Senior Data Engineer - Databricks (including Spark and Unity Catalog) - Lakehouse architecture

Place of Work: Malmö, Sweden

Way of working: hybrid (3 days/week on-site in the office)

Availability: 100%

Start date: 2026-01-15

End date: 2026-12-31

Role & tasks

As a Senior Data Engineer, the candidate will play a central role in the company's data landscape, taking responsibility for developing and maintaining data pipelines that meet the highest industry standards. The role requires a holistic mindset and proven experience of designing, optimising, and sustaining data pipelines using Databricks, with potential integrations to streaming data sources such as Kafka.

Soft skills

The role requires a holistic mindset and proven experience of designing, optimising, and sustaining data pipelines using Databricks, with potential integrations to streaming data sources such as Kafka. The candidate will collaborate closely with both business and IT stakeholders to understand analytical requirements and deliver high-quality data products that are fit-for-purpose, flexible, secure, stable, reusable, and easy to maintain.

Technical Skills

Must have:

Minimum 3 years of experience with Databricks, including Spark and Unity Catalog
Solid understanding of Lakehouse architecture
Proven track record in building and maintaining Data Products
Experience with CI/CD pipelines (preferably GitLab)
Strong programming skills in Python
Proficiency in SQL
Experience working with Parquet, Iceberg, and Delta Lake
Excellent communication and collaboration skills

Nice to have: