As a Data Engineer, this role focuses on building and maintaining data pipelines that power QS's analytics and AI platforms, with responsibilities including developing and maintaining ETL/ELT pipelines, supporting integration of external datasets, and monitoring pipeline performance.
Requirements
- Experience in data engineering or related roles.
- Proficiency in SQL and Python for data processing.
- Experience with cloud platforms (AWS preferred) and data warehousing (e.g., Snowflake).
- Familiarity with orchestration tools (Airflow, dbt) and version control (Git).
- Understanding of data modeling and pipeline optimization.
- Exposure to APIs and web scraping techniques is a plus.
- Strong problem-solving skills and ability to work collaboratively in a team environment.
- Bachelor's/Master's degree in Computer Science, Information Systems, or related field.
Benefits
- Competitive base salary
- Access to an annual bonus scheme
- 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
- Access to a variety of diversity and inclusion initiatives and groups
- Strong recognition and reward programs
- Support for volunteering and study leave
- Free subscription to LinkedIn learning
- Options to join our outstanding global Mentorship programme
- Brand new breakout and relaxing spaces in office