Data Engineer Associate Director

Reposted Yesterday
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Grania, Barcelos, Braga
In-Office
Expert/Leader
Biotech • Pharmaceutical
The Role
Lead the transformation of data engineering in life sciences by designing scalable data integration solutions, ensuring quality, and driving automation. Collaborate with teams to deliver insights and support the implementation of best practices.
Summary Generated by Built In

Job Description Summary

#LI-Hybrid
Primary Location: Barcelona, Spain
Relocation Support: This role is based in Barcelona, Spain. Novartis is unable to offer relocation support: please only apply if accessible.
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.


 

Job Description

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. 

Minimum Requirements:

  • 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.

Why Novartis: Our purpose is to reimagine medicine to improve and extend people’s lives and our vision is to become the most valued and trusted medicines company in the world.

How can we achieve this?

With our people. It is our associates that drive us each day to reach our ambitions. Be a part of this mission and join us! Learn more here: https://www.novartis.com/about/strategy/people-and-culture

Join our Novartis Network: If this role is not suitable to your experience or career goals but you wish to stay connected to hear more about Novartis and our career opportunities, join the Novartis Network here:

https://talentnetwork.novartis.com/network


 

Skills Desired

Clinical Data Management, Cross-Functional Team, Data Architecture, Data Governance, Data Management, Data Quality, Data Science, Data Strategy, Drug Development, Master Data, People Management, Waterfall Model

Top Skills

Alteryx
AWS
Power BI
Python
R
SQL
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The Company
HQ: Basel
110,000 Employees
Year Founded: 1996

What We Do

Novartis is an innovative medicines company. Every day, working to reimagine medicine to improve and extend people’s lives so that patients, healthcare professionals and societies are empowered in the face of serious disease. Our medicines reach more than 250 million people worldwide.

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