Your new company

Your new role

• Design scalable AWS‑native and AI‑enabled architectures.
• Build and enhance research platforms (Jupyter, SageMaker, Bedrock).
• Create secure, efficient data access patterns for large financial datasets.
• Integrate search and discovery tools (e.g., OpenSearch).
• Lead architectural decisions, documentation, and platform modernisation.
• Advise senior stakeholders and mentor engineering teams.

What you'll need to succeed

• Deep expertise in AWS and large‑scale, cloud‑native system design.
• Strong background building data science platforms or research environments (Jupyter, SageMaker, etc.).
• Solid data modelling and data architecture capability.
• Understanding of data engineering, pipelines, governance, and connectivity.
• Experience architecting AI/ML solutions, including exposure to Amazon Bedrock or similar.
• Knowledge of modern engineering platforms including CI/CD and infrastructure‑as‑code.
• Experience building or exposing APIs/services for programmatic data access.
• Experience working in regulated, security‑focused environments.
• Exposure to financial markets, financial data, or research environments.
• Strong leadership presence with the ability to influence senior technical stakeholders.

What you'll get in return

An exciting opportunity to join an international organisation working with a major financial services organisation. Furthermore, a competitive day rate for this role will be offered in addition to your own dedicated Hays Consultant to guide you through every step of the application process.

What you need to do now

If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.

If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career.