Location: Cambridge, United Kingdom (Hybrid – 2-3 days per week in the office)
Salary: £54,600 – £73,650 per annum + benefits
Contract Type: Full-time (35 hours per week), Permanent
Closing Date: 29 April 2025
About Cambridge University Press & Assessment
Cambridge University Press & Assessment, a global leader in academic publishing and educational assessment, is part of the University of Cambridge. Known for our dedication to excellence, we work on cutting-edge educational solutions, including AI-driven assessment technologies. As part of the Applied AI team, we are looking for a highly experienced Senior Data Engineer to join our innovative journey.
Are you a highly experienced data engineer with a proven track record of delivering scalable, production-grade data pipelines? Do you excel at optimising data workflows to power AI-driven educational solutions? If you thrive in optimising data architecture and are ready to lead technical innovations, we want you to join our team!
Key Responsibilities
As a Senior Data Engineer at Cambridge University Press & Assessment, you will be responsible for:
Leading Data Engineering Teams
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Oversee a team of data engineers to develop high-performance, scalable data pipelines.
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Lead the architecture and development of data infrastructure that supports machine learning models and analytics for AI-driven educational products.
Optimising Data Infrastructure
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Architect, implement, and optimise cloud-based data storage and compute solutions.
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Introduce new data technologies and frameworks to improve system scalability and efficiency.
Ensuring Data Governance and Best Practices
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Establish and enforce data governance and best practices to ensure data integrity and security across systems.
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Develop monitoring solutions to track system performance and reliability.
Collaboration with AI and ML Teams
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Work closely with data scientists and ML engineers to ensure that data pipelines align with machine learning model needs.
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Drive the standardisation of data engineering practices across the Applied AI team.
Continuous Improvement and Innovation
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Evaluate and integrate emerging data technologies, aiming to streamline data workflows and enhance analytics capabilities.
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Keep pace with industry trends to ensure that the data infrastructure is future-proof and scalable.
Qualifications and Skills
Essential:
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Educational Background: A degree in computing, engineering, science, or social science with a strong analytical focus.
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Experience: Minimum 5 years in a data engineering role, with at least 2 years in a senior or lead capacity.
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Technical Proficiency: Advanced proficiency in SQL, Python, and shell scripting for building robust, testable production-grade code.
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Data Architecture: Extensive experience in designing and managing large-scale data architectures, including cloud-based data storage solutions.
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Cloud Computing: Expertise in cloud computing (AWS, Azure, or GCP) and distributed systems.
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Problem-Solving: Experience in troubleshooting and optimising data pipelines to enhance system performance.
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Data Governance: Deep understanding of data governance, security policies, and risk management practices in data engineering.
Desirable:
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Postgraduate Degree: A postgraduate qualification in computing, engineering, or science.
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Infrastructure as Code (IaC): Experience with AWS-native tools like CloudFormation, CDK, or Terraform.
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Orchestration Tools: Experience with orchestration frameworks like Apache Airflow, Prefect, or Dagster.
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MLOps: Familiarity with supporting ML lifecycle pipelines.
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Leadership Experience: Proven track record of mentoring or leading engineering teams.
Benefits and Rewards
At Cambridge University Press & Assessment, we offer a comprehensive benefits package to ensure you are supported both in and out of work.
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Annual Leave: 28 days plus bank holidays.
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Private Medical & Health Insurance: To support your health and wellbeing.
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Pension Scheme: Group personal pension with life assurance up to 4x your annual salary.
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Bonus Scheme: Discretionary annual bonus based on company and individual performance.
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Hybrid Working: Flexible working arrangements with a balance between remote work and office-based collaboration.
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Travel Benefits: Green travel schemes to reduce your environmental footprint.
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Wellbeing Support: Access to health and wellbeing resources, including fitness memberships and mental health support.
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Learning and Development: Access to internal and external training opportunities to further your professional growth.
Why Join Us?
At Cambridge University Press & Assessment, you will be part of a collaborative team that strives to transform the educational landscape through innovative solutions. Here, your ideas will help shape the future of learning and assessment technologies. We value diverse perspectives and believe that better outcomes are achieved through diversity of thought and experience.
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Inclusive Culture: We embrace diversity and are committed to creating an inclusive environment where everyone can thrive. We actively encourage applications from candidates of all backgrounds.
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Career Development: You will have the opportunity to grow professionally in a global organisation that values continuous learning and career progression.
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Impactful Work: Join a team that is making a tangible impact in the field of education, empowering students, teachers, and researchers worldwide.
Application Process
To apply for this Senior Data Engineer role at Cambridge University Press & Assessment, please submit your CV and cover letter via the online application portal by 29 April 2025. We review applications on an ongoing basis, so early submission is recommended.
Interview Process:
If shortlisted, interviews will be held shortly after the closing date. Successful candidates will be contacted to arrange a time for interview.
Visa Sponsorship:
Cambridge University Press & Assessment is an approved employer for the Skilled Worker visa route, and we are open to sponsoring eligible candidates. Please check your eligibility for a Skilled Worker visa on the UK government website.
Additional Information
As a global leader in educational publishing and assessment, Cambridge University Press & Assessment is committed to maintaining high standards of integrity and trust in all areas of operation. Successful candidates will undergo satisfactory background checks, including a DBS (Disclosure and Barring Service) check due to the regulated nature of the industry.
If you would like to know more about this exciting opportunity or have any questions regarding the role, please contact our recruitment team at recruitment@cambridge.org.
Conclusion
If you are a passionate and experienced Senior Data Engineer seeking to work in a forward-thinking environment where you can leverage your skills in data engineering to drive innovation in AI-powered educational solutions, we invite you to apply today. Take the next step in your career with Cambridge University Press & Assessment and be part of a team that is making a difference in education worldwide.