Data Engineer to growing SaaS company

Flowbox Stockholm



Are you ready to help a startup through their scale-up phase? Do you have experience of building a big-data infrastructure from an early stage and make it work like a well-oiled machine? Then this role could be for you!

Flowbox is a SaaS company that has developed an innovative digital solution which brings together big brands with their customers and promoters through user-generated content. Flowbox’s innovative B2B SaaS solution is well positioned to continue to grow even in times of world-crisis. The crowd-sourced user-generated content is providing end consumers with real life images helping to convert e-commerce buyers. The company has grown fast and now sees great improvements in their solution using the large amount of collected data and modern technologies to create a more relevant consumer experience leading to improved conversion. 

”Scale-up phase”

About the role

Flowbox is now looking for a Data Engineer who wants to work in an innovative and explorative environment. You will be part of a Data Science team that works with authentic data from user-generated content from multiple sources. Flowbox is now in a phase where they are scaling up their work with Machine Learning and Image Processing to continually improve and innovate their product. In this role, you will therefore get the opportunity to be part of a really interesting journey and together with your team members build the best platform on the market for user-generated content.

As a Data Engineer at Flowbox, you will make sure that the organization has a scalable and high-performance data infrastructure that aligns with business needs. You will design and build Data Pipelines and manage and analyze large datasets and put complex systems into production. 


  • 3 years of experience from the Data Engineering field and solid knowledge within data workflow, pipelines and ETL processes 
  • Experience of time series databases and cloud data warehouse solutions
  • Data modeling from scratch
  • Data processing frameworks (like Spark or Beam)
  • Schedule/job dependency frameworks (Luigi, Airflow, Celery or similar)
  • Familiar with SQL

Nice to have

  • Python
  • AWS infrastructure or similar cloud infrastructure
  • Experience of building pipelines for Machine Learning

About Flowbox

Flowbox is a SaaS company offering a visual marketing platform to help brands leverage and distribute social content throughout the buyer journey to increase engagement, social proof and sales. Flowbox heart lies in how technology can help brands generate and use owned, paid, earned and user-generated content for a more effective, converting and transparent marketing and e-commerce. Through our platform, our customers are able to collect, moderate and publish content to their digital and social channels. In our customer portfolio we have some of Europe’s largest brands in tourism, lifestyle, fashion, retail and interior design. Flowbox was founded in 2016 by marketers for marketers and is one of Europe’s fastest growing marketing technology companies. Flowbox’s technology and expertise help brands source, distribute and scale content for increased revenue and an improved customer experience.

In this role, you will be part of a young and award-winning company located in the middle of Östermalm in Central Stockholm, with offices as well in Belgium, the Netherlands and Switzerland. You’ll work in fresh, spacious and creative premises and be part of a team developing Flowbox solutions during an expansive period.

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