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Data Engineer / Scientist en London

Nested

Lugar de trabajo
En sede
Horas
Full-Time
Prácticas
false
Habilidades
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Descripción de la oferta

Data is at the heart of everything Nested does - from our customer facing automatic valuation model to the tools our team uses internally.

We’re looking for someone to help us develop the foundations we already have into world-class data infrastructure capable of supporting production quality product features. We’re also looking for someone who can play a central role in our research and development programme to improve our data models on an ongoing basis.

We believe in fewer, better people and you will join our small, extremely talented London based team, backed by Europe's leading investors. We have experience of founding successful start-ups like GoCardless and Songkick and backgrounds from McKinsey and the Universities of Oxford and Cambridge.

Requirements

The role

The role is split between data science and engineering, with an emphasis on engineering. You will be responsible for:

  • Designing and implementing data infrastructure suitable for supporting production features.
  • Overseeing the operation of data processing systems in production.
  • Contributing significantly to data model research and development.
  • Working closely with the product and product engineering teams on a day-to-day basis.
  • Working closely with the analysts in our operations team, with an emphasis on building infrastructure and tools to support their work.

The ideal candidate

We think you’ll probably:

  • Have a background in software engineering, for example, by having worked as part of a product oriented engineering team in the past.
  • Have hands-on experience building and maintaining data infrastructure. This doesn’t necessarily mean at ‘big data’ scale, or using cutting edge machine learning algorithms, but you should be thoroughly familiar with Linux, ETL pipelines and SQL databases.
  • Take a scientific, evidence oriented approach to product development.

Things which would be useful, but not essential:

  • Experience in scientific research, either academically or in a previous commercial role.
  • Experience working in an early stage start-up.

Benefits

We believe that treating people well is the key to our future success. Expected compensation would be competitive based on your experience and also include a generous option grant. We offer flexible working hours, generous vacation policy and provide a budget for making sure you’ve got your perfect work set-up.


 

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