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Big Data Engineer

  • Kraków, małopolskie
  • Specjalista
  • 14.06.2019

    Pracodawca ma prawo zakończyć rekrutację we wcześniejszym terminie.

    Big Data Engineer






    In Schibsted Tech Polska (STP) we have freedom to do great work and the challenge of using our skills and ambitions to drive the future of the web. We have an inspiring culture which provides room for growth and innovation. We work for Scandinavian market which is very unique and special also ensuring us to have stable jobs in a very supportive environment.


    For more information go to www.schibsted.pl

    Schibsted Tech Poland is a core R&D center for Schibsted media houses around the world. With two locations in Poland (Gdańsk and Kraków) we are almost 200 developers. If you have an unparalleled passion for web technologies, and a reputation of master developer, there is no-one else we would rather hear from but YOU!

    We are looking for Data Engineer to work with mission critical systems accounting for around 150 million Euros in advertising revenue.


    Advertising Solutions is a relatively new area in Media organisation which houses engineering teams for our back-office systems used by various sales organisations at Schibsted. These systems include Rose which is used to book advertising campaigns and Vantage which provides campaign reporting



    We are now looking to establish a team to own and operate the Advertising API that underpins these products, along with others within Schibsted. You will be off to a running start and will have to learn the ropes of existing systems with the help of our established teams, plan and execute on the hand-over from the current team in London. Expect initial travels to London and/or hosting the London team members locally.


    Once you learn the system you and your teammates will continuously work on its technical evolution, scaling and simplification. You will be expected to be an active participant when deciding how to implement new features together with the neighbouring teams that depend on you for their work.


    • We handle more than 250000 campaigns, 100000 advertisers, and more than 140 publishers across 20 different countries. About 1.5 TB of data is processed every day using more than 100 Spark jobs.
    • Our data pipeline is built on top of AWS EMR, Spark, Yarn, Airflow and microservices based on Twitter Finatra framework. Apache Avro and Parquet are used for data serialization and schema definition/evolution.
    • We don’t expect you to have experience with all the technologies that we use but it would be good if you know at least some of them or have worked with similar ones.
    • You should be deeply interested in data processing and data storage in general. You need to be well-versed in the area of databases – mainly SQL, optimization of them, schematic design and indexes.
    • You should have an understanding of such big data concepts as map reduce, CAP theorem and big table.
    • You should be deeply interested in data processing and data storage in general. You need to be well-versed in the area of databases – mainly SQL, optimization of them, schema design and indexes. Perhaps you enjoy writing Spark jobs as well.
    • You should have an understanding of such Big Data concepts as map reduce, CAP theorem and big table.
    • This role does not require cooperation with data science, at least at this point. And our scale is substantial but rather not huge.


    • Social benefits (multisport card, life insurance, medical health care and other)
    • Mobile phone on a subsidised monthly contract
    • In-house English lessons
    • Flexible working hours
    • Option to work remotely from time to time
    • Ergonomic workstations
    • Trips to Sweden
    • Conferences and seminars run as part of individual training budgets
    • Yearly bonus depending on performance
    • Option of Employee Share Saving Plan
    • Relocation package
    • 4 additional vacation days 
    • 2 additional weeks of paternal leave

    Life is too short for wrong jobs! Apply to STP!

    Schibsted will collect, process and store personal data (name, professional experience and contact details) about you. This data is confidential, and only used within Schibsted and for recruitment purposes only. This is necessary to be able to present opportunities for you within Schibsted. If you would like to be forgotten please contact [email protected]. For more information please read Schibsted privacy policy - https://www.schibsted.pl/privacy-policy/ 

    We wish to thank all applicants for their interest and effort in applying for this position, however, only candidates selected for interviews will be contacted.

    No unsolicited agency referrals please.