Data Integrity Engineer

Capgemini; Utrecht; On-site; EUR 40,000 - 59,000; Full time

Benefits offered by this job

Mobility allowance

8% holiday allowance

26 vacation days

Career development programs

Pension contributions

Home office allowance

High-performance laptop

SIM card for personal use

FlexAbroad: up to 45 days abroad

Freedom and responsibility

Job summary

Capgemini Engineering is seeking a Data Integrity Engineer for a client in the pharmaceutical sector in Leiden. You will optimize data storage, assess risks, and develop risk mitigation initiatives while collaborating with Capgemini colleagues and client representatives on data processes and audit trails.

The role involves creating data flow diagrams in Visio, conducting risk assessments, and ensuring GMP-compliant CSV validation practices, with opportunities for professional growth and exposure

Qualifications

• Bachelor’s or Master’s degree in a technical field relevant to pharma/biotech (e.g., Food Technology, (Bio)Process Technology, Chemistry).
• Solid understanding of GMP regulations and relevant industry standards.
• Knowledge of ALCOA+ principles.
• Hands-on experience with Computer Systems Validation (CSV) is valuable.
• Experience in preparing risk assessments and documentation.

Responsibilities

• Optimize data storage and minimize data vulnerability.
• Collaborate with Capgemini Engineering colleagues and client representatives to define data processes and audit trails.
• Create data flow diagrams based on Visio and develop risk mitigation initiatives.

Skills

GMP knowledge

ALCOA+ principles

CSV experience

Risk assessments

Education

Bachelor’s or Master’s degree in Food Technology, (Bio)Process Technology, Chemistry, or related technical field

Tools

Visio

Job description

For a client working in the pharmaceutical industry, located in Leiden, we are looking for a Data Integrity Engineer to help optimize data storage and minimize data vulnerability. In this role, you will be working with production equipment and creating data flow charts based on Visio. You will work alongside both Capgemini Engineering colleagues and client representatives at the client location, collaborating on defining data processes, preparing risk assessments, and developing risk mitigation initiatives. These risks can range from manual entries to missing audit trails.

Your profile

• A Bachelor’s or Master’s degree in Food Technology, (Bio)Process Technology, Chemistry, or a related technical field.
• Solid understanding of GMP regulations and relevant industry standards.
• Knowledge of ALCOA+ principles.
• Hands‑on experience with Computer Systems Validation (CSV) is valuable to this role as well.
• Experience in preparing risk assessments and documentation.

Due to client screening requirements, this vacancy is applicable for EU passport holders only.

What we offer

• A gross salary between €3.600 and €5.300 per month, including a mobility allowance of €850 and 8% holiday allowance (based on a 40‑hour workweek).
• 26 vacation days, with the option to purchase additional leave days.
• Engagement in projects that directly impact industrial technology and innovation, where you can collaborate with top engineers and expand your expertise.
• Access to career development programs, certifications, and digital learning platforms to support your growth.
• Contributions to your pension, with the flexibility to make additional personal contributions.
• Work from wherever suits you best with our connectivity and home office allowance.
• A high-performance laptop and a SIM card that you may also use for personal purposes.
• FlexAbroad: Work up to 45 days per year from abroad.
• A high level of freedom and responsibility in your work.

Your work environment

With over 200 colleagues, our Manufacturing & Industrial Operations department offers significant and meaningful contributions to various organisations in The Netherlands and occasionally abroad. Our people have expertise in offering partnerships and solutions around industrial automation, smart factory, and data science. Our projects vary tremendously, from upgrading automation systems for a vaccin production line, designing smart sensors based on IoT and cloud technology to reduce food waste, to developing predictive models to optimize warehouse logistics. Sometimes you are working as technical coordinator in large project teams of over 50 colleagues, and at other times you are working on a solution with only two or three other colleagues.

This makes our work highly unpredictable in scope, project duration, and commuting time, yet also incredibly rewarding in terms of learning and growth opportunities. And the best thing is, everyone has your back in becoming successful, because our clients and partners depend on it.