Om jobbet
A hands-on data engineering role with real business impact, international exposure, and strong room to grow - within a fast-moving, empowered Nordic organization where your work truly matters.What you'll be doing
Design, build, and optimize scalable data pipelines on Databricks, covering the full lifecycle from ingestion to transformation and performance tuning
Work closely with business stakeholders, analysts, and fellow engineers to deliver high-quality, business-critical data solutions
Take ownership of end-to-end data flows, ensuring reliability, scalability, and best-practice architecture
Actively contribute to the evolution of our modern Lakehouse platform, including governance, CI/CD, and data quality standards
Support and contribute to AI, ML, and Generative AI initiatives, from solution design to implementation
Proactively identify improvements and help shape how data engineering is done at Karo
Requirements
3+ years of hands-on experience as a Data Engineer (or similar role) in a fast-paced, delivery-focused environment
Strong experience with Databricks and solid understanding of Lakehouse and Medallion architectures
Advanced SQL, solid Python, and experience working with Spark
Experience with ETL/ELT pipelines, data modeling (e.g. Kimball / star schema), and CI/CD practices
Comfortable working with Git and modern development workflows
Curious, proactive, and eager to grow-especially within AI/ML and modern data platforms
Bachelor's or Master's degree in Computer Science, Data Science, or a related field
Experience or interest in Machine Learning or Generative AI is a strong plus
