Senior Data Engineer (f/m/x)

Ensure consistent code quality and adherence to technical guidelines across the team Scope, plan, estimate and delivers projects, according to aligned roadmaps. Proactively providing projects updates, identifies impediments, project risks and options for mitigation Collaborate with data analysts, data engineers and other stakeholders to deliver data solutions that drive insights and support business needs Automate repetitive data tasks (testing, deployment, etc.), implement monitoring solutions, and support the production environment to ensure smooth data operations Mentor and provide guidance to junior engineers and contribute to the continuous improvement of engineering practices across the team Implement data governance practices, ensuring data security, privacy, and compliance with industry standards and regulations (e.g., GDPR) Your Profile A degree in a MINT field or an equivalent educational background At least 3-5 years of experience in data engineering, including working with large-scale data processing and management systems Demonstrated practice in Python, SQL, Pyspark and DevOps implementation (Azure Devops, Jenkins) Experience in design and implementation of complex data pipelines Extensive experience in clean, maintainable, and efficient code development Strong communication skills in English and the ability to work effectively with both technical and non-technical stakeholders Your ZEISS Recruiting Team: Markus Repp