Data Engineer, ETL

We are looking for a senior data engineer to join a large international BI & Analytics team. The role involves close collaboration with business stakeholders and translating their needs into solid technical solutions. Knowledge sharing and teamwork are key aspects of this position. Must-have qualifications Strong data engineering background with 7+ years of experience Proven ability to independently design and implement data pipelines for processing and transforming data Hands-on experience setting up Azure DevOps environments from the ground up, including configurations, pipelines, releases, deployments, and hotfix management Practical experience working within Databricks environments Strong coding skills in SQL, Python, PySpark, and scripting Experience with Azure Data Factory, Databricks Workflows, and cluster management Background in BI initiatives with at least 5 years of data modeling and business understanding Agile mindset and way of working Experience with Git and DevOps practices Transparent, collaborative approach with strong team engagement Ability to handle multiple projects simultaneously Strong communication skills and a team-player attitude Ability to work on-site at our Gothenburg office Proficiency in English Nice-to-have skills Ability to conduct hands-on training sessions for the team Experience with automation Scripting experience (e.g., shell scripting) Familiarity with Power BI