Senior Data Engineer (dbt / Databricks / Azure) – Remote, Europe
The client, one of the world’s leading manufacturers of home appliances, is seeking a Senior Data Engineer for a full-time, remote contract lasting 5–6 months, collaborating with a Stockholm-based team on CET hours.
The role
A hands-on, individual-contributor role. You'll build and maintain scalable data pipelines and modern data architecture on Azure, delivering trusted, high-impact data products that power the company's AI and analytics initiatives.
What you'll do
- Design, build and optimize ETL/ELT pipelines on Azure
- Implement data transformations and models with dbt
- Process and analyze data at scale with Databricks and Python
- Orchestrate workflows with Apache Airflow and ingest data with Azure Data Factory
- Contribute to architecture decisions and keep the team's technical bar high
- Collaborate in a multicultural, English-speaking environment
Must-haves
- 5+ years of hands-on data engineering
- Strong dbt experience (modern data modelling and transformation)
- Databricks (Spark-based processing and analytics)
- Microsoft Azure — proven hands-on track record building on Azure data platforms
- A proactive, ownership-driven mindset
- Fluent English
Nice-to-haves
- Apache Airflow (strongly preferred)
- PySpark, Medallion architecture / Data Mesh
- CI/CD and GitHub practices
- AI/ML data pipeline exposure; startup or fast-paced background