Level

Philips

Procurement Data Engineer

Philips is hiring a Procurement Data Engineer in Eindhoven, Netherlands. It pays €49k-€81k a year and Level rates it ; you can apply on Level.

AI in this role

Build and maintain data pipelines while establishing data foundations for AI-driven procurement solutions.

databrickspythonsqlsapazurepower-platform
data-engineeringdata-pipelinesdata-governancemachine-learningsupply-chain

Job Title

Procurement Data Engineer

Job Description

We are looking for a hands-on Procurement Data Engineer to support procurement digital transformation and enable AI adoption across the function. As part of the Procurement Data Platform team, you will help build and maintain data pipelines that transform and deliver procurement data through the Procurement Data Model. You will also help establish the data foundation required for AI-driven solutions while ensuring master data governance throughout the process.


Your role:

  • You will work at the intersection of data, AI, and Procurement, with a focus on the development and implementation of AI-powered solutions that enhance decision-making and operational efficiency.
  • You will support cross-functional AI initiatives that strengthen Procurement capabilities and accelerate AI adoption across the function.
  • You will contribute to the Source-to-Contract transformation program in SAP by working with Procurement and IT stakeholders, you will help translate business requirements into data solutions and enable the adoption of AI-driven ways of working.
  • You will Identify, evaluate, and drive process improvement opportunities, collaborating closely with respective Business Process Experts (BPEs) to enhance efficiency, effectiveness, and overall performance.


You're the right fit if:

Experience: You have experience working with enterprise business data, preferably in procurement, supply chain, or other operational business functions, with procurement or supply chain experience as an advantage. You have worked with data pipelines and contributed to AI or machine learning solutions, ideally in production environments and regulated industries. You are familiar with data governance and data quality practices and enjoy translating data and AI challenges into practical business solutions.


Education: Bachelor’s or master’s degree in Computer Science, Data Science, Information Systems, Industrial Engineering, Supply Chain Analytics, or related discipline, and experience working at the intersection of technology, data, and business operations.


Skills: You are proficient in SQL and Python, including the Python ecosystem for data engineering and AI. You are experienced with enterprise data platforms, including technologies such as Databricks, SAP, and Azure, or comparable technologies. You have a good understanding of data modelling, data integration, and master data principles. Exposure to Excel and the Microsoft Power Platform is a plus. Knowledge of procurement, supply chain, or ERP data models is advantageous.


Mindset: You're a strong English communicator with a problem-solving mindset, attention to detail, and the ability to thrive in collaborative teams. You stay up to date with industry trends, developments, and best practices, continuously build relevant technical skills, and demonstrate a commercial and growth-oriented mindset.

Collaboration: You like to drive opportunities for improvements together with your stakeholders in Procurement and IT.



Compensation & Benefits

Doing meaningful work should come with fair, transparent rewards. The base salary range for this role is € 48,611.00 – € 81,018.00. We determine pay within the range using objective factors, like the skills the role requires, your relevant experience and the responsibility you'll have in this role, alongside internal equity and local market considerations. This role is eligible for annual incentive, with your rewards linked to KPIs/company results. We’ll share the full approach with you during the interview process, so you can make a clear, informed decision.


Benefits include:

  • Health and well-being programs: to support you mentally and physically, allowing you to stay energized and be your best at work and beyond;
  • Career growth: access to a wide range of tools and resources to further your career, including a personal development budget, training and coaching;
  • Annual leave: 25 days with the option of purchasing up to 20 extra days per year;
  • Financial incentive: individual bonus based on personal performance and/or Philips' annual results;
  • Additional benefits: solid company pension scheme, attractive collective health insurance package and opportunity to buy Philips shares and products with a discount.


How we work together
We believe that we are better together than apart. For our office-based teams, this means working in-person at least 3 days per week. Onsite roles require full-time presence in the company’s facilities. Field roles are most effectively done outside of the company’s main facilities, generally at the customers’ or suppliers’ locations.


About Philips
Are you ready to do the work of your life to help the lives of others? Learn more about our business, discover our rich and exciting history and learn more about our purpose.
If you’re interested in this role and have many, but not all, of the experiences needed, we encourage you to apply. You may still be the right candidate for this or other opportunities at Philips. Learn more about our culture of impact with care.


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#LI-OFFICE

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How we rate this

Procurement Data Engineer at Philips rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Data EngineeringData PipelinesData GovernanceMachine learningSupply ChainDatabricksPythonSQL

Questions you could be asked

  1. Tell me about a project where data engineering was part of your work. What did you do?
  2. Tell me about a project where data pipelines was part of your work. What did you do?
  3. Tell me about a project where data governance was part of your work. What did you do?
  4. Tell me about a project where machine learning was part of your work. What did you do?
  5. Tell me about a project where supply chain was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Data Engineering, Data Pipelines, Data Governance, Machine learning, and Supply Chain. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project — this role expects it to be a running habit.

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