Senior Data Engineer – Data & Analytics (m/f/x)

You will play a crucial role in shaping the future of Data Analytics department and actively contribute to the success of the digital transformation at ZEISS. We are seeking a highly skilled and experienced Senior Data Engineer to join our data quality and standards team. As a Senior Data Engineer, you are working independently, requiring minimal management and direction with the corporates big picture in mind. Excellent technical skills and strong fundamentals are a given at this level.

Who we are

We are an expanding team of Software Engineers, Data Engineers and Data Scientists. The team is established to support all ZEISS business units on their way to digitalization. We believe in the importance of cloud and software engineering in our architecture. Our focus is to build data products in the Microsoft Azure cloud. We develop solutions based on structured and unstructured data, mainly using Python programming language. We rely on open-source code standards and aim to master our tools.

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.

What we offer

Our employees are the innovative backbone and driving force of our company. That is why you are our focus.

• Technology stack: Modern and cutting-edge technology stack with opportunities to experiment and innovate within a high-tech group
• Flexible work options: 40-60% hybrid work option to provide flexibility and work-life balance
• Additional benefits: Annual flexible benefits that include cafeteria options, private health plans, and annual reward
• Extra option: Company parking space in the underground garage of the office building can be reserved
• Contribution: Opportunity to directly contribute to the development of innovative products through software delivery
• Supportive work environment: working in a team composed of excellent teammates and a supportive lead who collaborate to guide and support professional development from day one

We invite you to join #teamZEISS and help shape the future with us!

Your ZEISS Recruiting Team:

Bartha Györgyi, Bartók Tímea, Fedor Fanni, Meláth Laura, Sturcz Noémi, Sztaskó Daniella, Wenner Lili