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)
Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.
