Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped QRT's collaborative mindset which enables us to solve the most complex challenges. QRT's culture of innovation continuously drives our ambition to deliver high quality returns for our investors.

Your future role within QRT:

As an Analytics Engineer in the HR Technology team, you will play a critical role in building and maintaining data infrastructure to support HR insights and analytics. You will focus on transforming raw data into structured formats, ensuring data is clean, accessible, and ready for use - bridging the gap between technical and business teams. You will collaborate with multiple business areas to deliver high quality data-driven analytics that empower managers, business partners and senior leaders in their roles.

• Build and maintain scalable, secure data pipelines across platforms using AWS tools like S3, RDS and Redshift.
• Ensure accuracy through regular testing, monitoring, and troubleshooting to enable smooth data flow.
• Centralise data from sources like Workday and Greenhouse into warehouses for BI tools
• Use Python and other tools to automate and optimise data workflows for seamless operations.
• Partner with HR, analytics engineers, and leadership to deliver actionable insights, ensuring alignment between technical capabilities and business requirements.
• Support interactive BI dashboards (e.g. Python Dash, PowerBI, Tableau etc) that empower data-driven decisions.
• Create documentation and set documentation standards for data assets & products: ETL documentation, metric glossary.
• Uphold data security and compliance with best practices for access control.
• Document data pipelines, models, and transformations to support transparency, reproducibility, and scalability.

• 3-5 years of relevant experience developing data-driven applications, ideally related to Talent/HR Analytics.
• Strong proficiency in Python for building data pipelines, writing automation scripts and handling large datasets.
• Experience with cloud platforms, especially AWS (S3, RDS, Redshift) for building data storage and processing solutions.
• Experience using ETL tools to build and automate scalable data workflows.
• Strong understanding of data modelling concepts, metrics and semantic layers and their application in BI environments.
• Experience working with HR data and platforms like Workday, as well as an understanding of HR metrics and KPIs (e.g., retention, engagement, performance) is a plus!
• Some front-end skills in JavaScript, HTML, CSS, with experience using libraries like React, Bootstrap, or similar