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# Data Engineer Associate Director

- **Company:** Es06 Novartis Farmacéutica, S.a.
- **Location:** Barcelona, Spain
- **Salary:** €52,400.0 - €97,400.0
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Amazon Web Services, Continuous Integration, Data Architecture, Information Engineering, Data Integration, Extract Transform Load (ETL), Relational Databases, DevOps, Python (Programming Language), Microsoft SQL Server, Oracle (Applications), Power BI, SQL Databases, Data Ingestion, Information Technology, Data Management, Data Pipelines, GXP, Alteryx
- **Published:** July 22, 2026
- **Apply:** https://www.adzuna.es/contact-us.html

## About the Role

+ University degree in Informatics, Computer Sciences, Life Sciences, or a related field.
 + Minimum 14 years of experience in data engineering within healthcare or life sciences.
 + Proven expertise in Python and R for ETL and BI data product development.
 + Strong experience with DevOps, AWS cloud data integration and third-party ingestion tools.
 + Proficiency in SQL for relational databases such as Oracle and MS SQL Server.
 + Hands-on experience with ETL tools like Alteryx and BI platforms like Power BI.
 + Solid understanding of data architecture, modeling, and analytics concepts.
 + Familiarity with Agile methodologies and GxP compliance in global project environments.

## Description

Are you ready to shape the future of data engineering in life sciences? As a Data Engineer Associate Director, you'll lead the transformation of complex business needs into scalable data solutions that power innovation across Novartis' TRD platforms. You'll be at the forefront of cloud-based data integration, driving automation, quality, and efficiency while collaborating with cross-functional teams to deliver impactful insights. This is your opportunity to make a real difference in global healthcare through cutting-edge data engineering.
About the Role
Major accountabilities:

 + Design scalable data ingestion and integration solutions for TRD data platforms.
 + Ensure data quality by applying business and technical rules throughout its lifecycle.
 + Identify and implement automation opportunities to streamline data processes.
 + Build data pipelines using Python and CI/CD workflows for seamless data integration.
 + Collaborate with solution architects and vendors to align with best practices.
 + Apply data management principles including modeling, harmonization, and ontology standards.
 + Manage metadata effectively and leverage enterprise ontology tools.
 + Ensure adherence to FAIR data principles across applicable projects.
 + Conduct feasibility assessments and define project requirements with stakeholders.
 + Support end-user training and promote self-service data capabilities.


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