Senior Data Engineer: Build Scalable Pipelines & Lakehouse

208002 Fresenius Kabi España S.A.U.; Barcelona; Híbrido; EUR 90.000 - 130.000; Jornada completa

Descripción de la vacante

Fresenius Kabi España S.A.U. is seeking a Senior Data Engineer to design, develop, and maintain scalable data pipelines and architectures. The role blends hands-on technical work with consulting to support analytics, reporting, and advanced data use cases.

You will collaborate with data owners, IT, analysts, and business stakeholders to ensure data availability, quality, and accessibility while leveraging Snowflake, Databricks, and other modern data stack tools across AWS, Azure, and GCP.

Formación

• Bachelor’s or Master’s degree in Computer Science, Information Technology, Data Engineering, or related discipline.
• 6+ years of hands-on data engineering experience.
• Experience designing and implementing data pipelines, models, and platforms.
• Consulting or client-facing experience with cross-functional stakeholders.
• Experience with enterprise systems (SAP, Salesforce, ERP/CRM) and complex data migrations.
• Strong 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).
• Knowledge of data warehouse and lakehouse architectures (Snowflake, Databricks, BigQuery, Redshift, Synapse).
• Experience with big data frameworks (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.

Responsabilidades

• 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.

Conocimientos

SQL

Python

Scala/Java

Data modeling

ETL/ELT design

Consulting

Cloud data platforms

Educación

Bachelor’s or Master’s in CS/IT/Data Engineering

Herramientas

Informatica

SAP Data Services

Talend

dbt

Azure Data Factory

Snowflake

Databricks

BigQuery

Redshift

Synapse

Apache Spark

Kafka

Hadoop

Collibra

Alation

Purview

MDM/MDG

Descripción del empleo

Fresenius Kabi España S.A.U. is seeking a Senior Data Engineer to design, develop, and maintain scalable data pipelines and architectures. The role blends hands-on technical work with consulting to support analytics, reporting, and advanced data use cases.

You will collaborate with data owners, IT, analysts, and business stakeholders to ensure data availability, quality, and accessibility while leveraging Snowflake, Databricks, and other modern data stack tools across AWS, Azure, and GCP.