Data Engineer
Role details
Job location
Tech stack
Job description
We have an exciting new opportunity for a Data Engineer Consultant to join Robert Walters as a Consultant., As a Consultant, you will benefit from permanent employment with Robert Walters and will be deployed on an assignment within our client's organisation, Global Investment Banking. In return we will provide you with the opportunity to develop your skills with ongoing training and professional support. This role offers an exciting opportunity to join a global business, providing top-tier service to our blue-chip clients.
What you'll do:
- Design and deliver end-to-end cloud-based data pipelines using modern technologies and industry best practices.
- Apply domain-driven design to build scalable, maintainable, and testable business-critical software.
- Architect resilient systems with no single points of failure, ensuring high availability and zero-downtime releases.
- Develop secure, high-performance solutions with optimised data access and proactive performance monitoring.
- Ensure system reliability and operational excellence through robust observability, issue investigation, and permanent fixes.
- Own and support products throughout their full lifecycle, including production support, incident management, and continuous technology improvement.
Requirements
Do you have experience in REST?, * Strong proficiency in modern Python, including designing and implementing robust test strategies (unit, integration, end-to-end, performance).
- Solid experience with cloud platforms, distributed systems, and large-scale data processing optimisation.
- Hands-on expertise with data transformation frameworks, pipeline orchestration tools, and event-driven architectures including streaming and messaging.
- Excellent written and verbal communication skills in English, with the ability to manage stakeholders and prioritise across multiple work streams.
- Proven ability to coach and mentor team members on coding standards, design principles, and maintainable implementation patterns.
- Preferred experience working in highly regulated environments, with hands-on AWS expertise, strong data governance knowledge, and a solid understanding of incremental data processing, versioning, and RESTful APIs.
- Formal training or certification in data engineering, backed by recent hands-on professional experience as a data engineer.