Senior Data Engineer
At a glance
Senior Data Engineering role at GFT Technologies. Łódź.
Pay not stated Data Engineer salary
dataroles summary, based on the employer's posting.
What you'll do
- Build and test data models and transformations for cloud and on-premise environments, then deploy them
- Keep ETL workflows and data pipelines running, and create ingestion frameworks for incoming sources
- Shape analytical views and storage so data works well for reporting and visualization
- Turn business and technical needs into delivery plans through backlog work, story refinement and sprint planning
- Protect data quality, speed, reliability and scale across warehouses and data products
What you bring
- At least five years of commercial data engineering experience
- Strong SQL and Python skills, with practical data modeling experience
- Hands-on use of GCP data engineering tools and strong BigQuery knowledge
- Experience with dbt, Airflow and Trino, plus familiarity with CI/CD and automation
Who this fits
This senior role suits an experienced data engineer who has built scalable pipelines and worked with cloud data platforms. The hybrid arrangement requires two office days each week at one of the listed locations: Łódź, Poznań, Kraków, Warsaw or Wrocław. The role also offers the option to work abroad for up to 140 days per year.
From the employer
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
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