Data consultant

• 3+ years of commercial experience as a Data Engineer
• Strong knowledge of SQL and Python
• Experience with data modelling
• Understanding 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

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

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.

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