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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - **Company:** Cambridge University Press & Assessment - **Location:** Cambridge, UK - **Salary:** £40,300.0 - £52,450.0 - **Contract:** Permanent contract - **Skills:** Agile Methodology, Artificial Intelligence, Airflow, Amazon Web Services, Data Analysis, Automation of Tests, Microsoft Azure, Cloud Computing, Code Review, Continuous Integration, Data Architecture, Information Engineering, Data Governance, Data Infrastructure, Extract Transform Load (ETL), Data Security, Data Systems, DevOps, Python (Programming Language), Machine Learning, Meta-Data Management, NoSQL, Scrum Methodology, Cloud Services, SQL Databases, Data Processing, Google Cloud, Data Ingestion, Apache Spark, Git, Kubernetes, Infrastructure Automation Frameworks, Information Technology, Data Lineage, Data Analytics, Data Management, Virtual Agents, Software Version Control, Data Pipelines - **Published:** October 18, 2026 - **Apply:** https://www.careerjet.co.uk/job/gb7603a4ffb9573ab711cd0bdfa354cb2b/eaa ## About the Role You will have experience designing, building, and maintaining reliable data pipelines and data platforms, with a strong understanding of data engineering principles and cloud-based technologies. You will be proficient in Python, SQL, and at least one ETL/ELT framework, with the ability to develop scalable solutions that support data processing, analytics, and AI-driven applications. Experience working with relational and NoSQL databases, version control systems such as Git, and troubleshooting complex data workflows is essential. You will be a collaborative and proactive communicator who can work effectively with technical and non-technical stakeholders, contribute to Agile delivery teams, and take ownership of delivering high-quality outcomes. A degree in computing engineering, or computer science is required. Excellent written and spoken English communication skills are essential. If you meet the above minimum requirements, we encourage you to apply. Your application will be even stronger if you can also demonstrate the following desirable criteria: * Experience with cloud-native data services on AWS, Azure, or Google Cloud Platform. * Experience with data modelling, schema design, and data architecture best practices. * Working knowledge of Infrastructure as Code (IaC) tools and practices. * Experience with Apache Spark, Apache Airflow, or equivalent data processing and orchestration frameworks. * Experience supporting machine learning, analytics, or AI-focused data platforms. * Familiarity with data governance, metadata management, data lineage, and data quality frameworks. * Knowledge of DevOps practices, CI/CD pipelines, and automated testing for data solutions. * Experience working in Agile product development environments. * A passion for continuous learning and applying emerging technologies to solve business challenges. * Strong problem-solving skills, with the ability to balance technical excellence, delivery timelines, and business value. * Demonstrated commitment to collaboration, innovation, accountability, and continuous improvement. ## Description 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 day of employment, including other work arrangements should you require adjustments due to a disability or long-term health condition., We are a Disability Confident (DC) employer that is committed to equality and inclusion ensuring our recruitment process is accessible to all. The DC scheme's Offer of an Interview commitment applies to applicants who opt in, and disclose a disability or a long-term health condition, and who best meet the minimum criteria for the role. In instances where interviewing all qualifying candidates is not practicable and/or appropriate, we prioritise those who best meet the minimum criteria, as we would for applicants who do not have a disability or long-term health condition. Cambridge University Press & Assessment is an approved UK employer for the sponsorship of eligible roles and applicants under the Skilled Worker visa route. Please refer to the gov.uk website for guidance to understand your own eligibility based on the role you are applying for.