Shape the Future of AIJoin one of the UK's fastest-growing companies and become a Professional Development Expert in Artificial Intelligence.

View Roles

Senior Data Engineer (GCP)

Ipsos
Harrow
2 months ago
Create job alert

Role Overview:

The Audience Measurement team at Ipsos use deep understanding of people to make sense of audiences and how they consume media. We use these to influence media strategy, helping clients to answer crucial questions, such as how to target audiences, maximise attention across platforms, enhance audience experience, and demonstrate or increase audience value.


We are recruiting a Data Engineer for one of our flagship accounts, Out Of Home – Route.


Your work will be essential for the Route project's success. Building robust and scalable infrastructure and being the linchpin between the data platform and data science teams in an ‘advisory-like’ role will enable data scientists to focus on research and innovation in synthetic data, enhancing data-driven solutions for clients and Ipsos. You will often support the productionisation and scaling of local ML models, guiding the data science teams and providing the guardrails as they develop and iterate.


What will I be doing?


As a Data Engineer on the ground-breaking Route project, you'll develop and maintain the data infrastructure for a first-of-its-kind synthetic travel survey, generating audience figures for Out-of-Home media in Great Britain. Reporting to a Principal Data and Platform Engineer, you will collaborate with data scientists to design, build, and optimise data pipelines for high-quality audience measurement data.


Your key responsibilities will include:

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. Participate in agile ceremonies and provide occasional client interaction. Engage in DataOps practices and improve data delivery performance.

Our Tech Stack:

GCP:GCS, BigQuery, GKE, Artifact Registry, Vertex AI, App Engine, Data Store, Secret Manager, Pub/SubOpen-Source Tools:Argo Workflows, Argo Events, dbt, Elementary, Cerberus, Terraform, Jupyter Hub, Docker, KubernetesCoding Languages:Python, SQL, JavaScript (minimal)CI/CD & PM Tools: Azure DevOps, Confluence

What do I need to bring with me?


It is essential that your personal attributes compliment your technical skills. To be successful in this role you will need the following skills and experience:

A minimum of 3 years relevant commercial experience with experience of scalable data pipelines using Argo on GKE, SQL on BigQuery, Python libraries like Pandas. Comfortable with APIs and Cloud storage systems. Basic web application development knowledge using Flask, HTML, JavaScript. Experience with containerisation (Docker) and orchestration (Kubernetes). Familiarity with Terraform and data systems optimisation. Commitment to data quality and experience in synthetic data, AI/ML model deployment. Excellent communication skills and a collaborative and positive mindset. Willingness to learn. GCP certifications are a plus.

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 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.


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 1 Disability Confident Committed. We are dedicated to providing an inclusive and accessible recruitment process. 

Related Jobs

View all jobs

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer - Hybrid Manchester - Perm

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Automate Your Machine Learning Jobs Search: Using ChatGPT, RSS & Alerts to Save Hours Each Week

ML jobs are everywhere—product companies, labs, consultancies, fintech, healthtech, robotics—often hidden in ATS portals or duplicated across boards. The fastest way to stay on top of them isn’t more scrolling; it’s automation. With keyword-rich alerts, RSS feeds, and a reusable ChatGPT workflow, you can bring relevant roles to you, triage them in minutes, and tailor strong applications without burning your evenings. This is a copy-paste playbook for www.machinelearningjobs.co.uk readers. It’s UK-centric, practical, and designed to save you hours each week. What You’ll Have Working In 30 Minutes A role & keyword map spanning LLM/NLP, Vision, Core ML, Recommenders, MLOps/Platform, Research/Applied Science, and Edge/Inference optimisation. Shareable Boolean searches you can paste into Google & job boards to cut noise. Always-on alerts & RSS feeds delivering fresh roles to your inbox/reader. A ChatGPT “ML Job Scout” prompt that deduplicates, scores fit, and outputs tailored actions. A lightweight pipeline tracker so deadlines and follow-ups never slip.

10 Machine‑Learning Recruitment Agencies in the UK You Should Know (2025 Job‑Seeker Guide)

With deep‑learning projects now integral across healthcare, finance and tech, UK demand for machine‑learning talent is booming. Lightcast shows +50 % YoY growth in UK adverts referencing “machine learning,” “deep learning,” “computer vision” or “reinforcement learning” in Q1 2025. Monthly vacancies sit around 1,800–2,100, but certified ML specialists number fewer than 15,000. Specialist recruiters help candidates access hidden roles, competitive packages, and structured interview prep. How we screened: Only UK‑registered agencies with clear ML/AI or Data practices Agencies that posted ≥ 5 UK ML roles between March and June 2025

Machine Learning Jobs Skills Radar 2026: Emerging Tools, Frameworks & Platforms to Learn Now

Machine learning is no longer confined to academic research—it's embedded in how UK companies detect fraud, recommend content, automate processes & forecast risk. But with model complexity rising and LLMs transforming workflows, employers are demanding new skills from machine learning professionals. Welcome to the Machine Learning Jobs Skills Radar 2026—your annual guide to the top languages, frameworks, platforms & tools shaping machine learning roles in the UK. Whether you're an aspiring ML engineer or a mid-career data scientist, this radar shows what to learn now to stay job-ready in 2026.