Azure Data Engineer (Spark / Databricks)

Unlocking innovation. International, high-impact projects powered by modern tech stacks. €1,200 annual training budget per employee. Private health insurance, flexible compensation and Wellhub. Active tech communities where knowledge is shared and innovation evolves. We are looking for a Data Engineer to join an international German client in the automotive sector. This role is ideal for someone with strong experience in Azure-based data environments , hands-on expertise in Spark , and a solid background working with distributed data processing and large-scale datasets. Design, develop, and maintain robust data pipelines using Azure Data Factory and related orchestration tools to ingest, transform, and process data from multiple sources into Azure Data Lake and other target systems. Work with Databricks and Spark environments for distributed data processing, transformation, and analytics. Collaborate with cross-functional teams to translate business and technical requirements into scalable data solutions. Optimize and troubleshoot existing data workflows to improve performance, reliability, and scalability. Contribute to data documentation, governance, and good engineering practices across the platform. Stay up to date with Azure data engineering best practices and contribute to continuous improvement initiatives.

Bachelor's degree in Computer Science, Engineering, or a related field. Proven experience working in Azure-based data environments . Strong hands-on experience with Spark in distributed processing environments . Experience working with large volumes of data and building scalable data solutions. Solid experience with Databricks , Azure Data Lake , SQL , and Python . Experience with Scala , especially in Spark-based environments . Experience with Azure Data Factory or other orchestration tools. Certification in Azure Data Engineering or a related area. Knowledge of Agile methodologies and experience working in agile teams. Experience with CI/CD pipelines and version control workflows, especially GitHub . Location: 100% Remote Flexible, with reduced hours on Fridays Language: English (C1), Spanish (B2)