Summary: The Data Platform Engineer (GCP/dbt) will engage in complex data projects within Google Cloud, focusing on optimizing data pipelines and ensuring reliable data processing. This role includes mentoring team members and implementing best practices in BigQuery and dbt. The engineer will also document technical processes for non-technical stakeholders and contribute to a large-scale data transformation project.

Key Responsibilities:

• Designing and optimising a BigQuery-based data warehouse, ensuring scalability and efficiency.
• Building and maintaining ELT pipelines using dbt, enabling seamless data transformation.
• Developing and implementing performance tuning strategies to optimise query execution and cost efficiency.
• Working with stakeholders to understand business needs, translating them into effective data models.
• Creating clear and comprehensive documentation to support knowledge sharing and adoption.

Key Skills:

• Strong commercial experience with Google BigQuery and the GCP data ecosystem.
• Expertise in dbt, including building and optimising data models.
• Proficiency in SQL for large-scale data transformations.
• Experience in ELT processes and best practices for cloud-based data warehousing.
• Knowledge of performance tuning techniques for optimising BigQuery queries and costs.
• Familiarity with cloud services (GCP, Airflow) and their integration with BigQuery.

Salary (Rate): 500

City: undetermined

Country: UK

Working Arrangements: remote

IR35 Status: outside IR35

Seniority Level: undetermined

Industry: IT