Data Engineer

Job Title : Analytics/Data Engineer

Location : Poing, Munich - Germany

Duration : 12 Months Contract(Possibility of Extensions)

Mode of Work : Hybrid Role (2/3 Days in Week)

Position Highlights

We are looking for an Analytics Engineer (m/f/d) to strengthen our Research & Development teams in Poing near Munich. In this role, you will shape analytics-ready data products and support data-driven product development across R&D.

Position Description

Are you ready to help shape the future of the printing industry? Join our international and forward-thinking environment and turn data into reliable, secure and reusable products. You will work with modern, state-of-the-art data and engineering tools on our Corporate Data Platform. As an Analytics Engineer, you combine data and software engineering practices and take responsibility for the realisation, operation and continuous improvement of data products throughout their lifecycle.

Your challenge as Analytics Engineer (m/f/d):

• Design and implement transformations from source-aligned data to modelled, analytics-ready data products.
• Build, test, document, version and maintain analytical datasets using dbt or comparable technologies.
• Design, deploy and maintain reliable data-product pipelines, including monitoring, freshness SLAs, alerting and incident handling.
• Take ownership of schema design, data quality, performance optimisation and code quality.
• Ensure secure and compliant data handling and support access control, audit and recovery requirements.
• Apply engineering practices such as CI/CD, automated testing, code reviews and version control.
• Collaborate with domain teams, designers, architects, data consumers, and the CDP Platform and Enabling Team.
• Enable self-service analytics and cross-domain reuse through high-quality, well-documented data products.

Who are we looking for?

• You are an analytical and quality-oriented engineer who takes ownership, communicates clearly and enjoys working across disciplines and locations. In addition, you bring:
• A Bachelor’s or Master’s degree in Computer Science, Data Science, Data Engineering, Software Engineering or a comparable qualification.
• Advanced SQL skills, including analytical data modelling, data quality and performance assurance.
• Hands-on experience with dbt or comparable transformation and testing frameworks.
• Knowledge of Python or a comparable data engineering language.
• Experience with CI/CD, automated testing, code reviews and Git.
• Hands-on experience with AI tools, including agentic development approaches, is a plus
• Understanding of monitoring and observability, security, access management and compliance fundamentals.
• Strong communication skills in English; German language skills are an advantag