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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Engineer - Audience Measurement - **Company:** Ipsos S.A. - **Location:** Cambridge, UK - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Agile Methodology, Amazon Web Services, Code Review, Computer Programming, Information Engineering, Python (Programming Language), Infrastructure Automation Frameworks, Data Management, Data Pipelines, Serverless Computing, Legacy Systems - **Published:** September 8, 2026 - **Apply:** https://www.collegerecruiter.com/job/2840675595-senior-data-engineer-audience-measurement ## About the Role To be successful in this role, your technical skills should be matched by a pragmatic, cost-first approach to problem-solving., * Extensive data engineering experience: a proven track record of designing, building, and maintaining scalable data platforms using modern cloud providers (AWS or GCP). * Serverless & event-driven expertise: experience with, or strong interest in, decomposing workloads into independent steps orchestrated by managed workflow services and triggered by data events. * Strong programming skills: expert-level proficiency in Python, focusing on building decoupled, testable functions and clear data contracts. * Migration & testing experience: experience with safely modernizing legacy systems using parity testing and incremental routing patterns. * IaC & containerization: hands-on experience packaging runtimes into portable containers and provisioning cloud resources using modern Infrastructure as Code tools. * Leadership & mentorship: previous line-management experience or readiness to step into people leadership, guiding a team of engineers, conducting rigorous code reviews, and authoring clear architecture decisions. * Cost-conscious mindset: strong understanding of cloud economics, designing architectures that scale sustainably. ## Description As a Lead Data Engineer, you will guide the platform's evolution toward serverless, event-driven patterns, moving away from container-orchestrated workflows toward managed cloud services., * Vision and strategy: champion the architectural vision within your domain, translating business needs into a practical, cost-conscious strategy and effectively communicating it to all stakeholders. * Technical leadership & line management: act as a lead technical authority for data engineering, including line-management responsibilities for a small team of engineers. Guide the team on best practices, decoupled logic, and incremental modernization. * Platform operations: oversee the operational health of your team's data pipelines and systems, working closely with our Production team to ensure systems are highly observable, well-documented, and easy to operate via Infrastructure as Code and containerization. * Hands-on engineering: personally implement core architecture, manage cloud project costs, and ensure systems are resilient. * Data science & analytics enablement: partner with data scientists on model productionisation, establishing clear data contracts and shared standards that enable effective collaboration. * Agile delivery: champion agile methodologies, collaborating closely with Product Managers to ensure clear requirements and drive the continual, iterative delivery of new capabilities. * Stakeholder and client relations: act as a key technical advisor for clients and internal teams, explaining complex architectural trade-offs to non-technical audiences and ensuring the platform meets strategic objectives. * Continuous improvement: foster a culture of incremental improvement, advocating for safe upgrades using parity testing, avoiding risky rewrites, and ensuring long-term maintainability of the codebase. ## Related Videos - [Are Code Reviews Worth It? Insights from 16 Years of Review Data](https://www.wearedevelopers.com/videos/1135-are-code-reviews-worth-it-insights-from-16-years-of-review-data) - [Why and when should we consider Stream Processing frameworks in our solutions](https://www.wearedevelopers.com/videos/1085-why-and-when-should-we-consider-stream-processing-frameworks-in-our-solutions) - [How to TDD in legacy code](https://www.wearedevelopers.com/videos/309-how-to-tdd-in-legacy-code) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Dev Digest 131 - AI'm not sure about OSS](https://www.wearedevelopers.com/magazine/472-dev-digest-131-ai-m-not-sure-about-oss) - [Software Engineer Salary London](https://www.wearedevelopers.com/magazine/252-software-engineer-salary-london)