Senior Data Engineering Leader - Pipelines, Lakes & Cloud

Fresenius Kabi USA; Barcelona; Híbrido; EUR 70.000 - 110.000; Jornada completa

Descripción de la vacante

Fresenius Kabi USA is seeking a Senior Manager Data Engineer to design, build, and maintain scalable data pipelines and architectures, collaborating with data owners, IT, analysts, and business stakeholders. This hybrid role blends hands-on engineering with consulting to enable analytics and advanced use cases.

The position focuses on data quality, governance, and modern data stack tools across Snowflake, Databricks, BigQuery, Redshift, and more, while ensuring GDPR/HIPAA compliance and

Formación

• Bachelor’s or Master’s degree in CS/IT/Data Engineering.
• 6+ years of hands-on data engineering experience.
• Experience with SAP and Salesforce and complex data migrations.
• Strong SQL, Python, and Java/Scala.
• Proficiency with ETL/ELT tools.

Responsabilidades

• Design, build, and optimize data pipelines for structured and unstructured data.
• Develop and maintain ETL/ELT processes to integrate data from SAP, Salesforce, APIs, files, cloud platforms, etc.
• Ensure data quality, governance, and lifecycle management.
• Implement data models, warehouses, and lakehouse solutions (Snowflake, Databricks, Redshift, BigQuery).
• Collaborate with stakeholders to translate business requirements into technical solutions.
• Monitor and improve pipelines for scalability, performance, and cost efficiency.
• Ensure GDPR, HIPAA, and data security compliance.
• Automate DataOps tasks and adopt DevOps/DataOps practices.
• Work with AWS, Azure, GCP and modern data stack tools.

Conocimientos

SQL

Python

Scala

Java

Educación

Bachelor's or Master's degree in Computer Science / IT / Data Engineering

Herramientas

Informatica

Azure Data Factory

dbt

Talend

Snowflake

Databricks

BigQuery

Redshift

Descripción del empleo

Fresenius Kabi USA is seeking a Senior Manager Data Engineer to design, build, and maintain scalable data pipelines and architectures, collaborating with data owners, IT, analysts, and business stakeholders. This hybrid role blends hands-on engineering with consulting to enable analytics and advanced use cases.

The position focuses on data quality, governance, and modern data stack tools across Snowflake, Databricks, BigQuery, Redshift, and more, while ensuring GDPR/HIPAA compliance and