Data Engineer

Data EngineerStart date: ideally 2025-November-10End date: 2026-March-31Type of employment: fix-term contract (consultancy opportunity)Place of work: Malmö, Skåne CountyWay of working: hybrid 3 days / week on-siteLanguage: Swedish and EnglishOur client's Data Management team is leading the initiative for Data Management and Data Governance.They play a critical role in implementing processes, methods and tools to support the organization in working with data and ensuring that trusted data with clear ownership is made available for reporting, digital solutions, automation and AI driven analytics and reporting.About the role:They are looking for a Data Engineer with strong technical expertise and hands-on experience in DBT, Databricks, and great understanding of data Lakehouse architectures to deliver in one of the data teams “Network Operations” or “Asset Management”.Key Responsibilities: Contribute in the design phase of data products.Develop, and optimize data pipelines for data products using DBT and Databricks (and potentially streaming data in Kafka).Work closely with AI/ML engineers, data scientists, analysts, other data teams and/or application teams to deliver high-quality, reliable data products.Implement data governance, testing, and CI/CD best practices to ensure data integrity and operational excellence.Required Skills:At least 3+ years of hands-on experience as a Data Engineer or similar role.Proficient in SQL, Python, and modern data transformation frameworks such as DBT.Expertise in Databricks (Spark, Unity Catalog).Solid understanding of data lake and data Lakehouse concepts (Parquet, Iceberg, Delta Lake).Demonstrated ability in working with Git and preferably Gitlab.Excellent communicator who enjoys collaborating across disciplines to deliver data products that drive business value.Experienced in Kafka is a great merit.If you are interested to pursue this consultancy opportunity - apply now! We are looking forward to speaking with you.