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An established industry player is seeking a GCP Engineer for a 6-month contract. This fully remote position offers the opportunity to work on innovative data projects with a focus on Google Cloud and BigQuery. You will be integral in optimising data pipelines and ensuring efficient data processing while mentoring others in best practices. Your contributions will directly impact the efficiency of energy solutions, making this role both challenging and rewarding. Join a team dedicated to leveraging technology for sustainable energy solutions and take your career to the next level in a rapidly evolving sector.
GCP ENGINEER
6-MONTH CONTRACT
LONDON (FULLY REMOTE)
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.
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.
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:
To succeed in this role, you should have:
Please register your interest by sending your CV via the apply link on this page.
Not Applicable
Full-time
Information Technology
Data Infrastructure and Analytics