Big Data Engineer in the Netherlands 1173 views

Job Overview

  • Location Utrecht, Netherlands
  • Experience Senior
  • Years Experience + 5 years
  • Salary Negotiable
  • Employment Type Full Time
  • Job Reference 1222

For one of our customers in Utrecht, Netherlands, we are looking for an experienced Big Data Engineer.

As a Big Data Engineer, you collaborate with your business users, data scientists and BI colleagues to design and develop solutions that generate new actionable insights. Together with your scrum team members, you work on complex and challenging projects to make data sources accessible, integrate mobile and fixed data, and present data that’s fit for purpose. The ideal candidate should have excellent communication skills combined with a pragmatic approach and keen sense of humor. You will be part of a large organization with many complex data sources. Your future colleagues come from different backgrounds and cultures and work together in five business domains. As a perceptive data engineer, you contribute to innovation, big data and data privacy initiatives.

The company offers to customers the best in entertainment, mobile and fixed-line phone service and internet. There are over 8000 employees.


  • Large scale data processing using Hadoop frameworks
  • Create reusable Python / Scala code
  • Use the right technologies which fit for purpose
  • Documenting your work
  • Help to improve existing Big Data solutions and technology
  • Work close together with your team members
  • Prioritizing and planning your work
  • Coaching engineers who are less experienced


  • Minimum 7 years of programming experience (Python, Scala, etc)
  • Minimum 5 years of Big Data experience and deep understanding of data processing technology stacks (Hadoop, Spark, Hive, HBase, Kafka, etc.)
  • Deep understanding of streaming data architectures and technologies for real-time and low-latency data processing
  • Experience with data pipeline and workflow management tools such as Oozie or Airflow
  • Ability to drive adoption of Data Engineering best practices and sharing your knowledge
  • Experience with deployments and provisioning automation tools (Ansible, Docker, CI/CD, Kubernetes, Cloudformation or Helm charts)
  • Master degree in Computer Science, Engineering, Data Science or any other related field

Nice to have

  • 2 years of experience or more in Telecomunications market
  • Experience working with Data Science deployments and exposure to Machine Learning techniques
  • Knowledge about data warehouses, technical architectures and data structures
  • Experience in an Agile / DevOps environment


  • Competitive salary
  • Financial benefits (retirement benefits and other employment terms)
  • Growth potential / Career opportunities
  • An ambitious employer and fast growing company
  • Excellent office environment


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