Data Engineer - AI & EdTech

Summary:

Data Engineer - AI & EdTech role available at a leading independent school.

About the School:

A school with a long-standing tradition of academic excellence and innovation, committed to fostering a supportive and inclusive learning environment for students aged 3 to 18.

The Opportunity:

As a Data Engineer - AI & EdTech, you will be instrumental in advancing the school’s digital and AI capabilities. You will help develop robust data architectures and analytics solutions that drive meaningful insights for students, staff, and operational functions. This is an exciting opportunity to contribute to the evolution of EdTech within a forward-thinking institution.

Key Responsibilities:

• Develop and maintain scalable data architectures to support AI and analytics initiatives.
• Design and implement data pipelines to ensure efficient data processing and integration.
• Collaborate with cross-functional teams to deliver data-driven solutions that enhance student outcomes and operational efficiency.
• Analyze complex datasets to uncover actionable insights and support decision-making.
• Support the integration of AI technologies into existing systems and processes.
• Ensure data quality, security, and compliance with relevant standards and regulations.
• Stay up to date with emerging trends in AI, machine learning, and EdTech to drive continuous improvement.
• Provide technical guidance and mentorship to junior team members where appropriate.

Qualifications & Skills:

Required

• Proven experience as a Data Engineer, preferably in an educational or EdTech environment.
• Strong background in AI, machine learning, and data analytics.
• Proficiency in programming languages such as Python, SQL, and Java.
• Experience with data pipeline development and cloud-based data platforms.
• Excellent problem-solving and analytical skills.
• Ability to work collaboratively in a team-oriented environment.

Preferred

• Experience with predictive analytics or AI-driven solutions in education.
• Familiarity with EdTech platforms and learning management systems.
• Knowledge of data visualization tools such as Tableau or Power BI.
• Experience with agile methodologies and software development best practices.

Compensation & Benefits:

• Competitive salary and benefits package.
• Opportunities for professional development and continued learning.
• Flexible working arrangements, including hybrid options.