements:

• Broad skills in Python, SQL, MDX and bash scripting
• 2+years of hands-on experience within Azure data components (Data Factory, Synapse, Datalake, Blob Storage, Sharepoint, Databricks)
• Experience with data workflow orchestration (ADF, Databricks Jobs, possibly Airflow)
• Good command of version control and CI/CD pipelines using Azure DevOps or alike
• Experience with Snowflake and its use with Azure cloud
• Business-ready English (B2-C1)
• Familiarity with data governance concepts (e.g., catalogue & meta data, data lineage, master data, security & compliance)

Nice to have:

• Familiarity with SAP Business Warehouse as a data source
• Azure Data Engineer / Data Analytics certificate
• Understanding of BI tools, eg. Power BI
• Experience with PySpark / Scala

Offer:

• Private medical care
• Co-financing for the sport card
• Training & learning opportunities
• Constant support of dedicated consultant
• Employee referral program