The Role
Leads a data engineering team developing scalable cloud-based data integration and commercial data solutions for healthcare and life sciences. Designs ingestion pipelines, applies data quality and governance standards, automates processes, manages metadata and ontologies, and supports FAIR data practices. Collaborates with architects, vendors, and stakeholders on requirements and feasibility. Uses Python, PySpark, R, AWS, SQL, ETL tools, and BI platforms while supporting training and self-service analytics.
Summary Generated by Built In
Job Description 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.
Job Description
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
Skills Desired
Analytical Thinking, Brand Awareness, Business Analytics, Cross-Functional Collaboration, Digital Marketing, Media Campaigns, Project Management, Project Planning, Sales, Stakeholder Engagement, Stakeholder Management, Waterfall ModelSkills Required
- University degree in Informatics, Computer Sciences, Life Sciences, or a related field
- 7+ years of experience in data engineering
- Understanding of healthcare or life sciences
- 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 and relational databases such as Oracle and Microsoft SQL Server
- Proficiency in cloud-based databases such as Snowflake
- Hands-on experience with ETL tools and BI platforms such as Power BI
- Understanding of data architecture, data modeling, and analytics concepts
- Familiarity with Agile methodologies in global project environments
- Understanding of data science concepts
- Commercial experience in healthcare or life sciences
Novartis Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Novartis and has not been reviewed or approved by Novartis.
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Healthcare Strength — Pay and benefits are described as a strong overall package, supported by medical, dental, and vision insurance alongside FSAs/HSAs and disability and life coverage. Mental-health support is reinforced through an employee assistance program with psychological support and a network of mental health first aiders.
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Retirement Support — Retirement support is positioned as a standout element, with an automatic company contribution plus dollar-for-dollar matching in the 401(k). Additional retirement funding is described through an age-based defined contribution program and access to an employee share purchase plan discount.
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Parental & Family Support — Family-related benefits are framed as robust, including a global minimum of paid parental leave for new parents following birth or adoption. Added supports include domestic partner coverage, dependent-care resources, and benefits such as adoption assistance and child/elder care options.
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The Company
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.
