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GFT Poland

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Expert Data Engineer

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Summary

Senior data engineer (7+ years) designing and building cloud and on-premise data platforms, ETL/ELT pipelines, and data products for business stakeholders in agile teams. Core stack is GCP: BigQuery, DBT, Airflow and Trino, with strong SQL and Python.

O projekcie:

What will you do?

As an Expert Data Engineer, you will help design and build modern data platforms and products across cloud and on-premise environments. You will work closely with business and technical stakeholders to create scalable data solutions, optimize data processing pipelines, and support data-driven decision making within agile delivery teams.

We offer

  • Hybrid work in one of our locations: Lodz, Poznan, Krakow, Warsaw, Wroclaw (2 office days per week)
  • Working in a highly experienced and dedicated team
  • Benefit package tailored to your needs (medical, sport, lunch subsidy, life insurance, etc.)
  • Online training and certifications
  • Access to e-learning platform
  • Work From Anywhere (up to 140 days/year abroad)
  • Social events

Wymagania:

  • 7+ years of commercial experience as a Data Engineer
  • Strong SQL, Python
  • Experience with data modelling
  • Understanding of data warehousing, data lakes and data lakehouse architectures
  • Hands‑on experience with GCP data engineering tools
  • Very good knowledge of BigQuery
  • Experience with DBT, Airflow and Trino
  • Understanding of CI/CD principles and practices
  • Experience designing and building scalable data pipelines

Nice to have

  • Experience with Spark/PySpark
  • Experience with BI tools such as Power BI, Qlik or Apache Superset
  • Experience with Snowflake
  • Experience with Databricks

Codzienne zadania:

  • Design, build, test and deploy cloud and on-premise data models and transformations
  • Develop and maintain ETL and ELT pipelines
  • Onboard new data sources and build data ingestion frameworks
  • Design, build, test and deploy cloud data warehouses and data products
  • Optimize data views and schemas for reporting and visualization use cases
  • Review, interpret and implement business and technical requirements
  • Collaborate on backlog refinement, user stories and epics in Jira
  • Ensure data platform performance, scalability and reliability

Skills

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See also

Data Engineering jobs by country — openings, pay and top skills →

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