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Engineers who find a new job through Functional Works average a 15% increase in salary 🚀

Schibsted Media Group

Senior Data Engineer

London, United Kingdom

06 March, 2019

Salary

£60K - 80K

Contract type

Full time

Technologies & frameworks

  • Scala
  • Python
  • Java
  • Spark
  • Data Engineering
  • Machine Learning
  • Cloud Technology

Benefits & perks

  • Flexible working
  • Bonus

To sum it up...

Build global solutions, products and infrastructure whilst utilizing machine learning services

Role overview

We are an established and highly respected tech company, that is looking for like-minded and intellectual Data Engineers to help develop robust solutions and infrastructure to built real time predictions. 📈

You'll work in collaboration with data science teams 👨‍👨‍👧‍👧 👩‍👩‍👦 and product owners and use a range of machine learning services on offer. Scala,Python, Java are the languages we use, and we help train people up in these as well. Experience with ☁️ cloud ☁️technologies is a huge benefit especially AWS.

We’re looking for intelligent and intellectually inquisitive people to come on board in London to help build our Audience Targeting Engine (ATE). ATE classifies our users into different segments of the population, so we can deliver relevant ads. It combines page view events and predictive models for classification. By creating segments in ATE and using them at campaign booking, our Ad Sales organisations can sell advertising campaigns that target users of a particular demographic (e.g. gender👦👩) or location, amongst others. We are a cross-functional team, with Engineers, Data Scientists, Product managers/owners and UX designers working side-by-side on a daily basis, with a strong culture of openness and collaboration.

Schibsted’s wide portfolio of sites and services means that we have a rich source of proprietary data and application areas to try out many different approaches in a creative, innovative and ambitious environment.

You would join our cross-functional team and collaborate with other engineers, Data Scientists, product owners and UX designers on a daily basis. You’d utilise Machine Learning and Engineering skills to architect and develop global scale solutions. You’d be responsible for building efficient and robust solutions, capable of inferring from billions of events to produce real-time predictions. These systems impact millions of users across the globe, personalising both content and advertising to improve the user experience.

Responsibilities

Architect and implement distributed, fault tolerant data processing systems capable of processing billions of events per day.

Work closely with data scientists to define and develop infrastructure and distributed machine learning services.

Write high quality, maintainable code and drive improvements in our development environment.

Keep on top of the emerging best practices and champion these within the organisation.

Collaborate closely with many other teams within Schibsted across our numerous offices.

Requirements

You are fluent in Scala/Java/Python

You have a rock solid understanding of Computer Science fundamentals (algorithms, and data structures)

You have experience in processing lots of data with Spark/MapReduce

You have experience with a large-scale key-value store

You are passionate about machine learning

You have lots of experience with AWS or similar cloud service

You can work effectively in a distributed organisation

Location

London is the capital of the United Kingdom, situated in the South East of the island. The world's largest financial centre, London is also often referred to the culture capital of the world. The city is well-known for its heritage, including Buckingham Palace, the Tower of London, Kew Gardens, Westminster Abbey, and the historic settlement of Greenwich. London Underground is the oldest urban railway network in the world.

Technology workers in London earn 60pc more than the city average, with the figure even higher for foreign born workers, who earned 28pc more than their British counterparts in tech jobs. London can be considered as a center for professional relocation. Furthermore, there are over 100 of Europe's 500 largest companies' headquarters in London.

The city is famous for unpredictable weather. For instance, it could be cold, warm and rainy in one day and it’s often the topic of conversation across the city.

Did you know...

  • 2.5M people, one third of Londoners, are foreign born
  • 40% of Greater London is green space

Schibsted Media Group

    Schibsted Marketplaces empower the world’s economy and promote sustainability by enabling anyone to sell and everyone to buy, connecting people to new opportunities and great deals every day. Our goal is to provide fantastic value to all of our 30 million daily users across 22 countries, with effective and safe online classified ads. Schibsted Marketplaces is one of the two business divisions of Schibsted, an international organization with more than 7,000 employees in 19 countries. For nearly 200 years, Schibsted has been a trusted name in media, with leading daily newspapers in Sweden and Norway and a trusted family of digital consumer brands. Our 3000+ employees in Schibsted Marketplaces focus daily on solving real problems for our users. With leading generalist marketplaces across Europe, exciting growth companies in Latin America and Eastern Europe, and technology hubs in Barcelona, London, Oslo and Stockholm (to name a few), our teams balance local insight with global scale to develop innovative products and features on the leading edge of digital. Schibsted Marketplaces is one of the two business divisions of Schibsted, an international organization with more than 7,000 employees in 19 countries. For nearly 200 years, Schibsted has been a trusted name in media, with leading daily newspapers in Sweden and Norway and a trusted family of digital consumer brands.

    • Bonus
    • Flexible Working
    View 4 jobs
    Engineers who find a new job through Functional Works average a 15% increase in salary.

    Salary

    £60K - 80K

    Contract type

    Full time

    Technologies & frameworks

    • Scala
    • Python
    • Java
    • Spark
    • Data Engineering
    • Machine Learning
    • Cloud Technology

    Benefits & perks

    • Flexible working
    • Bonus

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