Tokyo , Japan
Published on: November 13, 2026
This cloud security provider helps organisations adopt cloud services securely and efficiently. Its subscription-based services address challenges associated with the growing use of software as a service, including unauthorised access, information security risks and the complexity of managing multiple tools.
The organisation is focused on helping customers make effective use of cloud technology while protecting their data. It promotes autonomy, ownership and continuous learning, encouraging people to identify problems, take initiative and turn ideas into practical improvements. Working across teams is central to its approach, with colleagues in technology and business functions collaborating towards shared goals. For a data professional, this offers the opportunity to contribute to the development of security-focused services and to grow expertise across data engineering, cloud infrastructure and business data use.
As a Data Engineer, you will design, improve and operate the data platform that supports a cloud security service. You will manage large volumes of user activity and service status data, building the reliable and secure foundations that enable analysis and informed business decisions.
Your work will include developing data pipelines and ETL processes, optimising databases and AWS resources, shaping data access policies and supporting business intelligence tools. You will also establish data collection and aggregation processes for new services and features, and define the data needed to understand customer usage and inform commercial strategy. Data cleansing and transformation will be part of ensuring information is accurate and useful.
You will work closely with product, sales, marketing and customer success teams. The role offers broad ownership of the data platform, from understanding requirements through to designing, building and operating solutions.
As part of our hiring process, this role may use Keystone AI’s artificial intelligence or automated tools to assist with reviewing and screening applications. These tools support, but do not replace, human judgment in making hiring decisions.
Your application will be considered complete only after you have completed the full registration process on the Keystone AI platform, including creating your profile, uploading your CV, and submitting your application. The AI interview is optional but encouraged and is not required for your application to be considered.
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CGP Group is an affirmative equal-opportunity employer and recruitment firm. We evaluate qualified applicants without regard to race, color, religion, creed, gender, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. Information provided in this advertisement is for recruitment purposes only.