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Data Engineer
role at
B. Braun Group
This role focuses on the intersection between deep SAP knowledge and modern Azure Data Engineering skills. You will develop, maintain, and optimize data pipelines on Azure, handling complex financial data extracted from SAP systems.
Your Tasks in the Team
Develop, maintain, and optimize data pipelines on the Azure-based Data Analytics Platform, primarily leveraging Databricks, Azure Data Factory (ADF), and related tools.
Integrate and manage data from internal APIs, streaming sources, and especially from SAP technical structures (FI/CO), ensuring seamless data transformation and availability.
Support event‑driven analytics and provide real‑time data for business and clinical dashboards.
Collaborate closely with fellow data engineers, data scientists, and business stakeholders, especially those in the Finance department, to implement secure and scalable data solutions.
Contribute to technical documentation, participate in code reviews, and drive the continuous improvement of data engineering practices.
Ensure full compliance with data governance, security, and regulatory requirements.
Apply your functional SAP knowledge to design more effective data solutions, serving as a liaison between the technical data platform and business requirements.
Your Experience In The Backpack
Profound and practical experience with SAP, prioritizing the financial domain (FI/CO) and knowledge of SAP data structures and how to extract and understand financial data.
A background that includes consulting experience or high functional maturity within the SAP domain, enabling you to act as an expert and bridge business understanding gaps.
Proven experience building and maintaining cloud‑based data pipelines, ideally on Microsoft Azure.
Practical, hands‑on knowledge of modern data processing platforms, specifically Databricks and Azure Data Factory.
Proficiency with Python for data processing, including experience with PySpark and/or Pandas.
Strong SQL skills for data manipulation and analysis.
Familiarity with event‑driven architectures and real‑time data streaming.
Experience working in Agile/Scrum environments.
Demonstrated strong analytical skills, attention to detail, and a solution‑oriented mindset.
Fluent in English (written and spoken).
Seniority level: Mid‑Senior level Employment type: Full‑time Job function: Information Technology Industries: Medical Equipment Manufacturing
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