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Data Engineer

At Sellpy, our vision is to empower everyone to live circular. We believe there is tremendous financial, social and environmental value in making sure unused items are put back into use. Backed by H&M among others we are proud to be one of the fastest growing startups in Sweden and the leading service for second hand goods in Sweden. With an infinite amount of used goods just waiting to be sold all over the world, our journey has just begun!

Leveraging data is key in our mission to efficiently enable reuse of goods, so we are expanding our one man army Data/Analytics team with a Data Engineer. In the role you will collaborate closely with our head of Data/Analytics and teams in our operations, marketing and engineering departments in order to enable better utilization of our data.

You will be a cornerstone in the Data/Analytics function, making sure we utilize our data to its full extent and ensuring we have key pieces of technology in place for future growth. As such you will be part of further developing our data warehouse and data loading pipelines as well as an integral part in rolling out new machine learning efforts in order to improve efficiency across Sellpy.

With short lead times from design and development to use in production, we value a self-starting hands-on approach to challenges ahead and a willingness to learn and explore novel approaches. 

What you'll be doing:

  • Owning and ensuring performance of our data warehouse and data pipelines
  • Support data analysts across our organisation making sure they have the tools available to extract, crunch and make sense of our data in order to help sales, operations and product teams realize their full potential.
  • Training, deploying and maintaining Machine Learning efforts aimed at improving sales, productivity and quality across Sellpy.

Our candidate probably has:

  • A strong analytical mindset and a hands on approach to challenges ahead
  • Experience working with Python or similar languages
  • Experience working with and maintaining a SQL database (we’re using Postgres)
  • Experience working with Unix and Docker
  • Experience in Machine Learning (e.g. Keras/Tensorflow, Scikit-learn)

Nice to have:

  • Experience working with Javascript and React.
  • Experience working with AWS, GCP or Azure (we’re using AWS)

Eller vet du någon som skulle passa ännu bättre? Berätta för dem.



Frihamnsgatan 56, Entré 2
115 56 Stockholm Vägbeskrivning kundtjanst@sellpy.se +46 8 446 830 92

Hur är det att jobba hos oss?

På Sellpy finns det inget som heter “så har vi alltid gjort”. Det som fungerar mindre bra försöker vi tillsammans att förbättra, och det som gör oss glada och effektiva vill vi ha mer av.

För att nå våra höga mål peppar vi varandra och hugger i då det behövs. Vi anammar utveckling och förändring, och är övertygade om att trivsel på jobbet går hand i hand med  väl utförda arbetsuppgifter. Vi tror på våra medarbetare och räknar med att du vill göra skillnad - oavsett roll och ålder.

Jobbar du redan på Sellpy?

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