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Senior Data Engineer till Digitalisering IT och MT Region Skåne

Lund, Sweden🌐 Remote💼 Full-time🗓 2026-08-21 → 2026-09-25

Core

Designing and implementing scalable data flow solutions (ETL/ELT) to support advanced analytics, Machine Learning, and AI within a modern Data Lakehouse environment.

Role type

Senior Data Engineer

Builds

Enterprise Data Warehouse evolving into a Data Lakehouse for healthcare and societal services

Domain

Healthcare / Data Engineering

Deliverable

production ML models | product features

Required skills

SQL (T-SQL), Python, Databricks, Pyspark, Data Modeling, Data Deduplication, Slowly Changing Dimensions, Data Quality Management, Performance Optimization

Preferred skills

Data Lakehouse, Data Mesh, Data Fabric, DataOps, Microsoft Fabric, Azure Synapse, Power BI, C#, Biml, Cloud Infrastructure, IT Security, Cryptography, Pseudonymization, Healthcare Domain Knowledge

Responsibilities

Design and implement scalable ETL/ELT solutions, Build data models and transformations, Monitor and troubleshoot data flows, Optimize data flows and transformations, Support stakeholders with data exploration, Collaborate with system owners, product owners, architects, and Data Scientists

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