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Data Engineer

Rotterdam, South Holland , Negotiable

Date Posted

2018-02-26 15:07:00 +0000



Job Type



Data Engineering

Data Engineer

Do you have experience with cloud computing environments (Azure, Google Cloud, Amazon etc.) Do REST API's, Docker and Microservices hold no secrets for you? Do you understand key drivers of rules/model variation and are you able to communicate your findings and insights to team members as well as executives? Are you able to respond to incidents quickly and ensure that the applications are operational 24/7? Perhaps you are more qualified for this project than you think!

The Ideal Applicant

  • Has hands-on experience (2 years minimum) integrating and deployment to data warehouses and cloud-based solutions (i.e. AWS, Azure)
  • Has good knowledge of programming/scripting languages (i.e Scala, Python)
  • Experience with Spark and Apache Hadoop (HDFS, HDInsight)
  • NoSQL knowledge
  • You have knowledge DevOps work processes
  • Experience of/with REST API's / Swagger / Docker / Microservices
  • You are pro-active, practical, organised, and solution orientated
  • Are a real team-player
  • Experience with NIFI is nice to have

The job

  • Design, construct, install, test and maintain highly scalable data management systems
  • Draw on reference architectures and implementation models for data-intensive applications
  • Work with tightly coupled and complex data
  • Provide direction to various business units and partner up with them to challenge their thinking
  • Provide direction to various business units and partner up with them to challenge their thinking

The company

The company is a multinational logistics corporation in Rotterdam the Netherlands. They're looking to become more data driven and as such, are looking for a Data Engineer to plan and execute a complex rollout.

Perks and benefits

  • Dynamic and fun environment
  • Salary in line with market
  • Able to share practices with managers and analysts

Does this sound like your next project? or call me at +31 20 30 500 70

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