Data Engineer Intern gaining hands - on experience in TD's big data platform. Collaborating on software development and system enhancements while learning about analytical tools and technologies.
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
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Data Engineer II providing data engineering functions within the Azure cloud environment at TD. Collaborating with stakeholders for efficient and reliable data solutions.
Building and operating data services and pipelines for a healthcare AI platform. Developing systems for large - scale healthcare data to ensure high performance and compliance.
Data Engineer constructing and managing data warehouses for travel technology solutions at Onfly. Collaborating across teams to optimize data processing and integration solutions in a hybrid environment.
Data Engineer developing and maintaining efficient data pipelines for strategic client projects. Collaborating with teams to deliver valuable data insights and ensuring data quality and governance.
Data Engineer building and maintaining ETL pipelines for Northstrat's agile development team. Collaborating in a fast - paced environment with a focus on high - quality solutions.
Data Engineering Lead at BlackStone eIT managing a team and driving data solutions aligned with strategic goals. Collaborating with departments to ensure effective data management.
Data engineer designing custom data architectures at Zenika. Developing and maintaining data transformation pipelines, optimizing performance, and collaborating with cross - functional teams.
Senior Data Engineer responsible for AspenTech IP.21 implementation, leading a team for industrial data solutions.
Senior Data Engineer responsible for implementing and optimizing industrial data infrastructure at AG Solution. Leading a team and collaborating with various stakeholders to ensure data quality and reporting.