Data Engineer

• Help design, build and continuously improve the clients online platform.
  


• Research, suggest and implement new technology solutions following best practices/standards.
  


• Take responsibility for the resiliency and availability of different products.
  


• Be a productive member of the team.
  

Requirements

• Demonstrated expertise in developing SSAS and OLAP cubes
  


• Strong command of SQL languages, including T-SQL and BigQuery SQL
  


• Solid experience in data modeling and optimizing performance
  


• Practical knowledge of Google Cloud Platform services, particularly BigQuery, Dataflow, and Cloud Storage
  


• Understanding of CI/CD practices within a data engineering environment
  


• Proficiency with Power BI or similar data visualization and reporting tools
  


• Familiarity with data orchestration frameworks such as dbt, Airflow, or comparable tools
  

Benefits

• A challenging, innovating environment. 
  


• Opportunities for learning where needed.