Senior Data Engineer: Scalable Pipelines & Data Platforms

100055 Fresenius Kabi Deutschland GmbH; Barcelona; Híbrido; EUR 65.000 - 110.000; Jornada completa

Descripción de la vacante

Fresenius Kabi is seeking a Senior Data Engineer to design, develop, and maintain scalable data pipelines and architectures across SAP, CRM, and cloud sources. The role blends hands-on technical work with consulting-style collaboration across IT, analytics, and business stakeholders.

You will build ETL/ELT processes, implement data models and lakehouse solutions (Snowflake, Databricks, Redshift, BigQuery), ensure data quality and governance, and optimize pipelines for performance and cost.

Formación

• Degree in CS/IT or related discipline.
• 6+ years in data engineering or data integration.
• Proven experience designing data pipelines and data platforms.
• Consulting/client-facing experience with cross-functional stakeholders.
• Experience with enterprise systems (SAP, Salesforce, ERP/CRM) and data migration.
• Strong SQL, Python, and/or Scala/Java for data engineering.
• Deep ETL/ELT tool proficiency (Informatica, SAP Data Services, Talend, dbt, ADF).
• Knowledge of data warehouse/lakehouse architectures (Snowflake, Databricks, BigQuery, Redshift, Synapse).
• Experience with Spark, Kafka, Hadoop; data governance tools (Collibra/Alation/Purview).
• Familiarity with MDM/MDG and cloud-native data services.
• Industry experience in regulated sectors is a plus.

Responsabilidades

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

Conocimientos

SQL

Python

Scala/Java

ETL/ELT

Snowflake

Databricks

BigQuery

Redshift

Spark

Kafka

Hadoop

Cloud platforms

Collibra/Alation/Purview

Educación

Bachelor’s or Master’s in Computer Science/IT/Data Engineering

Herramientas

SAP

Salesforce

ERP/CRM systems

Informatica

SAP Data Services

Talend

dbt

Azure Data Factory

Descripción del empleo

Fresenius Kabi is seeking a Senior Data Engineer to design, develop, and maintain scalable data pipelines and architectures across SAP, CRM, and cloud sources. The role blends hands-on technical work with consulting-style collaboration across IT, analytics, and business stakeholders.

You will build ETL/ELT processes, implement data models and lakehouse solutions (Snowflake, Databricks, Redshift, BigQuery), ensure data quality and governance, and optimize pipelines for performance and cost.