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IT Data Engineer
Freudenberg Group. Construct and maintain robust, scalable data pipelines integrating data from multiple sources .
Tech Stack
Tools & technologiesAzureCloudPythonSQL
About the role
Key responsibilities & impact- Construct and maintain robust, scalable data pipelines integrating data from multiple sources
- Develop efficient database solutions to collect, store, secure, and provide access to data
- Create algorithms that transform raw data into actionable insights aligned with business objectives
- Evaluate and enhance data systems and processes for improved efficiency and reliability
- Implement systems to validate data accuracy and consistency
- Collaborate with machine learning engineers, data scientists, analysts, and other stakeholders
Requirements
What you’ll need- Bachelor's degree in Computer Science, Data Engineering, Information Systems, Business Informatics, or a related field
- Demonstrated experience as a Data Engineer or in a similar role
- Strong knowledge of SAP Datasphere, SAP Business Data Cloud (BDC), SAP Analytics Cloud (SAC), SAP HANA, CDS Views, ABAP fundamentals, SAP data extraction frameworks, and analytical data modeling best practices
- Proficiency in Python and SQL
- Strong knowledge of relational and non-relational databases
- Experience designing and optimizing data pipelines, architectures, and datasets
- Experience integrating SAP and non-SAP data sources
- Experience leveraging SAP Datasphere, SAP Data Integration capabilities, Databricks, and modern data engineering frameworks
- Knowledge of cloud-based data platform architectures and modern cloud technologies
- Understanding of reporting, analytics, planning, and business intelligence processes, including underlying data models and requirements
- Excellent communication skills in English; German is a plus
- Azure services and Infrastructure-as-Code concepts are a plus
- Strong team-oriented mindset, creativity, and motivation to contribute to a shared vision