Role:
As Data Engineer you will work mainly with our legacy solutions to support decommission of old solutions as we move towards new technology. When decommission is done you will work from source system to visualization, using the latest technology in Microsoft Azure to accelerate the implementation of all types of analytics in GDAH that the Sales & Service Value stream prioritizes. You will work with the business defining requirements, design, develop, configure, test, and maintain analytics solutions. You ensure that solutions meet the needs and are evolved over time.

Essential requirements:

• 6-8 years of experience working as a Data Engineer
• Working experience as a Cloud Data Engineer/Business Intelligence developer.
• Strong Experience of developing solutions on the Azure Analytics platform (strong knowledge within Azure Databricks, SQL Spark, Python Spark, Azure DevOps, Azure Data Factory, and related Azure resources).
• Knowledge of Business Intelligence/Data Warehouse architecture (Lakehouse), concepts and modelling (Kimball).
• Knowledge of Business Intelligence development methods and patterns.
• Experience in working within SAFe

Please explain how you meet all the requirements when applying.

Utilization: 100%
Location: Lund
Period:  05-05-2025-31-12-2025
Last day to apply: 23-04-2025
We present regularly. This means that we sometimes remove the assignements from our website before the final application deadline. If you are interested in an assignement, we recommend that you submit your application as soon as possible.