2027 - Internship, HR Technology

The role

Interns will join a team to work on real projects in either HR Data Analytics or HR Software Engineering. You will build scalable pipelines, automate workflows, or develop full-stack applications to support HR systems.

What you will do

• Build, deploy and maintain scalable, secure pipelines using AWS S3, ECS and Lambda
• Centralise Workday and Greenhouse data in warehouses for BI tools
• Build Python and Kotlin services to automate workflows
• Test, monitor and troubleshoot data flows for accuracy
• Partner with HR, analytics engineers and leadership to deliver actionable insights
• Develop interactive BI dashboards using tools such as Python Dash
• Document pipelines, models, transformations and data assets
• Build full-stack applications and integrations connecting core HR systems to the wider business
• Translate HR requirements into scalable, cloud-native tools
• Automate repetitive work to improve employee experience

Required qualifications

• Penultimate or final-year students completing a bachelor’s or master’s degree
• A degree in a numerate, scientific or computing discipline
• A solid grounding in Python for automation, data or applications
• Object-oriented design for Software Engineering
• Data modelling: metrics and semantic layers for BI in Data Analytics
• SQL and models for transactional applications and analytical reporting in Software Engineering
• Cloud familiarity, ideally AWS
• An analytical approach
• Clear communication
• Enthusiasm for collaborating with technical and non-technical colleagues
• Exposure to ETL concepts or tools through study, internships or personal projects
• Experience with Kotlin or another statically typed JVM language

Nice to have

• Exposure to Workday, Greenhouse, employee lifecycle data or HR metrics such as retention, engagement and performance
• Infrastructure as code, particularly Terraform
• Experience integrating AI, LLMs or agents, understanding their strengths and limitations
• Data Analytics: front-end or user-experience skills, including Python Dash or React
• Software Engineering: Git and CI/CD pipelines

Benefits

• Initiatives and programs to enable employees achieve a healthy work-life balance

Before you apply

• Selected candidates will complete a technical interview with the relevant team
• Shortlisted candidates will take part in interviews, either on-site or via Microsoft Teams

About the company

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager operating across liquid asset classes and markets worldwide.