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Junior Data Engineer - Data Management AI & Analytics
We are now looking for a Junior Data Engineer in the Data Management AI & Analytics area on the behalf of our client, Tetra Pak.
What you will do:
- Identify data sets required per use case in collaboration with Source Teams and Business Analysts.
- Onboard data in the Enterprise Data Lake.
- Move and transform data from Data Lake to SQL DB or SQL DW as required per use case.
- Create reporting data models.
- Implement logic as per business requirements (e.g. KPI definitions etc).
- Collaborate with other IT delivery teams to create a complete solution around a use case.
- Life Cycle Management of delivered use cases.
Technical Qualifications:
- Experience with the Microsoft Azure Platform (Data Lake, Data Factory, Databricks, Data Warehouse, Azure DevOps).
- Experience with the Apache Spark Framework (preferably PySpark - Python).
- Experience with PowerBi.
- Experience in database and information modelling.
- Experience with scripting languages such as Python and PowerShell (C# / .NET).
Soft Skills and Behaviour:
- Team player – will collect and share information with colleagues in order to improve our services.
- Self-motivated and driven. Communicates and debates solutions to issues found. Proactively contacts colleagues or lead to work on problems or improvements.
- Problem-solving mentality.
- Stakeholder management skills.
- Culturally aware and able to collaborate with people from other countries.
- Service-minded.
Start: ASAP
End date: 2027-08-31
Workplace: Lund, Sweden
Workload: 40h/week
BYOD/CAD: BYOD
On-boarding info: A drug test needs to be performed before assignment starts.
We will present candidates on an ongoing basis for this assignment, so do not hesitate to apply
- Locations: Lund
- Technologies: .NET, Azure, C, C#, Data Warehouse, Databricks, DevOps, Power BI, Python, Spark
- Language: English