Data Engineer

Job Title:

Data Engineer

Salary: £40,300 – £52,450

Location:

Cambridge, UK – Hybrid

Contract:

Permanent

Hours:

Full time, 35 hours per week

Cambridge University Press & Assessment is a world-renowned not-for-profit academic publisher and assessment organisation, proudly part of the prestigious University of Cambridge. With a legacy rooted in over 800 years of educational excellence, we are dedicated to unlocking the potential of learners and educators across the globe.

We are Cambridge University Press & Assessment, a world-leading academic publisher and assessment organisation and a proud part of the University of Cambridge.

Join our Applied AI team and help shape the future of assessment through data, innovation, and artificial intelligence. As a Data Engineer, you will work on impactful, large-scale data platforms and AI-driven solutions that support millions of learners worldwide, while growing your career in an organisation committed to Pursuing Potential through collaboration, continuous learning, and meaningful work that makes a real difference.

As a Data Engineer within the Applied AI team, you will play a key role in designing, developing, and maintaining the data platforms and pipelines that power AI-driven assessment solutions across Cambridge University Press & Assessment. Working closely with data engineers, machine learning engineers, validation specialists, and business stakeholders, you will ensure that reliable, high-quality, and secure data is available to support the development, deployment, monitoring, and continuous improvement of AI and analytics capabilities.

You will be responsible for building scalable data solutions, optimising data ingestion and transformation processes, and implementing data quality, governance, and monitoring practices. Accountable for delivering robust and maintainable data infrastructure, you will contribute directly to the organisation's strategy of leveraging artificial intelligence and data-driven decision-making to enhance assessment quality, operational efficiency, and customer outcomes.

Through collaboration, innovation, and continuous improvement, you will help establish the data foundations that enable Applied AI to deliver impactful, trusted, and industry-leading AI solutions that shape the future of assessment.

Additional responsibilities and accountabilities include:

• Contribute to the continuous improvement of data engineering standards, frameworks, and best practices.
• Support the evaluation and adoption of new data and AI technologies where they provide business value.
• Participate in code reviews and knowledge-sharing activities to promote a culture of learning and engineering excellence.
• Produce and maintain technical documentation to support operational efficiency and knowledge transfer.
• Assist with incident investigation, root cause analysis, and implementation of preventative measures.
• Contribute to effort estimation, sprint planning, and Agile delivery activities.
• Support security, privacy, and compliance requirements by adhering to organisational policies and standards.
• Build effective working relationships with colleagues across Applied AI, Assessment Operations, and broader technology teams.
• Actively identify opportunities to improve data quality, operational efficiency, and user experience.
• Keep abreast of developments in data engineering, cloud platforms, and AI technologies, applying relevant learnings to improve team capabilities.

This position has been classified as a hybrid role, requiring the selected candidate to typically spend 40-60% of their time collaborating and connecting face-to-face at their dedicated location. Aside from our hybrid principles, other flexible working requests will be considered from the first…