MAKE YOUR MARK AT IPSOS

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.

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

As a key member of our team, you will be a key part of our data platform, helping to ensure its reliability, scalability, and efficiency.