Senior Data Engineer (Łódź, PL, 90-118)

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

Type of contract: Employment contract

Salary range: 14600 - 22300 PLN gross

What will you do?

Join a team focused on 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.

Your tasks

• 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

Your skills

• 5+ years of commercial experience as a Data Engineer
• Strong SQL, Python
• Experience with data modelling
• Knowledge of data warehousing, data lakes and data lakehouse concepts
• Hands-on experience 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

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

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