Logo of Nosto

Data Engineer

Helsinki, Finland
Photo of Daniella Uglianskaia
Daniella Uglianskaia
Must have skills:
Nice to have skills:
Considering candidates from:
Schengen, CIS, and Finland
Work arrangement:
Onsite only
Marketing technology
Middle or senior
Visa sponsorship:
Not provided
Company size:
51-200 employees
Trial period:
6 months
Logo of Nosto

Data Engineer

Helsinki, Finland
Nosto created an AI-powered Segmentation and Content Personalization E-commerce Intelligence Engine. The service already responds to over 100M requests daily and is being built for a lot larger scale. The work involves lots of green-field development and solving interesting problems. They are trusted by leading retail brands in over 100 countries worldwide, including brands like Volcom and FlightClub.
Right now, Nosto is looking for a Data Engineer who will build out the infrastructure for serving billions of recommendations, generating insights used by thousands of retailers and some of the best brands over the globe. You'll be a key contributor to the big-data processing pipelines built on Spark with Scala / Java that are hosted in AWS. They use Redshift, Kinesis, S3, Redis, Cassandra, Elasticsearch, Mongo and more for the backend services that make thousands of complex, real-time decisions per second possible.

Must-have skills:

  • Hands-on experience with Scala and Java
  • Experience Spark, EMR, Elasticsearch, Cassandra, Redis (if you don't have experience with some, but open to learning, can be considered as well)
  • Deep understanding of how to process terabytes of data through highly performant pipelines.

Nice-to-have skills:

  • Contribution to open-source projects is a plus
Check out the answers to frequent questions about this position below. Can't find the answer you're looking for? Ask us via email or try the company page.

Is it possible to work remotely?

This position is onsite only. Nosto is looking for candidates for Helsinki office.

What are the stages of interview process?

  1. Toughbyte presents a candidate viaTalentAdore and Slack
  2. Intro call 
  3. Tech assignment which takes a few hours 
  4. Team interview, which is done by other data engineers + life exercise (2,5 hours)
  5. Interview with Jani and Antti culture+tech
  6. Before making an official offer, make a tentative offer with salary amount through Toughbyte

Apply now

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