Senior Data Engineer
Summary
Designs and builds cloud-based data pipelines and analytical solutions using GCP tools, SQL, Python, and modern data stack to enable data-driven decisions.
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
- 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
- Experience with Spark/PySpark
- Experience with BI tools such as Power BI, Qlik or Apache Superset
- Experience with Snowflake
- Experience with Databricks