GCP Engineer

GCP ENGINEER
6-MONTH CONTRACT
LONDON (FULLY REMOTE)
£500-£600 PER DAY
This role as a GCP BigQuery Engineer offers the chance to work with a leading energy company focused on leveraging data to improve efficiency and decision-making. You'll be working on complex data projects within Google Cloud, optimising pipelines, and ensuring reliable data processing. The role also involves mentoring others and implementing best practices in BigQuery and dbt. THE COMPANY
This energy company is a leader in sustainable and data-driven energy solutions, leveraging cutting-edge technology to optimise operations, forecast demand, and enhance efficiency. With a strong focus on digital transformation, they are investing in cloud-based data platforms to drive smarter decision-making and improve sustainability efforts. Joining this team will give you the chance to work on high-impact projects that directly influence energy production, distribution, and consumption, while collaborating with industry experts in a rapidly evolving sector. THE ROLE
As a GCP Engineer, you will play a key role in a large-scale data transformation project, ensuring efficient data processing, optimisation, and integration. You will also be responsible for creating clear documentation to communicate technical processes to non-technical teams.
Your key responsibilities will include:
• 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 AND REQUIREMENTS
To succeed in this role, you should have:
• 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, Terraform, Airflow, etc.) and their integration with BigQuery. HOW TO APPLY
Please register your interest by sending your CV via the apply link on this page.