Data Engineer

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Ipsos CrossMedia is at a pivotal and exciting stage of growth, and we are looking for a Data Engineer to join our innovative Audience Measurement team. This is a fantastic opportunity to work on both high‑profile, established projects for blue‑chip clients and to contribute to brand‑new, greenfield initiatives.

This role will suit candidates with 2 to 3 years of commercial experience. The role is based in our Cambridge offices but we also welcome applications from those who can work from our central London offices and able to travel to our offices in Cambridge where the main team is based.

We are constantly evolving our workflows and are committed to investing in cutting‑edge technology. If you are passionate about building and deploying data‑centric systems on a major cloud platform and want to make a tangible impact, you will thrive here. You will have the opportunity to contribute ideas and grow with a team that is shaping the future of our data infrastructure.

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• Build, maintain, and improve our data pipelines and ETL/ELT processes.
  
• Work with data warehousing solutions, contributing to data models and optimizing queries to ensure data is accessible and performant for analytics teams.
  
• Develop, maintain, and monitor our data ingestion and delivery pipelines using modern orchestration tools, ensuring data flows seamlessly and reliably.
  
• Apply best practices for data quality, testing, and observability, helping to ensure the data delivered to stakeholders is accurate and trustworthy.
  
• Collaborate closely with our talented Data Scientists and R&D teams to provide the clean and structured data needed to power their research.
  
• Help monitor the health and performance of our data systems, assist with root cause analysis, deploy fixes, and provide technical support.
  
• Continuously learn about new data technologies, test and implement enhancements to our platform, and contribute to technical documentation.
  

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• Experience building and maintaining data pipelines, solid understanding of ETL/ELT patterns.
  
• Strong hands‑on experience with Python and SQL for data processing and automation.
  
• Good understanding of data modeling techniques and data warehousing concepts.
  
• Experience with major cloud providers (GCP, AWS, or Azure); GCP experience is a significant plus.
  
• Exposure to large‑scale data processing frameworks (e.g., Spark).
  
• Familiarity with data workflow orchestration tools (e.g., Airflow).
  
• Interest or exposure to IaC tools (e.g., Terraform).
  
• Familiarity with container technologies like Docker and Kubernetes.
  
• Basic understanding of applying continuous integration/delivery principles to data workflows.
  
• Interest in modern data quality and testing frameworks.
  
• Proficiency with version control systems like Git.
  

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 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.

Your application will be reviewed by our Talent Team who will be in touch either way to let you know the outcome.

Cambridge, England, United Kingdom