Senior Data Integration & Analytics Engineer

Pfizer; Germany (OH); On-site; USD 98,000 - 127,000; Full time

Benefits offered by this job

Pfizer in Balance program

BRAVO Award program

Retirement benefits

Job summary

Pfizer is seeking a Data Integration & Systems Senior Engineer for the Freiburg site to lead end-to-end data strategy, governance, and compliant data handling across systems.

Responsibilities include designing and enabling secure data flows, managing integration lifecycles, and collaborating with automation, IT, quality, and business partners to drive data-driven improvements and innovations.

Qualifications

• Bachelor’s degree in engineering, Computer Science, Information Systems, Life Sciences, or related technical field.
• 2–4 years’ experience in information technology systems/infrastructure or specialist knowledge of process automation/process control systems.
• 1–2 years in a regulated manufacturing environment (pharma or similar preferred).
• Experience with Lean/Operational Excellence Project/program management (PMI, Agile, SDLC) and continuous improvement (e.g., Six Sigma).
• IT infrastructure management (e.g., ITIL) and GMP regulatory requirements experience preferred.

Responsibilities

• Data Strategy, Standards & Governance: coordinate and contribute to the site data strategy ensuring compliance and governance.
• System Integration & Data Flow Enablement: design and manage data connectivity and lifecycle management across system layers.
• AI, Analytics & Innovation Enablement: partner with teams to implement data-driven use cases and scale AI initiatives.

Skills

Data architecture

System integration

Data governance

GxP data integrity

AI & analytics

Cross-functional collaboration

Regulatory compliance

Education

Bachelor’s degree in engineering, Computer Science, Information Systems, Life Sciences, or related technical field

Tools

ITIL

Job description

Pfizer is seeking a Data Integration & Systems Senior Engineer for the Freiburg site to lead end-to-end data strategy, governance, and compliant data handling across systems.

Responsibilities include designing and enabling secure data flows, managing integration lifecycles, and collaborating with automation, IT, quality, and business partners to drive data-driven improvements and innovations.