Senior Data Engineer
On-siteStockholm, Stockholm, Sweden
Stockholm, Stockholm, SwedenOn-sitePart TimeSenior Level
Part TimeSenior Level
Job Summary
Design and develop modern cloud-based data pipelines, including ETL and ELT flows for large datasets across Data Lake, Lakehouse, and Data Warehouse architectures. Build robust models for analysis, BI, and AI while optimizing performance, quality, and scalability. Automate delivery using CI/CD and Infrastructure as Code, collaborating closely with business units to translate complex needs into scalable solutions. Provide technical advisory and continuous improvement for client data platforms across finance, public sector, and tech industries. Work within agile teams to support modern DataOps and DevOps practices.
Required Qualifications
- Minst 8 års erfarenhet som Data Engineer eller motsvarande
- Mycket goda kunskaper i Python och SQL
- Erfarenhet av moderna cloudplattformar såsom Azure, AWS eller Google Cloud Platform
- Erfarenhet av Databricks, Snowflake eller liknande dataplattformar
- God kunskap inom ETL/ELT, datamodellering och Data Warehouse/Lakehouse
- Erfarenhet av Spark, DBT, Airflow eller liknande tekniker
- Erfarenhet av Git, Docker och CI/CD
- Erfarenhet av agila arbetssätt och DevOps
- Goda kunskaper i svenska och engelska, både i tal och skrift
Desired Qualifications
- Microsoft Fabric
- Terraform eller annan Infrastructure as Code
- Kafka eller streamingplattformar
- Kubernetes
- Delta Lake, Iceberg eller Hudi
- Power BI, Tableau eller Looker
- Data Mesh och Data Products
- AI-, Machine Learning eller GenAI-lösningar
- Certifieringar inom Azure, AWS eller Google Cloud Platform
Hiring someone like this?
Get your role in front of qualified candidates on Sorce.