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Lead Data Engineer

Are you our new senior data engineer who wants to make an impact on our clients' data-challenges? Do you get energy from advising and solving data problems - together with the client and your team? Do you enjoy developing your team members, especially technically, but also on a personal level? If the answer is yes – we are looking for you!

Data & Analytics
Professional (3+)

Your challenges

  • Support multiple clients and projects at the same time
  • Manage the project teams from content perspective
  • Designing robust data transformations and platforms
  • Designing and implementing data architectures for clients
  • Building effective large-scale processing pipelines
  • Do R&D to continuously update our technology stack

This is what you bring

  • Relevant experience in combination with managing several data (engineering) projects at the same time
  • At least 6 years’ experience working as a data engineer
  • Client advising skills
  • Self-starting team player with good communication skills
  • Programming experience with an object-oriented language (e.g. Scala or Python)
  • Familiar with big data tools and Cloud environments
  • Familiar with designing and implementing data processing architectures
* These criteria are an indication of the profile we are looking for. Research shows that male candidates often apply when they see a 60% match with the profile, while women only apply when they see a 100% match. If you don't meet all the criteria but you do believe that this is the right position for you, we kindly invite you to apply anyway or get in touch.

What will you do as
Lead Data Engineer?

Your job includes advising our clients on the design, implementation and assessment of data transformations and data platforms – both batch and streaming. This means you will work closely together with other data engineers, data scientists, project managers, clients and other stakeholders from a content perspective.  You will use the latest design principles to ensure effective and efficient data processing pipelines.

Next to the client facing work you will also help to take the data engineering practice to the next level, mentoring and guiding colleagues and being the driver behind research and development. We take increasing the knowledge of the team so seriously that 20 percent of your working hours are reserved to personal R&D!!

"Design, implement and review transformations and platforms to empower clients to use data in the best way"


Our team of data engineers and data scientists (total of 26) are tech and analytics enthusiasts who go beyond merely applying smart algorithms on large data sets. They work as one team to create solutions at scale – the projects you will work on usually have a duration from 1 to 6 months. We are pragmatic in our approach: we use any platform, tool, or method that fits the case. We perform big data analyses for clients in a variety of sectors like retail, banking, insurance, health and the public sector.

At KPMG team data & analytics we combine deep business experience with cutting-edge data and analytics capabilities to provide our clients with new ground-breaking insights. We work with our clients so that they become future-proof data driven companies. Together with scientist and engineers we tackle our clients' most analytically demanding problems and research new technologies that will change face of the world.

This is what we offer

  • Competitive salary, a bonus, a fixed expense allowance and a working from home allowance.
  • 30 vacation days (on a full-time basis) and the option to buy more days or sell your vacation days.
  • A completely furnished home office
  • A lease car or a mobility budget.
  • A laptop and iPhone which also can be used privately.
  • Pension accrual without a compulsory personal contribution.
  • Choice to pick from different courses which contribute to your own personal and professional development.
  • Focus on well-being! There is a gym at the Amstelveen office or you can get a discount for a gym near your house and you get access to different health and/or vitality programs.
  • ‘Together’ is one of our core values. So you can count on different social activities, like team events, drinks with colleagues and events with all your KPMG colleagues.



Working at client site
Working for client
Internal development
  • Design of Data Pipelines

  • Realization of Data Pipelines

  • Research & (Personal) Development

Yes, I want to apply

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Let’s meet Anniek Blaak

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