Senior Data Engineer

GFT Poland; Kraków, Łódź; Hybrid; PLN 180,000 - 240,000; Full time

Benefits offered by this job

Hybrid work locations

Medical, sport, lunch subsidy

Life insurance

Online training and certifications

E-learning platform

Work From Anywhere (up to 140 days/yr)

Social events

Job summary

GFT Poland is seeking an experienced Data Engineer to design and evolve cloud-based data platforms and analytics solutions in Kraków. You will build scalable data pipelines, models and transformations to enable data-driven decision-making across business and tech teams.

The role offers hybrid work across multiple Poland locations, a collaborative team, and a benefits package including training and e-learning resources.

Qualifications

• 5+ years of commercial experience as a Data Engineer.
• Strong SQL and Python skills.
• 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.

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

Data warehousing

Data lakes

Data lakehouse

GCP data engineering tools

BigQuery

DBT

Airflow

Trino

CI/CD

Scalable data pipelines

Tools

BigQuery

GCP data tools

DBT

Airflow

Trino

Job description

O projekcie:

We are GFT Poland. WE KNOW how to tackle complex issues with innovative approach to deliver the highest value. Our reputation has been built around one simple rule: we do not overpromise, WE DELIVER. We deliver to our employees, clients and partners. WE GROW as you grow, so investing in you is our business strategy. Caring for each other is our priority. WE CARE who you are, what you need, how you feel. WE CARE to smile, have fun and develop as human beings.

Why Choose GFT?

• A culture of top performance
• Deep tech IT engineering & consulting
• 1200 skilled & top-class experts
• 77% of the team are regular/senior
• Products that contribute to a sustainable world
• Competitive salary and benefits
• Ambitious projects, trainings and tools you need to flourish
• Google Cloud Partner of the Year - for going above and beyond for customers

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.

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:

• 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

Codzienne zadania:

• 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