The role involves managing the entire data lifecycle, from ingestion and transformation to modeling and delivery within Databricks-based solutions. The individual will develop robust pipelines using Spark and establish structures with Delta Lake and Unity Catalog to ensure scalability and security. Responsibilities include processing large datasets in both batch and real-time environments while collaborating with data scientists to support analysis and machine learning initiatives. The position requires developing and maintaining integrations with various data sources and building orchestrated pipelines. Furthermore, the role involves applying DevOps principles, such as CI/CD and infrastructure as code, to maintain high-quality and predictable outcomes.

Candidates are required to hold a higher education degree and possess a minimum of two years of relevant work experience. Proficiency in Databricks, Python, Spark, and SQL is mandatory, along with experience in distributed systems and cloud platforms. Applicants must have a minimum B2 level of proficiency in Norwegian. While not strictly required, experience with DevOps, CI/CD, infrastructure as code, and orchestration tools is considered an advantage.