Senior Data Engineer — Cloud Data Pipelines & Warehouses

GFT Technologies SE; Łódź; Hybrid; PLN 163,000 - 249,000; Full time

Benefits offered by this job

Hybrid work across multiple Polish off

Training and certifications

Benefits package including medical, L4

Job summary

GFT Technologies SE in Poland is seeking an experienced Data Engineer to design and build scalable cloud data platforms and analytical solutions. You will create data models and transformations, enable efficient data consumption across business and tech teams, and support data-driven decision making.

The role requires 5+ years in data engineering, strong SQL and Python, experience with data warehousing concepts, GCP tools and BigQuery, and familiarity with DBT, Airflow and Trino.

Qualifications

• 5+ years of commercial experience as a Data Engineer.
• Strong SQL and Python skills.
• Experience with data modelling and warehousing concepts.
• Hands-on with GCP data engineering tools; BigQuery knowledge.

Responsibilities

• Design, build, test and deploy cloud and on-prem data models and transformations.
• Develop and maintain ETL processes and data pipelines.
• Optimize data views and storage structures for analytics and visualization.
• Review, refine and implement business and technical requirements.
• Collaborate on backlog management, user story refinement and sprint planning.
• 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.

Skills

SQL

Python

Data modelling

BigQuery

GCP tools

DBT

Airflow

Trino

CI/CD

Data pipelines

Tools

DBT

Airflow

Trino

Snowflake

Databricks

Job description

GFT Technologies SE in Poland is seeking an experienced Data Engineer to design and build scalable cloud data platforms and analytical solutions. You will create data models and transformations, enable efficient data consumption across business and tech teams, and support data-driven decision making.

The role requires 5+ years in data engineering, strong SQL and Python, experience with data warehousing concepts, GCP tools and BigQuery, and familiarity with DBT, Airflow and Trino.