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. 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.
Vollzeit
Datenbanken & Data Warehouse
€ 5.000