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Senior Data Engineer

  • Location

    Amsterdam, North Holland

  • Sector:

    BI, Big Data & Analytics

  • Job type:

    Contract

  • Salary:

    Very Negotiable

  • Contact:

    Harry Glover

  • Contact email:

    HarryG@montash.com

  • Salary high:

    0

  • Salary low:

    0

  • Job ref:

    DatenAm#18ud_1519235538

  • Published:

    5 months ago

  • Duration:

    12 Months

  • Expiry date:

    2018-02-28

  • Startdate:

    ASAP

  • Consultant:

    #

Senior Data Engineer - Freelance/Contract - Amsterdam

Montash are engaged with innovative client situated on the outskirts of Amsterdam, to secure a Senior Data Engineer to join an already established Data Science team.

The Role: Senior Data Engineer

My client are​ ​transitioning​ ​from​ ​point​-to​-point​ ​data​ ​integrations​ ​and​ ​a​ ​classic​ ​data warehouse​ ​solution​ ​to​ ​a​ ​uniform​ ​data​-lake,​ ​allowing​ ​all​ ​downstream​ ​ETL processes​ ​to​ ​focus​ ​only​ ​on​ ​their​ ​domain​ ​specific​ ​transformations.

Skills and experience required for this Senior Data Engineer position:

  • Extensive Python experience
  • Big Data: Apache Spark/Hadoop
  • ​Hands​ ​on​ ​experience​ ​with​ ​AWS​ ​services​: (​API​ ​Gateway, lambda​ ​functions,​ ​EMR,​ ​Redshift,​ ​ElasticSearch​ ​& ​DynamoDB
  • NoSQL - MongoDB / Redis
  • Containerization: Docker

If you feel you have the above Data Engineering expertise and experience, please apply with your most recent CV.

With Brexit looming and tax benefits increasing for non-Dutch nationals, our Netherlands based Clients are finding an increase in applications from UK IT resources looking to further their international experience. Amsterdam is one of the hottest cities for IT development and more global organisations are opening development centres and/or nearshoring resources to this dominant location. Montash offer not just top tier requirements for IT resources but can also offer guidance through our partners on relocating and tax systems if you're considering a move but maybe unsure on the implications this has.

Key Words: Data Engineer / Data Science / Python / AWS / Spark / Hadoop / Docker / ETL / SQL / MongoDB