Data Engineer (w/m) 80%-100%
Galenica AG
Publication date:
15 February 2025Workload:
80 – 100%- Place of work:Bern
Job summary
Join us to co-design a cutting-edge data platform in Azure! Enjoy a collaborative work environment with great benefits.
Tasks
- Co-develop the new data platform in the Azure Cloud.
- Create data models for analytics use cases and requirements.
- Structure data sets using modern cloud and big data solutions.
Skills
- Technical degree in computer science or similar required.
- Proven experience with Azure Cloud solutions and data architecture.
- Strong programming skills in Python, Java, or Scala.
Summary from the original job ad
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What you can do
- Co-design and co-develop the new data platform in the Azure Cloud
- Create data models according to the requirements and data analytics use cases
- Organise and structure data sets with the help of various modern cloud and big data solutions
- Connect data sources and develop transformation and data integration workflows
- Closely collaborate in an agile environment with responsibility for specific topics such as EDW, data lakes and data architecture
What you have to offer
- Technical college/university degree in computer science or a comparable qualification
- Proven experience with cloud solutions (ideally in the Azure Cloud with Data Lake Storage, Data Factory, Event Hub and Azure DevOps)
- Strong knowledge of data modelling, data storage and data access techniques with experience in big data architectures and integration models
- Excellent programming skills in Python, Java or Scala and SQL
- Proven work experience with decentralised systems and mastery of tools such as Apache Spark, Apache Flink and Apache Beam
- German or French and a good command of English are required
Five weeks' holiday with the option of buying up to 10 additional days of holiday or taking unpaid leave
Pension fund with advantageous premium split – we cover approx. two-thirds of the costs
Various discounts in our pharmacies and at other top brands
Expand skills through sponsored and supported education and training as well as internal development opportunities
Family-friendly with 16 weeks of maternity leave (80% of salary) and 10 days of paternity leave (100% of salary), as well as investments in children's fund
Registered shares at preferential prices – not only commit professionally to Galenica, but also invest
Mobile and flexible working in consultation with the team
