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Media Solutions Engineer
Job summary
A digital consultancy in Greater London is looking for a Media Solutions Engineer to build and maintain tools for internal teams and clients. The role involves developing innovative data pipelines, working with AI-driven workflows, and contributing to broader technical solutions. Applicants should have 3-4 years of experience with JavaScript/TypeScript and cloud environments like GCP, AWS, or Azure. This position offers a competitive salary between £60K-£75K depending on experience.
Qualifications
- 3-4 years' experience building production-grade tools or applications.
- Strong JavaScript/TypeScript background.
- Experience in cloud environments, ideally GCP.
Responsibilities
- Design and maintain internal and client-facing tools.
- Develop data pipelines and ETL workflows.
- Contribute to data and technology strategy discussions.
Skills
An established, independent digital consultancy working at the intersection of media, data, and technology. The company partners with major brands and public-sector organisations, helping them solve complex problems through bespoke technical solutions.
This is a hands-on engineering role focused on building and maintaining tools used by both internal teams and external clients.
You’ll work across data, automation, and emerging AI-driven workflows, contributing directly to the design, delivery, and evolution of technical solutions.
Responsibilities include:
- Designing, building, and maintaining internal and client-facing tools
- Developing data pipelines and lightweight ETL workflows
- Working on a shared internal tooling platform used across teams
- Delivering custom technical solutions aligned to client innovation roadmaps
- Contributing to broader data and technology strategy discussions
- Explaining technical concepts clearly to non-technical stakeholders
- Supporting adoption through documentation and training
- Around 3-4 years' experience building production-grade tools or applications
- Strong JavaScript / TypeScript background (not Python-led)
- Recent hands-on exposure to AI or agent-style workflows (commercial or serious side projects)
- Experience working in cloud environments, ideally GCP, with AWS or Azure also relevant
Sphere is an equal opportunities employer. We encourage applications regardless of ethnic origin, race, religious beliefs, age, disability, gender or sexual orientation, and any other protected status as required by applicable law.
If you require any adjustments or additional support during the recruitment process for any reason whatsoever, please let us know.
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.