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Big Data Engineer

  • Location

    Bayern, Germany

  • Sector:

    BI, Big Data & Analytics

  • Job type:


  • Salary:

    €80 - €90 per hour

  • Contact:

    Jordan Helps

  • Contact email:

  • Salary high:


  • Salary low:


  • Job ref:

    BDE - Munich_1526557754

  • Published:

    about 1 year ago

  • Duration:

    6 Months

  • Expiry date:


  • Startdate:


Big Data Engineer- Apache Spark, Scala, Kafka, ElasticSearch

Munich - Up to €90 per hour based on relevant skills/experience

Contract - 6 months

Start Date -ASAP

We are partnered with an industry-leading consultancy based in Munich who are seeking an experienced Big Data Engineer to contribute to one their key customer's data-driven business strategy.

The end-customer are at the forefront of Media/Television industry and are looking to hire an accomplished Big Data Engineer to join their agile team of multi-skilled IT professionals.

The successful Big Data Engineer will have at least 2 years relevant experience working with large data sets using Scala, Apache Spark, Kafka and ElasticSearch.

The client offers an open, flexible working environment and are happy to accommodate individual working requirements (majority of work is office based but remote opportunities are available).

This is a fantastic opportunity for an enthusiastic Big Data Engineer looking for a company utilising cutting edge technologies, whilst working within a highly Agile environment.

Big Data Engineer - Key Skills & Experience:

  • Apache Spark
  • Kafka
  • Scala
  • ElasticSearch
  • Spring, Hibernate

If you consider yourself to be a strong Big Data Engineer and are looking for your next opportunity with a market-leading Media/Television platform based in Munich, then please apply for this role and I will be in touch with further details.

Company Description

The business is an industry-leading Television/Media platform that has been at the forefront of the sector for decades - They offer a superb working atmosphere, flexible working hours and possibility of remote working opportunities.