Senior Data Engineer Lead – Pipelines & Architecture

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

Descripción de la vacante

Fresenius Kabi is seeking a Senior Manager Data Engineer to design, develop, and maintain scalable data pipelines and architectures. This hybrid role blends hands‑on technical work with client‑facing consulting.

You will work with data owners, IT, analysts, and business stakeholders to ensure data availability, quality, and accessibility for analytics and reporting. The ideal candidate has 6+ years in data engineering, strong SQL/Python/Scala/Java skills, and experience with modern data stack

Formación

• 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.

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 pipelines

Consulting

Communication

Educación

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

6+ years hands-on data engineering

Herramientas

Informatica

SAP Data Services

Talend

dbt

Azure Data Factory

Snowflake

Databricks

BigQuery

Redshift

Synapse

Apache Spark

Kafka

Hadoop

Collibra

Alation

Purview

Descripción del empleo

Fresenius Kabi is seeking a Senior Manager Data Engineer to design, develop, and maintain scalable data pipelines and architectures. This hybrid role blends hands‑on technical work with client‑facing consulting.

You will work with data owners, IT, analysts, and business stakeholders to ensure data availability, quality, and accessibility for analytics and reporting. The ideal candidate has 6+ years in data engineering, strong SQL/Python/Scala/Java skills, and experience with modern data stack