Senior Data Engineer (m/f/d)
Freseniusglobal (Fk Careers De) Open At a glance
Senior Data Engineering role at Freseniusglobal (Fk Careers De). Barcelona · full-time.
Pay not stated Data Engineer salary
dataroles summary, based on the employer's posting.
What you'll do
- Build and tune pipelines for structured and unstructured data, keeping them scalable and efficient
- Connect sources such as SAP, Salesforce, APIs and flat files through ETL/ELT workflows
- Maintain data quality, governance and security across data models, warehouses and lakehouse systems
- Turn stakeholder needs into technical data solutions, then monitor performance and operating costs
- Automate recurring engineering work and apply DevOps or DataOps practices across cloud data services
What you bring
- A bachelor's or master's degree in computer science, IT, data engineering or a related discipline
- At least six years of practical work in data engineering, data integration or a related area
- A track record building data pipelines, models and platforms, including complex migrations and enterprise systems
- Strong SQL and Python skills, plus expertise with ETL/ELT tools and warehouse or lakehouse architectures
- Client-facing consulting experience and the ability to explain technical choices clearly to business leaders
Who this fits
This senior, hands-on role also involves advising and working with business and technical stakeholders. It suits someone experienced with enterprise data integration and cloud platforms, and comfortable addressing data governance and regulated-sector requirements.
From the employer
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 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
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