Senior Data Engineer (mfd)

The Senior Data Engineer will be responsible for designing developing and maintaining scalable data pipelines and architectures. The role involves working closely with data Owners IT analysts and business stakeholders to ensure data availability quality and accessibility for analytics reporting and advanced data use cases. We are looking for a highly skilled Senior Data Engineer to take on a hybrid role that is both hands-on technical and consulting oriented.

• Design build and optimize data pipelines for structured and unstructured data.
• Develop and maintain ETL/ELT processes to integrate data from multiple sources (SAP Salesforce APIs flat files cloud platforms etc.).
• Ensure data quality consistency and governance across the data lifecycle.
• Implement and manage data models warehouses and lakehouse solutions (e.g. Snowflake Databricks Redshift BigQuery).
• Collaborate with stakeholders to translate business requirements into technical solutions.
• Monitor and improve data pipelines for scalability performance and cost efficiency.
• Ensure compliance with data security privacy and governance standards (GDPR HIPAA etc.).
• Automate repetitive data engineering tasks and adopt DevOps/DataOps best practices.
• Work closely with cloud platforms (AWS Azure GCP) and modern data stack tools.

• Bachelors or Masters degree in Computer Science Information Technology Data Engineering or related discipline.
• Over 6 or more years of hands-on experience in data engineering data integration or related fields.
• Proven experience in designing and implementing data pipelines data models and data platforms.
• Strong exposure to consulting client-facing roles working with cross-functional stakeholders.
• Experience with enterprise systems (SAP Salesforce ERP CRM) and complex data migration projects.
• Strong proficiency in SQL Python and/or Scala/Java for data engineering and automation.
• Deep expertise with ETL/ELT tools (Informatica SAP Data Services Talend dbt Azure Data Factory).
• Strong knowledge of data warehouse and lakehouse architectures (Snowflake Databricks BigQuery Redshift Synapse).
• Experience with big data frameworks (Apache Spark Kafka Hadoop).
• Familiarity with data governance lineage and cataloging tools (Collibra Alation Purview).
• Knowledge of Master Data Management (MDM/MDG).
• Practical expertise with cloud platforms and their native data services.
• Industry experience in regulated sectors (Pharma Healthcare Finance or Manufacturing) is an advantage.
• Strong communication and presentation abilities with the capability to simplify technical solutions for business leaders

At Fresenius Kabi youll contribute to something meaningful: delivering life-saving therapies to patients around the world. As part of a global transformation you will work in a highly visible impactful role with the opportunity to shape how we manage software development and delivery. You will join a diverse and dynamic team in a collaborative environment where your expertise will help drive innovation efficiency and quality across our digital landscape.

Apply now and help us shaping #FutureFresenius!