Data Engineering Manager
About this opportunity
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.
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 plusSkills DesiredClinical 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
Job details
How this role compares
Computed from every other active Data & Digital role in our database, not just this employer's listings.
We currently track 52 comparable Manager Data & Digital roles across 19 biopharma companies.
Salary context
27 of 52 peers report a salary range (USD, annualized)
Peers share this role's job function and a matching or adjacent seniority level -- not necessarily the same therapeutic area or country.
Where these roles are based
Top locations among the 52 comparable roles
+ 1 more countries
Seniority mix
52 of 52 peers have a known seniority level
Therapeutic area mix
1 of 52 peers have a known therapeutic area; the rest are genuinely unlabeled, not hidden
Similar opportunities
The closest matches from our peer group, ranked by how similar they are, not how well you'd qualify for them -- treat this as market context, not a guaranteed shortlist; a weak match is labeled as one below.
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How we calculate "similar"
No black box, no LLM guesswork: a deterministic score built from four normalized attributes. Here's this role's own peer group at different match levels, so you can see the mechanism, not just the result.
Every comparison starts from the same 100-point budget: 25 for working in the same function, 40 for the same therapeutic area, 20 for the same or adjacent seniority, 15 for the same country. A dimension we can't confirm on both sides contributes nothing, never a guess, never a free pass.
0 points, never a partial guess. A role we know almost nothing about beyond its function bottoms out at 25%; it never inflates to 100% just because there's little to compare against. Seniority uses a defined ladder (Associate → Manager → Associate Director → Senior → Principal → Director → Senior Director → Executive/VP) so "Director" and "Senior Director" count as adjacent, but "Director" and "Executive/VP" do not.