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

• Modern Data Platform
• AI & Analytics

Firmenprofil 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.

Aufgabengebiet

• 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

Anforderungsprofil

• 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

Vergütungspaket

• 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.

Kontakt: Sarah Nirnberger Referenznummer: JN-102026-7118486