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Senior Data Engineer (m/f/d)

Freseniusglobal (Fk Careers De) Open
Barcelona Full-time Senior Data Engineering

At a glance

Senior Data Engineering role at Freseniusglobal (Fk Careers De). Barcelona · full-time.

Pay not stated Data Engineer salary

RoleData Engineering
SenioritySenior
LocationBarcelona
EmploymentFull-time
PostedSep 21, 2026
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Build and tune pipelines for structured and unstructured information, integrating sources such as SAP, Salesforce, APIs and flat files
  • Maintain ETL/ELT workflows and data models, warehouses or lakehouse platforms used for analytics and reporting
  • Work with data owners, IT, analysts and business teams to turn needs into technical solutions
  • Track pipeline quality, speed, scale and cost, while automating recurring engineering work
  • Apply data governance, privacy and security controls throughout the data lifecycle

What you bring

  • You have at least six years of practical work in data engineering, data integration or a related area
  • A bachelor’s or master’s degree in computer science, IT, data engineering or a related discipline is required
  • You have built data pipelines, models and platforms, including work with enterprise systems and complex migrations
  • You bring client-facing consulting experience and can explain technical approaches to business leaders

Who this fits

This suits a senior, hands-on engineer who also works directly with clients and cross-functional stakeholders. The role is based in Barcelona, Spain.

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!

Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Engineering

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.