Role overview

Data Engineer

Requirements and responsibilities

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What we offer

  • Work in a Scandinavian culture built on logic, trust, and open dialogue.
  • Health and sports benefits tailored to your needs.
  • Speed Coaching – short sessions designed to provide new perspectives and solutions.
  • Sports training, an internal team, and opportunities to take part in competitions.

Areas of the role:

  • Building and maintaining a data platform for the public transport industry — designing scalable ELT pipelines in BigQuery using dbt, handling real-time data (GTFS-RT), and ensuring data quality and consistency across multiple transit agencies
  • Cloud data engineering — managing infrastructure on Google Cloud Platform (Cloud Run, BigQuery), implementing infrastructure as code (Terraform), and configuring multi-region environments
  • Analytics and data visualisation — building and developing QlikSense dashboards for end customers, processing and validating geospatial transit data, collaborating with the product team and non-technical stakeholders

Must have:

  • Experience with dbt and layered ELT modelling, as well as BigQuery and Google Cloud Platform (Cloud Run, performance tuning)
  • Strong Python skills — async services, data processing, API integrations
  • Familiarity with GTFS static and GTFS Real-time data formats
  • Experience with Qlik Sense or similar BI tools, and infrastructure as code (Terraform)
  • Experience with Git / GitHub in collaborative team environments
  • English - fluent
  • Ability to perform work in Poland (citizenship, residence card, visa, etc.)

Nice to have:

  • Knowledge of incremental load patterns in dbt or similar data pipeline frameworks
  • Geospatial analytics using BigQuery GIS functions
  • Background in transit, mobility, or IoT-related data domains
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Browse stack
FocusData EngineeringRole area
Seniority signalSeniorCandidate level
StackPythonPrimary skills
Location2 accepted countriesEligibility

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