Data Engineering Manager

Summary

As a Data Engineer Manager, you’ll lead the data engineering team and support the data science and/or reporting & analytics team inbuilding scalable Commercial solutions to enhance the medical/sales representative actionable. 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 to support data products for data science and reporting & analytics.
• 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 modelling, 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.
• 7+ years of experience in data engineering with good understanding of healthcare or life sciences. Experience with Commercial is a plus.
• Proven expertise in Python, PySpark 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.
• Proficiency in Cloud based databases like Snowflake is a plus.
• Hands-on experience with ETL tools and BI platforms like Power BI.
• Solid understanding of data architecture, modelling, and analytics concepts.
• Familiarity with Agile methodologies in global project environments.
• Understanding of Data science concepts is a plus
  
  

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, Agile/Scrum

Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people-and-culture

Benefits and Rewards: Learn about all the ways we’ll help you thrive personally and professionally.

Read our handbook (PDF 30 MB)

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