Data Engineer
Cambridge University Press
Join Cambridge University Press & Assessment as a Data Engineer and be part of a leading academic publisher affiliated with the University of Cambridge.
Last checked on August 12, 2026. We may earn a commission when you click through.
This position is ideal for candidates looking to make an impact in the education sector, though the lack of salary transparency may deter some applicants.
Data Engineer
Cambridge University Press
Updated 15 days agoYou'll be redirected to ph.talent.com
This position is ideal for candidates looking to make an impact in the education sector, though the lack of salary transparency may deter some applicants.
About this role
Join Cambridge University Press & Assessment as a Data Engineer and be part of a leading academic publisher affiliated with the University of Cambridge.
About the Company
Cambridge University Press & Assessment is a prestigious not-for-profit academic publisher associated with the University of Cambridge.
Key Highlights
- ✓ Opportunity to work with a global leader in education
- ✓ Full-time position with a focus on data engineering
- ✓ Innovative projects that drive academic excellence
💡 Honest Take: While the role sounds prestigious, working at a large institution may come with bureaucratic hurdles. Be prepared for a structured environment that could limit agility.
Pros
- ✓ Reputable organization with global recognition
- ✓ Chance to work on impactful projects
- ✓ Full-time employment stability
Cons
- ✗ Salary not disclosed, which may raise concerns
- ✗ Potential bureaucratic processes
- ✗ Limited remote work options
Best For: Data engineers with a passion for education and a desire to work in a structured corporate environment.
Watch Out: Salary details are not disclosed, which could lead to uncertainty during negotiations.
You'll be redirected to ph.talent.com
Expert Review
This role with Cambridge University Press & Assessment offers a to contribute to educational advancements. Located in Makati City, it's suitable for those who thrive in established organizations. The company's focus on data engineering means you'll be at the forefront of data-driven decisions.
However, applicants should be aware that the large organizational structure can sometimes lead to slower decision-making processes. Those who prefer a dynamic startup environment might find this setting less appealing. Salary details are not disclosed, which raises potential concerns about compensation expectations.
Given the company's prestige, you might expect but without clear figures, it’s challenging to gauge the full package. The role promises a stable position in a respected institution, but the bureaucratic nature may limit creativity. Ensure you research company culture and employee reviews to align your expectations before applying.
For more information, visit their official job listing here.
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