Data Engineer (m/f/d) - Azure / Databricks

• Design, develop and maintain scalable data pipelines and data integration solutions
• Build and optimize modern Cloud Data Platforms and Lakehouse architectures
• Integrate data from SAP and non-SAP source systems
• Develop reliable and scalable ETL/ELT processes
• Design and implement data models and data products for BI, analytics, AI and automation
• Work with Azure Databricks, Python, SQL and Spark/PySpark
• Contribute to the continuous development of the company's Data Architecture
• Ensure high standards of data quality, performance, availability and monitoring
• Collaborate closely with BI, IT, business stakeholders and other technical teams
• Translate business requirements into scalable and sustainable data solutions
• Identify opportunities to improve data processes, automation and overall data accessibility
• Contribute to the development of a modern, future-oriented enterprise data platform

• 3-5 years of professional experience in Data Engineering, Cloud Data Engineering, Big Data or a related field
• Strong knowledge of SQL, data modelling and data integration
• Hands-on experience with ETL/ELT processes and data pipelines
• Good programming skills in Python
• Experience with Apache Spark / PySpark
• Practical experience with Microsoft Azure and Azure Databricks
• Understanding of modern Cloud Data Platform and Lakehouse architectures
• Experience with SAP Datasphere or SAP Business Data Cloud is a plus
• Strong analytical and problem-solving skills
• Structured, independent and solution-oriented approach to work
• Excellent communication and collaboration skills
• German or English language skills - both are welcome

Our client is a successful, internationally operating company in the food industry and a leading provider of innovative solutions in its field.
With more than 2,400 employees across 21 locations in Europe, North America and Asia, the company combines international scale with a strong focus on innovation, quality and sustainable growth. Its products and solutions are used by thousands of customers worldwide.
The company is currently investing heavily in digitalization, data and technology, making this an exciting opportunity for a Data Engineer who wants to have a real impact on the development of a modern enterprise data environment.

• Modern technology stack: Work with cutting-edge technologies including Microsoft Azure, Databricks, Python, SQL and PySpark.
• Real impact: Take an active role in building and developing a modern Cloud Data Platform that supports Analytics, AI, Business Intelligence and automation.
• Flexible working: Benefit from a hybrid working model
• No all-in contract: Your additional working hours are not covered by an all-in agreement.
• International environment: Work with colleagues and stakeholders across an internationally operating organization.
• Professional growth: Develop your expertise in Cloud Data Engineering, Data Architecture, AI and modern analytics technologies.
• Long-term perspective: Join a stable and growing company that is actively investing in digitalization, data and technology.
• Collaborative culture: Enjoy an environment where you can contribute your ideas, take ownership and work closely with both technical and business teams.