Data Engineer

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