Data Engineer: AI Pipelines & Cloud Platforms

Cambridge University Press & Assessment; Hartford; Hybrid; GBP 65,000 - 90,000; Full time

Benefits offered by this job

Discretionary annual bonus

28 days annual leave plus bank holiday

Group personal pension scheme

Job summary

Cambridge University Press & Assessment is seeking a Data Engineer within the Applied AI team to design, build and maintain data platforms powering AI-driven assessment solutions. You will collaborate with data engineers, ML engineers, validation specialists, and stakeholders to ensure reliable, high-quality data for AI and analytics capabilities.

The role involves developing scalable data solutions, optimizing ingestion/transformation, and implementing data quality, governance, and monitoring

Qualifications

• Design, build and maintain scalable data pipelines and platforms.
• Proficient in Python and SQL with ETL/ELT frameworks.
• Experience with relational and NoSQL databases and Git.
• Degree in computing engineering or CS; strong English.

Responsibilities

• Collaborate with AI, analytics, and operations teams to deliver data solutions.
• Ensure data quality, governance and security compliance.
• Support Agile delivery and incident response.
• Produce technical documentation.

Skills

Python

SQL

ETL/ELT frameworks

Data pipelines

Cloud platforms

Education

Degree in Computing Engineering or Computer Science

Tools

Apache Spark

Airflow

Git

Job description

Cambridge University Press & Assessment is seeking a Data Engineer within the Applied AI team to design, build and maintain data platforms powering AI-driven assessment solutions. You will collaborate with data engineers, ML engineers, validation specialists, and stakeholders to ensure reliable, high-quality data for AI and analytics capabilities.

The role involves developing scalable data solutions, optimizing ingestion/transformation, and implementing data quality, governance, and monitoring