Expert Data Engineer
What will you do?
As an Expert Data Engineer, you will help design and build modern data platforms and products across cloud and on-premise environments. You will work closely with business and technical stakeholders to create scalable data solutions, optimize data processing pipelines, and support data-driven decision making within agile delivery teams. 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
Daily tasks
- Design, build, test and deploy cloud and on-premise data models and transformations
- Develop and maintain ETL and ELT pipelines
- Onboard new data sources and build data ingestion frameworks
- Design, build, test and deploy cloud data warehouses and data products
- Optimize data views and schemas for reporting and visualization use cases
- Review, interpret and implement business and technical requirements
- Collaborate on backlog refinement, user stories and epics in Jira
- Ensure data platform performance, scalability and reliability
Requirements
7+ years of commercial experience as a Data Engineer Strong SQL, Python Experience with data modelling Understanding of data warehousing, data lakes and data lakehouse architectures Hands-on experience with GCP data engineering tools
Very good knowledge of BigQuery
Experience with DBT, Airflow and Trino Understanding of CI/CD principles and practices Experience designing and building 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
Must have: Data engineering, SQL, Python, Data modelling, Data warehouse, Data Lake, GCP, dbt, Airflow, Trino, CI/CD, Data pipelines, BigQuery
Nice to have: Bi tools, Power BI, Qlik, Apache Superset, Snowflake, Databricks, Spark, PySpark