Senior Data Engineer (f/m/x)
Veröffentlicht:
21 September 2024Pensum:
100%- Arbeitsort:München
Your Role
-
Design and implement scalable, reliable, and efficient data architecture to support large-scale data processing and analytics needs
-
Develop, maintain, and optimize data pipelines and ensure data quality, reliability, and timeliness for ingestion and processing. 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