Senior Data Engineer supporting AI - enabled financial compliance initiative with data pipelines and ingestion processes. Collaborating with diverse teams in a mission - critical regulated environment.
About the role
- Data Engineer designing and maintaining data pipelines and APIs for QS's analytics platforms. Collaborating closely with data science teams to enable data-driven decision-making.
Responsibilities
- Design and maintain data pipelines, including integrating real-time and streaming data to support dynamic business needs.
- Build and optimize data transformations, ensuring that data quality and lineage are consistently embedded throughout all processes.
- Contribute to the design and development of core data models and structures for our data lakehouses and marts, implementing and adhering to architectural best practices.
- Develop and maintain APIs and delivery mechanisms to serve both internal and external consumers, ensuring reliable and scalable data access.
- Support knowledge graph enrichment by modeling relationships, performing entity resolution, and integrating vector search to enhance data connectivity and insights.
- Apply business acumen to effectively interpret data requirements, ensuring that technical solutions align with the underlying business purpose and add measurable value.
- Implement data quality tests, data contracts, and schema management to maintain high standards of data integrity and consistency.
- Document pipelines and workflows, contributing to comprehensive metadata and lineage documentation for transparency and ongoing improvement.
- Any other duties that fall within the purpose and scope of the role, including tasks that may arise outside of standard business hours.
Requirements
- Demonstrated ability to solve complex problems with curiosity and resourcefulness.
- Effective communication skills, with the capacity to clearly explain technical concepts to colleagues and stakeholders of varied backgrounds.
- Sound judgment in balancing technical design decisions with real business needs.
- Adaptability and a collaborative mindset, thriving in fast-paced and evolving environments.
- Entrepreneurial spirit and initiative, with a track record of driving innovation and delivering results.
- Proven proficiency in SQL and Python, and experience working with cloud data platforms such as Snowflake or equivalent.
- Hands-on experience with orchestration tools (e.g., Glue, Airflow, dbt) or similar technologies enabling scalable and reliable data delivery.
- Ability to model and manage core data structures for data lakehouses, marts, and graph-based designs.
- Experience with APIs (REST, GraphQL) and event-driven design patterns is appreciated.
- Exposure to streaming frameworks and machine learning / artificial intelligence workflows is valued.
- We value candidates who have enriched knowledge graphs, performed entity resolution, or contributed to advanced data connectivity and insights.
- Bachelor’s degree or equivalent professional experience is welcomed; we encourage candidates from diverse backgrounds and non-traditional pathways to apply.
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 Architect leading the definition and construction of cloud data architecture for Kyndryl. Participating in significant technological modernization initiatives, focusing on Google Cloud Platform.
Senior Data Engineer driving data intelligence requirements and scalable data solutions for a global consulting firm. Collaborating across functions to enhance Microsoft architecture and analytics capabilities.
Experienced AI Engineer designing and building production - grade agentic AI systems using generative AI and large language models. Collaborating with data engineers, data scientists in a tech - driven company.
Intermediate Data Engineer designing and building data pipelines for travel industry data management. Collaborating across teams to ensure reliable data for analytics and reporting.
Data Engineer managing and organizing datasets for AI models at Walaris, developing AI - driven autonomous systems for defense and security applications.
Data Engineer designing and maintaining data pipelines at Black Semiconductor. Collaborating with process, equipment, and IT teams to support manufacturing analytics and decision - making.
Junior Data Engineer role focusing on Business Intelligence and Big Data at Avanade. Collaborating on data analysis and SQL queries in a supportive learning environment.
GCP Data Engineer designing and developing data processing modules for Ki, an algorithmic insurance carrier. Working closely with multiple teams to optimize data pipelines and reporting.
Data Engineer at Securian Financial optimizing scalable data pipelines for AI and advanced analytics. Collaborating with teams to deliver secure and accessible data solutions.