Join QS as a Senior Data Engineer and contribute to shaping the future of data engineering in higher education. This role involves designing, building, and maintaining high-quality data assets, working closely with the Data Acquisition Lead to ensure data lineage and quality checks, and collaborating with the wider Data Engineering team to ensure alignment with platform standards. Key skills and experience include significant hands-on experience with dbt transformation pipelines, proven capability in developing data assets, strong proficiency in SQL and Python, and experience working with cloud data platforms.
Requirements
- Significant hands-on experience designing, building, and maintaining dbt transformation pipelines
- Proven capability in developing data assets that integrate heterogeneous sources
- Strong proficiency in SQL and Python, particularly for data shaping, ingestion orchestration, and quality automation
- Practical experience working with cloud data platforms such as Snowflake, BigQuery, or equivalent
- Deep understanding of data lineage, metadata management, governance, and reproducible modelling practices
- Experience with data profiling, anomaly detection, schema validation, and quality assurance frameworks
- Strong collaborative skills, especially in cross-functional environments involving acquisition, sourcing, and analytics teams
- Experience with data scraping pipelines or public-data ecosystems
- Familiarity with modelling datasets used for rankings, research, or analytical subscription products
- Experience in higher education technology is appreciated but not required
Benefits
- 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
- Free subscription to the Calm App â the #1 app for sleep, meditation, and relaxation
- Access to a variety of diversity and inclusion initiatives and groups
- Strong recognition and reward programs â 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 â with over 5000 courses and programmes at your fingertips
- Options to join our outstanding global Mentorship programme
