About this role

Expert Data Engineer GFT Poland Daily tasks: - 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 Musts: Data engineering, SQL, Python, Spark, PySpark, Data modelling, Data warehouse, Data Lake, GCP, dbt, Airflow, Trino, CI/CD, Data pipelines 7+ years of commercial experience as a Data Engineer Strong SQL, Python and Spark/PySpark skills Experience with data modelling Understanding of data warehousing, data lakes and data lakehouse architectures Hands-on experience with cloud data engineering tools, preferably in GCP 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 BI tools such as Power BI, Qlik or Apache Superset Experience with Snowflake Experience with Databricks 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

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