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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.\nYour tasks\nDesign, build, test and deploy cloud and on-premise data models and transformations\nDevelop and maintain ETL and ELT pipelines\nOnboard new data sources and build data ingestion frameworks\nDesign, build, test and deploy cloud data warehouses and data products\nOptimize data views and schemas for reporting and visualization use cases\nReview, interpret and implement business and technical requirements\nCollaborate on backlog refinement, user stories and epics in Jira\nEnsure data platform performance, scalability and reliability\nYour skills\n7+ years of commercial experience as a Data Engineer\nStrong SQL, Python \nExperience with data modelling\nUnderstanding of data warehousing, data lakes and data lakehouse architectures\nHands-on experience with GCP data engineering tools\n\nVery good knowledge of BigQuery\n\nExperience with DBT, Airflow and Trino\nUnderstanding of CI/CD principles and practices\nExperience designing and building scalable data pipelines\nNice to have\nExperience with Spark/PySpark\n\nExperience with BI tools such as Power BI, Qlik or Apache Superset\nExperience with Snowflake\nExperience with Databricks\nWe offer\nHybrid work in one of our locations: Lodz, Poznan, Krakow, Warsaw, Wroclaw (2 office days per week)\nWorking in a highly experienced and dedicated team\nBenefit package tailored to your needs (medical, sport, lunch subsidy, life insurance, etc.)\nOnline training and certifications\nAccess to e-learning platform\nWork From Anywhere (up to 140 days/year abroad)\nSocial 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