Senior Data Consultant

• 5+ years of commercial experience as a Data Engineer
• Strong SQL, Python and Spark/PySpark skills
• Experience with data modelling
• Knowledge of data warehousing, data lakes and data lakehouse concepts
• Hands-on experience with cloud data engineering tools, preferably on GCP
• Experience with DBT, Airflow and Trino
• Understanding of CI/CD practices and automation
• Experience designing and implementing scalable data pipelines
• Hybrid work in one of our locations: Lodz, Poznan, Krakow, Warsaw, Wroclaw (2 office days per week)

Nice to have

• Experience with BI tools such as Power BI, Qlik or Apache Superset
• Experience with Snowflake
• Experience with Databricks

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.

,[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] Requirements: Data engineering, SQL, Python, Spark, PySpark, Data modelling, Data warehouse, Data Lake, GCP, dbt, Airflow, Trino, CI/CD, Data pipelines, Bi tools, Power BI, Qlik, Apache Superset, Snowflake, Databricks Additionally: International projects, Free coffee, Bike parking, Free snacks, Free beverages, Free parking, In-house trainings.