Data Engineer (m/f/x)

Posted:
1/15/2026, 6:17:41 PM

Location(s):
Jena, Thuringia, Germany ⋅ Thuringia, Germany

Experience Level(s):
Mid Level ⋅ Senior

Field(s):
Data & Analytics

Your Role

  • Design and plan software by applying the principles of engineering to software development.

  • Translate business requirements into digital solutions, including business analysis and application design.

  • Develop future-proof, well-tested and secure applications.

  • Systematically develop processes to provide specific functions.

  • Is aware of the "big picture".

  • Ensure up-to-date knowledge about the latest technologies and trends, bring fresh ideas to the team.

  • May involve coordination on projects.

  • The role requires a university education (master's degree) and 3-5 years of professional experience.

  • This role covers 4 tiers.

  • This job profile represents tier 3 of 4.

You have

  • a university degree, preferably in computer science, natural sciences, or engineering, paired with a passion for data 3+ years of professional experience in a Data Engineering, Data Science, or Data Analyst role

  • demonstrated practice in Python, SQL, Bash Scripting, and a profound understanding of version control

  • strong experience in working with Microsoft Azure or AWS

  • around 3 years of experience in the shaping and development of big data analytics platforms

  • the ability to effectively explain the relevant concepts and technologies with a strong passion in analyzing business needs together with the various stakeholders expert

  • know-how in relevant ETL (e.g. Azure Synapse) and visualization tools (e.g. Power BI)

  • adept knowledge in big data technologies (e.g. Apache Spark, Databricks, Azure Functions or AWS Lambda)

  • skills in infrastructure automation (e.g. Terraform) and deployment (CI/CD) are beneficial

Your ZEISS Recruiting Team:

Anne Sophie Günther