Data Engineer

Exciting Opportunity for Data Engineers with a solid business process understanding

Are you passionate about transforming business processes through data? Do you thrive at the intersection of ERP systems, data modelling, advanced analytics, and process mining?

Grundfos is looking for a Data Engineer to join our Process Intelligence team in Group Supply Chain, where you will help shape the future of digital twins and data-driven decision-making across multiple business process areas - not limited to Supply Chain. Are you eager to apply your skills in a dynamic and supportive environment? Look no further

You will join a multinational department with 6 colleagues, all working with performance that enables efficient decision making in core business processes, and process mining to unlock potential for process optimization, automation and conformance. We guarantee a steep learning curve, and we look forward to sharing our knowledge with you – and hear about your ideas.

What is the job about?

As a Data Engineer, you will develop and maintain medium-complex data models that span multiple functional areas. These models power our advanced analytics and process mining tools, enabling real-time insights and automation across Grundfos. You will work with advanced coding, APIs, and ERP connectivity —primarily SAP— to ensure data integrity, performance, compliance and security.

You will collaborate with process owners, IT specialists, and analytics teams to build scalable, secure, and documented data models. You will also play a key role in upskilling colleagues and validating analytics to ensure quality and consistency.

We believe that everyone in Grundfos has passion and potential – as well as the power to influence.

Your key responsibilities will be:

• Independently develop and maintain data models and transformations for analytics, process mining and automation.
• Connect live ERP systems (e.g., SAP) to analytics platforms using APIs and custom code.
• Ensure data model compliance with security and documentation standards.
• Optimize system performance and data model efficiency.
• Collaborate with IT teams and process excellence functions across the organization.
• Upskill data analysts and business users on data model usage and analytics.
• Participate in peer validation of analytics to ensure stakeholder-ready outputs.

The position is full time and will be based in Indjija, Serbia. A permanent residence is required. No relocation will be supported.

What do you need to apply?

• Master's degree in Business Administration, Business Engineering, Data Science — or equivalent experience
• 3–4 years of experience in data modelling, ideally within process mining platforms
• Hands-on experience with ERP systems (SAP preferred)
• Proficiency in Python, SQL/PQL, and other advanced coding languages
• Strong understanding of business processes and their interdependence
• Experience with process analysis, problem-solving, and project/change management
• A curious mindset, collaborative spirit, and eagerness to learn and share knowledge
• You have an international outlook and speak and write English fluently.

What's in it for you?

Whether it's developing skills or advancing your expertise even further, we'll support you with continuous learning and development opportunities, to help discuss and steer your long-term Grundfos career path. You'll be welcomed from day one into an inclusive and trusting environment, where we benefit from sparring and using each other's competence to deliver on our projects and commitments to the organization guided by six core values.

In addition, your day-to-day benefits include:

• On top of it, flexible working hours and up to 3 days' additional paid leave for volunteering of your choice
• Annual bonuses, health insurance, parental support, internal well-being consultants and programs
• Access to the modern Grundfos Academy to pursue further both personal and professional development.
• Diverse, inclusive environment with employee-led forums offering colleagues a safe place to connect and share openly
• Hands-on Experience: Gain practical experience in logistics and supply chain management.
• Mentorship: Work closely with experienced professionals who will guide and support your development.
• Innovative Environment: Be part of a team that values creativity and innovation.

Additional information

If you have any questions, please do not hesitate to contact Senior Manager Process Intelligence Astrid Holm Jensen at

If this sounds appealing to you, please send your resume and cover letter today and no later than 3rd of December by clicking on the link "Apply for this job".We encourage you to send your application as soon as possible.

We look forward to hearing from you.