Join Our Team

Location: London, UK; UK-based 

The Science Based Targets initiative (SBTi) has an exciting opportunity for a Senior Full-Stack Software Engineer. Joining the growing digital function within the SBTi’s global operations team, you will collaborate closely with other teams to ensure that the SBTi technology infrastructure is well supported and service excellence is at the core of the organization.

Key Responsibilities: 

• Collaborate closely & develop practices with DevOps by ensuring reliable deployment, monitoring, and scalability of applications across environments
• Contribute to the day-to-day management of the SBTi website by working with subject matter experts to ensure content accuracy, relevance, and transparency.
• Design, implement, and maintain application code across the full stack using TypeScript, React, and Python in line with established standards.
• Contribute to the continuous improvement of digital platforms and performance to meet evolving user needs and business priorities.
• Modernise and refactor legacy codebases while ensuring system stability and functional continuity.
• Transform user stories and technical designs into high-quality solutions that meet functional requirements and quality expectations.
• Develop and support robust, secure integrations between systems using REST-based APIs and appropriate interface technologies.
• Write testable and maintainable code while supporting testing activities through defect resolution and root cause analysis.
• Support the stability of live services by investigating defects and contributing to fixes in line with agreed operational processes.
• Work closely with product and QA teams to deliver coherent solutions through active participation in backlog refinement and planning.
• Proactively improve development practices, AI-assisted workflows, and knowledge sharing across the wider engineering team.

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Location: Mexico / UK

Apply by: Wednesday 10 June 2026

Job Purpose and Background:

As the Services Senior Data Associate at the Science Based Targets initiative (SBTi), you will be a key driver in ensuring the accuracy, consistency, and integrity of customer and target data as it moves through our validation services to the public-facing SBTi Target Dashboard. Working with a high degree of independence, you will identify data anomalies before they become issues, implement quality assurance protocols, and contribute to solutions to improve our data ecosystem.

Daily, you can expect to conduct rigorous data audits, triage and resolve data-related issues, and refine the internal workflows that support our weekly publishing pipeline, ensuring data reliability for Services operations and reporting. Additionally, you will maintain critical documentation like data dictionaries and collaborate closely with Product and Technology colleagues to identify and resolve more complex issues. You will also complete special projects as needed to support Services colleagues with advanced analytics and reporting.

Key Responsibilities: 

• Build on established standards to implement rigorous processes, controls, and audits to improve overall data quality and consistency for SBTi Services.
• Drive recurring Quality Assurance procedures for the Target Dashboard and core operational data, utilizing automated workflows and "human-in-the-loop" monitoring to surface data issues early and enable rapid remediation.
• Partner with operations and technology colleagues to automate repetitive data tasks to optimize the weekly publishing pipeline.
• Maintain critical documentation, including data dictionaries and process manuals.
• Investigate and resolve data issues in partnership with Product, Engineering, and subject matter experts in Services; perform or delegate related clean-up tasks to relevant colleagues.
• Support the triaging of internal and external data-related requests and queries.
• Participate in Agile ceremonies and cross-functional teams to contribute to the management and improvement of the wider organization data ecosystem.
• Build dashboards and automations to support KPI tracking and data monitoring.

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