Data Engineer

As a Data Engineer in the Data Analytics team, you will be crucial in ensuring we can bring together all relevant data from various sources in a reliable and scalable way, by contributing to the design and development of a global consumer data hub, assuming stewardship for data quality, consistency and usability of data.

Your responsibilities:

• Developing and maintaining data models for a variety of use-cases and ensure consistency of definitions and data quality across Sonova’s group companies
• Contribute to the development of the consumer data hub on Azure Infrastructure, in close collaboration with internal and external teams; continuously support the addition of new data sources
• Coordinating with global BI and IT functions on engineering topics
• Writing documentation for data pipelines, data sources, structures, and transformations
• Working closely with the analysts (centrally and locally) to ensure data accessibility, reports automation and enable sharing of best practices

Your profile:

• BS/MS/PhD in an IT, Mathematics, Science or Engineering discipline  
• 3+ years of professional experience in data engineering field including building data pipelines
• Experience in data lake and data warehouse modeling techniques
• Experience with SQL (PL/SQL) and Python
• Familiar with data ETL from a wide variety of data sources 
• Experience with SQL and NoSQL databases
• Experience working with Microsoft Azure using relevant services such as Databricks, Data Factory, Synapse Analytics
• Experience with pipeline and workflow management tools 
• Experience with code versioning, code review and documentation 

We offer:
We can offer you a new challenge, with interesting tasks and much more – including an open corporate culture, flat hierarchies, support for further training and development, opportunities to take on responsibility, an excellent range of foods, sports and cultural facilities, attractive employment conditions, and flexible working time models.