Summary

This is one of the world’s most renowned financial institutions, going through an exciting period of growth in their London office.

In this role, you will join a highly creative, innovative and passionate team of engineers combining the power of Data Science, AI, ML optimization algorithms and automation to enhance human intelligence and solve business problems at scale. A hands-on, highly critical role, you’ll take on a varied project portfolio: from leading efforts to architect and implement robust and modern cloud-based software solutions to building scalable frameworks to address common data challenges to mentoring junior engineers on the team.

The successful Senior Software/Data Engineering Lead will be an excellent creative problem solver, a data enthusiast and passionate about the potential of applied data analytics and intelligence to solve real-world problems.

Skills and Experience Required

Practical experience of architecting and delivering cloud-based software engineering frameworks Experience with AWS services in relation to data analytics & AI/ML technologies Deep-level knowledge of cloud-native data technologies, modern data engineering practices, frameworks, etc. Excellent full-stack development skills in Python (or similar programming language) Strong SDLC mindset, plus API and microservice development Bachelor’s degree (or higher) in Computer Science or Engineering (or related)

Desirable Experience

Interest in data science, AI and ML disciplines Cloud technologies including Kubernetes Data mesh framework and implementation

Benefits

Significant salaries + bonuses + benefits Use the latest tools, languages and frameworks Excellent career growth and professional development is encouraged Flexible working and working from home opportunities (2-4 days WFH a week, role dependent)