Data Engineer

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