Data Engineer

Do you want to build something awesome? Are you thrilled by the potential impact your code could have? At growth hackers, you’ll get challenged to continuously advance the state of art!
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The position 

The Data engineer role is about helping out client’s with architecting and leveraging their customer, ad tech and web data to the max. Filling data lakes and building data warehouses. Growth Hackers are providing services and building our own software to provide functions in the modern open data stack based on Google's BigQuery / Amazon Redshift / Snowflake. You will be part of a client facing team while also helping to build our internal set of tools or apps to solve various client data related challenges for the modern digitized business. 

You will work closely with our CTO, data engineers and data scientists in a fast growing area of our business. We embrace the new normal “work from anywhere” mentality and there is big room for variation between meeting clients IRL, working with our awesome colleagues in our great Stockholm (Gamla Stan) office or any other place where you can be productive. 

Main tasks: 

  • Leading the efforts to evolve the architecture of customers ad tech stacks
  • Implementing Growth Hackers best practices and software into customers ad stacks
  • Understanding and optimizing the whole architecture of the user experience for each of the digital interactions the user has with our customer
  • Developing features that fit into the customer interaction architecture and analyze the success of each interaction
  • Leading technical discussions and requirements analysis with partners and clients to drive alignment with clients needs
  • Advising Growth Hackers management team on emerging technologies and industry trends


  • Deep knowledge of BigQuery
  • Having built ETL pipelines using python or golang
  • Have experience building data warehouses and data products using:
    • dbt (
    • git
    • airflow
    • Google Data Studio
    • Looker
  • Having applied machine learning models using python or R
  • Deep knowledge of various ad tech datasets, Google Analytics bigquery export, snowplow, app tracking data, CRM data etc.
  • Having trained and developed DNNs using tensorflow

About the employment and recruitment process

The employment is full time starting as soon we find a great match. The first step in the process is to do a logical test, personality test and a work sample. After that, our top candidates will be invited to an interview, which is the last step of the process. 


We offer competitive wages, 31 days vacation, care benefits, ITP1 pension, collective bonus programs, fun trips!

We usually respond within three days

Or, know someone who would be a perfect fit? Let them know!

Perks and Benefits

  • Vacation & Birthdays 🕶

    We offer 6 weeks of vacation and your birthday off, so you can celebrate it properly!

  • Pension and insurances!🍹

    We provide our employees with private pension and insurances according to ITP 1.

  • Care Benefits! 🧠

    We want our employees to stay healthy and to take care of their mind and their body. We give all our people SEK 5000 to spend on well being!

  • Gadgets! 💻

    Computer, phone & mobile subscription. Most of our team mates use apple products, but that's up to you!

  • The bonus program! 🏆

    We have our half year Objectives and Key Results, which is a goal setting system.
    If the percentage of done is up over 70% we, as a team, get a bonus. If could be money, extra vacation, an exciting get away or something our team mates dream about!

  • Breakfast & snacks! 🥑

    Thursdays we get together and eat breakfast during "breakfast & learn"-session and if you get hungry or thirsty the rest of the week we have got you covered. You get some fika-cash every month to spend in our Convini store!

  • We 💙 dogs!

    At the moment we have one office dog (mood-manager). His name is Charlie and he is willing to share that position with a fluffy friend!

Already working at Growth Hackers?

Let’s recruit together and find your next colleague.


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