About the role

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.

Your key responsibilities

- 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.

Your skills and experiences

- Bachelor’s or Master’s 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

Why Join Us?

At Fresenius Kabi, you’ll contribute to something meaningful: delivering life-saving therapies to patients around the world. As part of a integral 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.

Fresenius Kabi (www.fresenius-kabi.com) is a global health care company that specializes in injectable medicines, biosimilars, and technologies for infusion, transfusion, and clinical nutrition. Our expansive portfolio of products and global network of science and manufacturing centers provide essential support for the care of critical and chronically ill patients. With more than 40,000 employees worldwide, our dedicated team is united by our shared purpose: to put lifesaving medicines and technologies in the hands of people who care for patients - and to find answers to the challenges they face. We call this purpose caring for life. Follow us on LinkedIn to learn more: https://www.linkedin.com/company/freseniuskabi/

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📌 Senior data engineer (m/f/d) (Cataluña)
🏢 100055 Fresenius Kabi Deutschland
📍 Cataluña