Data Engineer - Audience Measurement

Ipsos; Greater London; Hybrid; GBP 70,000 - 110,000; Full time

Benefits offered by this job

Annual leave

Pension

Income protection

Life assurance

Hybrid work

Wellbeing benefits

Professional development

Job summary

Ipsos is recruiting a Data Engineer to help evolve our Audience Measurement data platforms. You will work with a team to build robust data pipelines on GCP, using Python for backend processing, and apply serverless and IaC practices.

The role involves collaborating with data scientists, implementing ETL and CI/CD, and contributing to data contracts and DataOps within a hybrid London-based setting. Join a cloud-native environment on AWS/GCP, with cross-training opportunities and a focus on

Qualifications

• Extensive Data Engineering Experience building scalable data pipelines on cloud platforms (preferably GCP).
• Expert Python skills for decoupled, testable functions and clear data contracts.
• Serverless and event-driven design with managed workflow services.
• IaC and containerization: packaging runtimes into containers and provisioning resources.
• Team collaboration with PMs, Data Scientists, Engineers and non-technical staff.

Responsibilities

• Develop robust scalable data pipelines and optimize storage on GCP.
• Implement ETL processes and CI/CD pipelines for clean, structured data.
• Collaborate with data scientists to productionise models and set data contracts.
• Provide technical support, troubleshoot issues, and research new technologies.
• Document pipelines and architectures to enforce data standards.
• Engage in DataOps and improve data delivery performance.

Skills

Python

Data pipelines

GCP

Cloud

Serverless

IaC

Terraform

Pulumi

Event-driven

Data storage

CI/CD

Tools

Pulumi

Terraform

Docker

Job description

Data Engineer – Audience Measurement

Ipsos is recruiting a data engineer to help drive the technical evolution of our Audience Measurement data platforms. Joining a wider group of engineering leaders, you will work as part of a team championing an architecture rooted in managed cloud services, cost‑conscious design, and incremental improvement. You will work closely with internal teams to develop robust scalable data pipelines and optimise data storage solutions on GCP.

What is in it for you?

• Modern Python for backend services and data processing.
• Cloud‑native serverless compute and managed workflow orchestrators. We operate across both AWS and GCP. Deep expertise in either is welcome, with opportunities to cross‑train on the other.
• Serverless NoSQL, Object Storage, and Serverless Analytics for our data layers.
• Event buses and messaging queues for asynchronous, decoupled processing.
• Infrastructure as Code (Pulumi/Terraform) and containerized deployments.

Platform Operations Responsibilities

• Develop robust scalable data pipelines and optimise data storage solutions on GCP.
• Implement ETL processes and CI/CD pipelines to ensure clean, structured data ready for use.
• Work with data scientists to integrate synthetic models into production environments and provide the guardrails and advice as they develop.
• Provide technical support, troubleshoot issues, and research new technologies to enhance capabilities.
• Document pipelines and the platform including architectures and user guides, helping to enforce data management standards.
• Engage in DataOps practices and improve data delivery performance.

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

Work within an agile framework. Participate in agile ceremonies and provide occasional client interaction.

Team Working / Stakeholder Engagement

Provide technical advice and guidance for internal teams and occasionally clients. Explain complex technical solutions to non‑technical audiences.

Continuous Improvement

Foster a culture of incremental improvement.

Vision and Strategy

Support the architectural as set out by the Lead Data Engineer.

About You – Qualifications

• Extensive Data Engineering Experience: A proven track record of building robust scalable data pipelines using modern cloud providers (Ideally GCP).
• Strong Programming Skills: Expert‑level proficiency in Python, with a strong focus on building decoupled, testable functions and clear data contracts.
• 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.
• 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.
• Team working / Collaboration: Experience of working with wider teams of Product Managers, Data Scientists, Engineers and non technical staff.

Benefits

We offer a comprehensive benefits package designed to support you as an individual. Our standard benefits include 25 days annual leave, pension contribution, income protection and life assurance. In addition, there are a range of health & wellbeing, financial benefits and professional development opportunities.

We realise you may have commitments outside of work and will consider flexible working applications – please highlight what you are looking for when you make your application. We have a hybrid approach to work and ask people to be in the office or with clients for 3 days per week.

Equality, Diversity and Inclusion

We are committed to equality, treating people fairly, promoting a positive and inclusive working environment and ensuring we have diversity of people and views. We recognise that this is important for our business success – a more diverse workforce will enable us to better reflect and understand the world we research and ultimately deliver better research and insight to our clients. We are proud to be a member of the Disability Confident scheme, certified as Level 2 Disability Confident Employer. We are dedicated to providing an inclusive and accessible recruitment process.