Senior Data Engineer at QS specializing in designing and building high‑quality data assets. Working in a hybrid model, effectively contributing to international higher education analytics.
About the role
- Senior Data Engineer designing and delivering scalable data pipelines at QS. Implementing data solutions to empower higher education analytics and insights.
Responsibilities
- Lead the design and creation of robust data models and structures that lay the foundation for reliable analytics and insights, enabling teams to make informed decisions and drive progress.
- Develop and maintain efficient data pipelines that integrate both real-time and streaming data, ensuring the business can respond quickly to evolving needs and opportunities.
- Launch and optimise data delivery solutions, providing secure, scalable access to information for colleagues and partners, and supporting innovation across the organization.
- Improve data quality and transparency by embedding rigorous validation and documentation throughout all workflows, building trust and clarity for every stakeholder.
- Support the enrichment of knowledge graphs by modeling relationships and resolving entities, enhancing data connectivity and unlocking deeper insights for teams and the wider mission.
- Apply business acumen to interpret complex data needs, ensuring every technical solution directly contributes measurable value to both the team and the organization’s goals.
- Partner with cross-functional teams to uphold data integrity, manage schemas, and ensure compliance with best practices, fostering a culture of collaboration and continuous learning.
- Mentor and guide team members, sharing expertise and encouraging skill development to support individual growth and collective achievement.
- Document processes and workflows thoroughly to promote transparency, consistency, and ongoing improvement, empowering others to build on your work.
- Take ownership of any additional responsibilities within the role’s purpose and scope, including tasks that may arise outside standard business hours, contributing to the team’s adaptability and success.
Requirements
- Proven ability to lead small teams and deliver results through professional, educational, or volunteer experience in technology or related fields
- Resourceful problem-solver who thrives in dynamic, evolving environments
- Effective communicator with strong interpersonal and leadership skills, fostering collaboration and inclusivity
- Demonstrates sound business judgment, balancing technical solutions with practical business needs
- Proficiency in SQL and Python, with hands-on experience in cloud data platforms (such as Snowflake or equivalent)
- Experience with orchestration tools (e.g., Glue, Airflow, dbt) supporting reliable data workflows
- Knowledge of streaming frameworks (such as Kafka, Snowpipe) and understanding of real-time data delivery
- Awareness of machine learning and artificial intelligence workflows, including feature stores and platforms like Sagemaker
- Understanding of data modeling concepts, including graph-based design
- Familiarity with REST/GraphQL APIs and approaches to optimize data delivery and performance
- 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
- 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
Job title
Job type
Experience level
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Degree requirement
Tech skills
Location requirements
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