Data Engineer

Data Engineer — Higher Education Consortium (Top 20 UK Universities)

Location:

London (Hybrid — 3 days onsite)

Candidates must have SaaS or worked in a scale up, product company.

Type:
Full-time, Permanent

We are partnering with a a leading client to hire a Data Engineer to help modernise data platforms.

This role is ideal for someone who enjoys building scalable cloud data solutions using Python, AWS, and SQL in a collaborative academic environment.

• Build and maintain scalable ETL/ELT pipelines
• Design cloud-based data solutions on AWS
• Develop and optimise SQL-based data models and warehouses
• Work with analysts, researchers, and engineering teams
• Improve data quality, governance, and automation
• Support real-time and batch data processing workflows
• Contribute to architecture and platform decisions

• Advanced SQL skills
• Commercial experience with AWS services:
• S3
• Lambda
• Glue
• Redshift
• RDS
• Experience building data pipelines and orchestration workflows
• Understanding of data warehousing and modelling concepts
• Familiarity with Git and CI/CD practices

• Airflow or Prefect
• Terraform or Infrastructure as Code
• Spark or Databricks
• Experience in higher education, research, or public sector environments

• Hybrid model: 3 days per week in London office
• Strong pension and academic-sector benefits
• Generous annual leave entitlement

This is a strong opportunity for engineers looking for meaningful, long-term projects with excellent work-life balance and modern cloud engineering practices.