Lead Data Engineer: Cloud-Native, Serverless Data Platforms

Ipsos in the UK; Cambridge; Híbrido; GBP 80.000 - 110.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

25 days annual leave

Pension plan

Income protection

Life assurance

Descripción de la vacante

Ipsos in the UK is seeking a Senior/Lead Data Engineer to help evolve our Audience Measurement data platforms from our Cambridge office. You will champion a serverless, cost-conscious architecture and work with product managers to translate requirements into scalable, reliable data solutions.

The role combines hands-on Python development with cloud-native services on AWS or GCP, IaC tooling, and leadership of a small engineering team, while collaborating with data scientists to productionise

Formación

• 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, with a strong focus 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 and the ability to guide a team of engineers, conduct rigorous code reviews, and author clear architecture decisions.
• Cost-Conscious Mindset: A strong understanding of cloud economics, with the ability to design architectures that scale sustainably.

Responsabilidades

• Vision and Strategy: Champion the architectural vision within your domain. You will translate business needs into a practical, cost-conscious strategy and effectively communicate this to all stakeholders.
• Technical Leadership & Line Management: Act as a lead technical authority for data engineering, which includes line management responsibilities for a small team of engineers. You will 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. You will work 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: Serve as a senior practitioner building event-driven, serverless data pipelines. You will personally implement core architecture, manage cloud project costs, and ensure systems are resilient.
• Data Science & Analytics Enablement: Partner with data scientists on model productionisation. You will establish clear data contracts and shared standards that enable effective collaboration.
• Agile Delivery: Champion agile methodologies. You will collaborate 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. You will explain complex architectural trade-offs to non-technical audiences and ensure the platform meets strategic objectives.
• Continuous Improvement: Foster a culture of incremental improvement. You will advocate for safe upgrades using parity testing, avoiding risky rewrites, and ensuring the long-term maintainability of the codebase.

Conocimientos

Data engineering

Serverless

Python

Parity testing

IaC

Leadership

Cost optimization

Herramientas

Pulumi

Terraform

AWS

GCP

Descripción del empleo

Ipsos in the UK is seeking a Senior/Lead Data Engineer to help evolve our Audience Measurement data platforms from our Cambridge office. You will champion a serverless, cost-conscious architecture and work with product managers to translate requirements into scalable, reliable data solutions.

The role combines hands-on Python development with cloud-native services on AWS or GCP, IaC tooling, and leadership of a small engineering team, while collaborating with data scientists to productionise