Senior Data Engineer R&D

Proven experience in data engineering and pipeline development at scale.

Strong understanding of data modeling, databases, and BI ecosystems.

Experience working within structured SDLC and compliance-driven environments (GxP experience is a plus).

Exposure to or strong interest in design thinking methodologies and AI/ML prototyping.

Ability to translate complex data challenges into practical, scalable solutions.

Automation, Data Engineering, Data Governance, Data Maintenance, Data Management, Data Modeling, Data Quality, Data Visualization, Design Applications, Design Thinking, Digital Transformation, Prototyping, Software Development Life Cycle (SDLC), System Designs

Exciting work in a great team, global projects, international environment.

Opportunity to learn and grow professionally within the company globally.

Hybrid working model, flexible role pattern (e.g., even 80% full-time is possible in justified cases).

Pension and health insurance contributions.

Internal reward system plus referral programme.

5 weeks annual leave, 5 sick days, 15 days of certified sick leave paid above statutory requirements annually, 40 paid hours annually for volunteering activities, 12 weeks of parental contribution.

At Our Company, we are driven by the belief that data and technology can transform the future of animals’ well-being.

From accelerating R&D to enabling better decisions across our global operations, we are investing in modern, scalable data platforms that make a meaningful difference.

On this position, you will design, build, and optimize robust data solutions that support advanced analytics, digital innovation, and compliant data usage across our organization.

You will work closely with product teams, data scientists, and business stakeholders to ensure that trusted, high-quality data is always available where it is needed most—while also contributing to modern approaches such as design thinking and AI-driven prototyping.

Design, implement, and maintain complex data pipelines across diverse platforms and systems.

Enable seamless data integration within and between applications, data stores, and organizations.