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Medior Big Data Engineer

Are you our new data-expert who wants to make an impact on our clients' data-challenges?

Data & Analytics
Professional (3+)

Your challenges

  • Designing robust transformations
  • Buiding effective large-scale processing pipelines
  • Creating real-time applications
  • Handling multiple projects at the same time
  • Creating impact for and with our clients

This is you

  • A Bachelor's degree in a Computer Science related field
  • 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 techniques (such as Spark, Flink, DevOps)
  • Familiar with data storage tools and techniques (such as Data Lakes and Data warehouses)
* 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.
KPMG Technology
KPMG Technology
KPMG Technology

Your role as
Medior Big Data Engineer?

Our team of data scientists and engineers are tech and analytics enthusiasts who go beyond merely applying smart algorithms on large data sets. 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 and health. 

"Change the face of the world with Big Data. At KPMG 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 the face of the world. 

What we offer

  • Working with experienced data engineers and scientists
  • Dynamic environment where you can learn handling multiple projects simultaneously 
  • Time for research and development 
  • A dedicated environment regarding personal development and growth
  • Market-based salary and good secondary benefits
  • Lease car, laptop and iPhone
  • 30 holiday days and benefits on demand 
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

* Required field

Let’s meet Patricia Lakeman