Data Engineer

3+ years of commercial experience as a Data EngineerStrong knowledge of SQL, Python and Spark/PySparkExperience with data modellingUnderstanding of Data Warehousing, Data Lakes and Data Lakehouse conceptsHands-on experience with cloud data engineering tools, preferably on GCPExperience with DBT, Airflow and TrinoUnderstanding of CI/CD practicesNice to haveExperience with BI tools such as Power BI, Qlik or Apache SupersetExperience with SnowflakeExperience with Databricks What will you do?As a Data Engineer, you will design and develop modern data platforms and data products in cloud and on-premise environments. You will work closely with business and technical teams to build scalable data solutions, onboard new data sources, and optimize data processing pipelines that support analytics and reporting across the organization.We offerHybrid work in one of our locations: Lodz, Poznan, Krakow, Warsaw, Wroclaw (2 office days per week)Working in a highly experienced and dedicated teamBenefit package tailored to your needs (medical, sport, lunch subsidy, life insurance, etc.)Online training and certificationsAccess to e-learning platformWork From Anywhere (up to 140 days/year abroad)Social events ,[Design, build, test and deploy cloud and on-premise data models and transformations, Develop ETL processes and data pipelines, Optimize data views and structures for reporting and visualization use cases, Review, refine and implement business and technical requirements, Collaborate with teams on backlog refinement, user stories and epics in Jira, Onboard new data sources and develop ingestion, warehousing and data products] Requirements: Data engineering, SQL, Python, Spark, PySpark, Data modelling, Data warehouse, Data Lake, GCP, dbt, Airflow, Trino, CI/CD, Bi tools, Power BI, Qlik, Apache Superset, Snowflake, Databricks Additionally: International projects, Sport subscription, Training budget, Private healthcare, Free coffee, Bike parking, Free snacks, Free beverages, Free parking, In-house trainings.