A recruitment agency focused on IT and Engineering is seeking a Senior Data Engineer for a major data transformation initiative at a global retail organization. The candidate will design robust data products within a Data Mesh architecture, ensuring data quality and performance while migrating existing solutions to Google Cloud Platform (GCP). Desired qualifications include strong SQL skills, experience in SSAS development, and familiarity with CI/CD practices. Opportunities for growth and collaboration are emphasized in this dynamic environment.
Qualifications
Proven experience with SSAS and OLAP cube development.
Strong SQL skills, particularly with T-SQL and BigQuery SQL.
Hands-on experience with Google Cloud Platform, especially BigQuery, Dataflow, and Cloud Storage.
Responsibilities
Design and develop SSAS cubes to support analytics and reporting.
Build, optimize, and maintain SQL-based ETL pipelines.
Collaborate with stakeholders to translate requirements into scalable data solutions.
Skills
SSAS and OLAP cube development
Strong SQL skills (T-SQL, BigQuery SQL)
Data modeling and performance tuning
Google Cloud Platform (BigQuery, Dataflow, Cloud Storage)
CI/CD practices
Power BI or other reporting tools
Orchestration tools (dbt, Airflow)
Problem-solving ability
Collaborative mindset
Fluent in English
Job description
A recruitment agency focused on IT and Engineering is seeking a Senior Data Engineer for a major data transformation initiative at a global retail organization. The candidate will design robust data products within a Data Mesh architecture, ensuring data quality and performance while migrating existing solutions to Google Cloud Platform (GCP). Desired qualifications include strong SQL skills, experience in SSAS development, and familiarity with CI/CD practices. Opportunities for growth and collaboration are emphasized in this dynamic environment.