Senior Data Engineer

Nasze wymagania: Minimum 5+ years of experience in Data Engineering Experience across multiple large-scale assignments of varying complexity Proven hands-on delivery of pipelines and data products using: AWS, Azure, Snowflake, dbt, Witboost, Dreamio Strong expertise in dbt and modern ELT/ETL practices Experience with CI/CD pipelines and automated testing in data environments Experience working within Data Mesh setups Practical application of DataOps principles in production Strong understanding of: Data governance, Data contracts, Data modeling patterns, Reusable standards / golden paths Mile widziane: Experience acting as a technical or delivery lead in cross-functional teams Experience enabling domain teams and supporting ownership transition Strong stakeholder communication skills in distributed environments O projekcie: We are currently looking for Senior Data Engineers to join our Swedish customer within the automotive industry. Zakres obowiązków: Build, maintain, and optimize ETL/ELT processes in AWS, Azure, and Snowflake environments. Implement transformations and workflows using dbt and other relevant tools. Ensure data is accessible, accurate, and consistent across the organization. Monitor pipeline performance and respond quickly to production issues. Automate data testing and deployment processes. Maintain high code quality and DevOps standards for the data team.