Senior Data Consultant with GCP

• 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

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

We are GFT Poland. WE KNOW how to tackle complex issues with innovative approach to deliver the highest value. Our reputation has been built around one simple rule: we do not overpromise, WE DELIVER . We deliver to our employees, clients and partners. WE GROW as you grow, so investing in you is our business strategy. Caring for each other is our priority. WE CARE who you are, what you need, how you feel. WE CARE to smile, have fun and develop as human beings.

Why Choose GFT?

• A culture of top performance
• Deep tech IT engineering & consulting
• 1200 skilled & top-class experts
• 77% of the team are regular/senior
• Products that contribute to a sustainable world
• Competitive salary and benefits
• Ambitious projects, trainings and tools you need to flourish
• Google Cloud Partner of the Year - for going above and beyond for customers

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: SQL, Python, Data modelling, Data Lake, GCP, Data engineering, BigQuery, dbt, Airflow, CI/CD, Data pipelines, Spark, PySpark, BI, Power BI, Qlik, Apache, Snowflake, Databricks Additionally: Life insurance, Sport subscription, Training budget, Private healthcare, International projects, Free coffee, Bike parking, Free snacks, Free beverages, Free parking, In-house trainings.