Data Engineer


We are looking for a talented Data Engineer to help with the development of data ingestion and processing pipelines in a complex search system. You will work alongside Software Engineers, Data Scientists and Data Analysts to create a data-driven search engine. You will be taking part in developing a new system as well as integrating with existing microservices and data sources.

You will be responsible for:

  • working with a multitude of data sources that we plan to use: user-generated content, ratings, analytics and log data,
  • analysing new potential data sources and acquiring data,
  • taking part in designing, developing and maintaining ETL processes,
  • moving data pipelines into production.

The successful applicant will have:

  • Python,
  • SQL,
  • Google BigQuery,
  • AWS,
  • Redshift/Glue/S3/Lambda/Athena.

We also welcome:

  • Snowflake, Fivetran,
  • GCP or Microsoft Azure,
  • machine learning.

We offer:

  • a chance to work on both commercial and research-oriented machine learning projects,
  • an opportunity to master deep learning and classical machine learning under the guidance of experts,
  • an opportunity to participate in Tech Talks (internal training and seminar sessions),
  • flexible working hours,
  • an attractive benefits package (subsidized medical care, sports, frequent team-building events, fun room). helps companies discover the potential of their data and use it to build competitive advantage in the most effective way.

Our support covers all stages of the AI journey, from a feasibility study through to end‐to‐end AI solution development, deployment and maintenance. We follow methodology developed on the basis of research and commercial projects delivered for clients such as NTT, Nielsen, L’Oreal, Google and Intel.

Some of our benefits

Medical package
Multisport cards
Flexible working hours
Lunch provided
Onsite english lessons
Kitchens stocked with fruit and veggies twice a week
Theatre discount
Monthly integration budget
Company library
deepschool - internal training sessions
Holiday celebration