About the role

Data Engineer designing and maintaining data pipelines and APIs for QS's analytics platforms. Collaborating closely with data science teams to enable data-driven decision-making.

Responsibilities

Design and maintain data pipelines, including integrating real-time and streaming data to support dynamic business needs.
Build and optimize data transformations, ensuring that data quality and lineage are consistently embedded throughout all processes.
Contribute to the design and development of core data models and structures for our data lakehouses and marts, implementing and adhering to architectural best practices.
Develop and maintain APIs and delivery mechanisms to serve both internal and external consumers, ensuring reliable and scalable data access.
Support knowledge graph enrichment by modeling relationships, performing entity resolution, and integrating vector search to enhance data connectivity and insights.
Apply business acumen to effectively interpret data requirements, ensuring that technical solutions align with the underlying business purpose and add measurable value.
Implement data quality tests, data contracts, and schema management to maintain high standards of data integrity and consistency.
Document pipelines and workflows, contributing to comprehensive metadata and lineage documentation for transparency and ongoing improvement.
Any other duties that fall within the purpose and scope of the role, including tasks that may arise outside of standard business hours.

Demonstrated ability to solve complex problems with curiosity and resourcefulness.
Effective communication skills, with the capacity to clearly explain technical concepts to colleagues and stakeholders of varied backgrounds.
Sound judgment in balancing technical design decisions with real business needs.
Adaptability and a collaborative mindset, thriving in fast-paced and evolving environments.
Entrepreneurial spirit and initiative, with a track record of driving innovation and delivering results.
Proven proficiency in SQL and Python, and experience working with cloud data platforms such as Snowflake or equivalent.
Hands-on experience with orchestration tools (e.g., Glue, Airflow, dbt) or similar technologies enabling scalable and reliable data delivery.
Ability to model and manage core data structures for data lakehouses, marts, and graph-based designs.
Experience with APIs (REST, GraphQL) and event-driven design patterns is appreciated.
Exposure to streaming frameworks and machine learning / artificial intelligence workflows is valued.
We value candidates who have enriched knowledge graphs, performed entity resolution, or contributed to advanced data connectivity and insights.
Bachelor’s degree or equivalent professional experience is welcomed; we encourage candidates from diverse backgrounds and non-traditional pathways to apply.

Competitive base salary
Access to an annual bonus scheme (for qualifying roles only)
20 days annual leave, plus public holidays
Generous maternity and paternity leave
Access to an Employee Assistance Programme (EAP) and MiCare health
A vibrant social environment and multicultural and multinational culture
Free subscription to the Calm App – the #1 app for sleep, meditation, and relaxation
A focus on welfare which is led by our global wellness team, with mental health first aiders globally
Access to a variety of diversity and inclusion initiatives and groups
Strong recognition and reward programs – including a peer-to-peer recognition platform, quarterly and annual QS Applaud Awards, Connect with your Career annual PD event
Support for volunteering and study leave
Free subscription to LinkedIn learning – with over 5000 courses and programmes at your fingertips
Options to join our outstanding global Mentorship programme
Brand new breakout and relaxing spaces in office