Senior Cloud Data Engineer | BigQuery & Data Platforms

GFT Poland; Kraków, Łódź; On-site; PLN 200,000 - 320,000; Full time

Benefits offered by this job

Competitive salary

Training and development

Job summary

GFT Poland is building and evolving modern cloud-based data platforms and analytical solutions. You will design and develop scalable data pipelines, data models, and transformation processes, enabling efficient data consumption across business and technology teams while supporting data-driven decision-making.

Join a team focused on data engineering with hands-on work on BigQuery, DBT, Airflow and Trino on GCP.

Qualifications

• 5+ years of commercial experience as a Data Engineer.
• Strong SQL and Python.
• Experience with data modelling.
• Knowledge of data warehousing, data lakes and data lakehouse concepts.
• Hands-on with GCP data engineering tools.
• Very good knowledge of BigQuery.
• Experience with DBT, Airflow and Trino.
• Understanding of CI/CD practices and automation.
• Experience designing and implementing scalable data pipelines.

Responsibilities

• Design, build, test and deploy cloud and on-premise data models and transformations.
• Develop and maintain ETL processes and data pipelines.
• Optimize data views and storage structures for analytics and visualization use cases.
• Review, refine and implement business and technical requirements.
• Collaborate on backlog management, user story refinement and sprint planning activities.
• Onboard new data sources and develop data ingestion frameworks.
• Design, build, test and deploy cloud data warehouses and data products.
• Ensure data quality, performance, reliability and scalability across solutions.

Skills

SQL

Python

Data modelling

ETL pipelines

Data warehousing

Data lakes

Data lakehouse

CI/CD

Tools

BigQuery

DBT

Airflow

Trino

GCP tools

Spark/PySpark

Job description

GFT Poland is building and evolving modern cloud-based data platforms and analytical solutions. You will design and develop scalable data pipelines, data models, and transformation processes, enabling efficient data consumption across business and technology teams while supporting data-driven decision-making.

Join a team focused on data engineering with hands-on work on BigQuery, DBT, Airflow and Trino on GCP.