Data Engineer, Medical Data Foundation

Description

The company is a pharmaceutical business that puts patients first and works to meet unmet medical needs worldwide. It rewards people who act quickly, lead with confidence, collaborate, and are curious about what science can do.

The Medical Data Team supports an industry-leading Medical team that produces and communicates medical evidence to change medical practice. The medical data foundation (MDF) makes AI-ready data available to the Medical business.

The Associate Director, MDF (ADMDF) will improve how the company captures, organizes and uses data to produce insights and raise business performance. You will work with IT to set up sound data governance and build a strategy for using data to understand the business better. You will work with analytics teams, Medical stakeholders, external vendors and IT to keep data assets governed so analytics run smoothly, business value grows and existing technology platforms are used to their full potential. You will own data product management, self-service analytics and metrics governance.

The role involves frequent, open communication with partners at all levels to set direction and a data strategy. You will work with other Data Offices on AI enablement and on broader, enterprise-aligned insights. You will work both independently and within matrixed teams, leading and defining collaborative data governance.

You will map information flows across many systems, decide which future solutions are right, and influence Medical stakeholders and Global IT to define solutions and deliver them in line with standards.

The role needs strong data management skills, healthcare industry knowledge, solid project management, and the ability to influence stakeholders and build relationships.

Responsibilities

• Build a repeatable, defined process to onboard new data sets quickly and efficiently into an MDF made up of several data products, so the data is high quality, follows business rules, and can be found and used by Medical teams in analytics and AI solutions
• Work with internal stakeholders to build strategies for using data to understand the company's business, its effect on the patient journey, and customer engagement
• Help the platforms and process workstreams define the common data model vision, data sourcing approach, data transformation approach and data reconciliation approach
• Identify data sources and lead key data design decisions
• Monitor data quality to protect global data integrity and reporting consistency, and raise issues with the right teams or people
• Oversee data accuracy processes and goals, assess them, and explain data models to development team members so the data structures are implemented and used correctly
• Query data sets to confirm business rules and requirements, and resolve data conflicts between and within systems
• Support the overall data architecture, and develop, prioritize and recommend initiatives and solutions that improve it and extend it for the business
• Work with IT across the data life cycle, including modelling for Data Hub, Data Warehouse, Data Mart and Analytic Platform projects, in line with the target data architecture
• Keep data processes and usage consistent, and champion data management best practices
• Work with vendors and stakeholders at many seniority levels across functions
• Advance data management best practice, and work closely with IT and Privacy teams to apply the strictest governance standards for protection and security across data management and reporting
• Understand new data privacy and data management guidelines, and lead the actions needed to implement them
• Monitor the market to find best-in-class data capabilities the company can adopt and use
• Support Medical platforms to keep data accurate and complete across ingestion, transformation and reporting

Requirements

• Essential: University degree; a Master's degree is preferred
• Essential: At least 5 years in business analysis, financial analysis or a related field
• Essential: At least 3 years in medical data analytics
• Essential: At least 2 years of data modelling experience
• Essential: Experience with AI and LLMs
• Essential: Experience working and delivering in a global organization
• Essential: Experience working on a cross-functional team in a matrix organization
• Essential: Pharmaceutical or healthcare industry experience
• Essential: Expert in logical and physical modelling, mappings, and conformed dimensions and SCDs; experience with enterprise data platforms such as Snowflake or Synapse
• Essential: At least 3 years building ELT or ETL pipelines with tools such as ADF, Databricks or dbt, including lineage and orchestration
• Essential: Experience building and deploying text models; understanding of how data supports analytics, ML and AI-ready datasets; familiarity with taxonomies, ontologies, knowledge graphs and semantic structures
• Essential: Experience setting up quality rules, monitoring and issue resolution; proven global reporting consistency and integrity; ability to define and maintain taxonomies, controlled vocabularies and metadata, using tools such as Collibra, Alation or Informatica
• Essential: Advanced SQL, including joins and window functions, to validate business rules and reconcile cross-system conflicts
• Essential: Working knowledge of data protection and security; experience partnering with IT and Privacy to put controls in place
• Essential: Influence across Medical, IT and vendors; explain complex topics clearly at every level; strong facilitation skills to align cross-functional teams on standards and definitions
• Essential: Plan, prioritize and deliver multi-workstream programs in matrixed, global teams; manage resources and outcomes; solve problems and bring clarity to ambiguous situations
• Essential: Excellent spoken and written English
• Preferred: Python and SQL for data engineering and validation
• Preferred: Business performance management, including defining OKRs and metrics and tracking value realization

Conditions

Hybrid working: 3 days per week in the office

The role is based at the Warsaw site, where the company has over 400 sites

Posted 28 October 2026; closes 12 November 2026

The company embraces diversity and equal opportunity, welcomes applications from all qualified candidates, and complies with all applicable non-discrimination, work authorization and employment eligibility laws

Benefits

• Access to a multisport card
• Pension plan
• Life insurance
• Private medical care
• Lunch card
• After-work events
• A supportive team
• A bright, spacious office and a sustainable working environment