Technical Lead – Data & Analytics (m/f/x)

at  ZEISS Group

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 Technical Lead to join our data quality and standards team. As a Technical Lead, you will be the key decision-maker for technical matters, providing guidance and support for design, architecture, development, and deployment, always with the corporates big picture in mind.
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

• Define technical strategies, architecture, and roadmaps for projects and standardized tooling considering scalability, maintainability, and performance.
• Collaborate with stakeholders (data owner, product owner, project manager, KGP stream leads and members, etc.) to translate business requirements into technical solutions.
• Oversees the design, development, and maintenance of complex data pipelines, ensuring data integrity, quality, and security.
• Provide technical direction and leadership to a team of data engineers.
• Work closely with the product owner, senior data engineer and project manager to ensure timely delivery of features and releases.
• Write clean, maintainable, and efficient code, perform code reviews, and enforce coding standards and best practices.
• Identify potential risks, bottlenecks, and technical challenges and find solutions to mitigate them.
• Lead technical research, proof of concepts (POC), and prototyping to assess new tools or solutions.
• Leading a team (3-5) of Data Engineers of different levels in different locations.

Your profile

• 3-5 years of proven experience as a senior data engineer or technical lead, with a strong track record of delivering high-quality software products, including working with large-scale data processing and management systems.
• At least 1 year experience leading a team from a technical standpoint.
• Strong background in system architecture, software design patterns, and software engineering best practices.
• Strong experience in Cloud Computing, with Python, Databricks, SQL, Pyspark as well as DevOps implementation (Azure Devops, Jenkins).
• Experience in design and implementation of complex data pipelines by following and ensuring industry standards and best practices.
• Extensive experience in clean, maintainable, and efficient code development.
• Excellent communication skills and the ability to work effectively with both technical and non-technical stakeholders.
• Fluent English is a must, German language skills are welcome.

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 Lil

• Define technical strategies, architecture, and roadmaps for projects and standardized tooling considering scalability, maintainability, and performance.
• Collaborate with stakeholders (data owner, product owner, project manager, KGP stream leads and members, etc.) to translate business requirements into technical solutions.
• Oversees the design, development, and maintenance of complex data pipelines, ensuring data integrity, quality, and security.
• Provide technical direction and leadership to a team of data engineers.
• Work closely with the product owner, senior data engineer and project manager to ensure timely delivery of features and releases.
• Write clean, maintainable, and efficient code, perform code reviews, and enforce coding standards and best practices.
• Identify potential risks, bottlenecks, and technical challenges and find solutions to mitigate them.
• Lead technical research, proof of concepts (POC), and prototyping to assess new tools or solutions.
• Leading a team (3-5) of Data Engineers of different levels in different locations