Summary

Ready to make your application Please do read through the description at least once before clicking on Apply. This is one of the worlds most renowned financial institutions, experiencing 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 Data Science, AI, ML, optimization algorithms, and automation to enhance human intelligence and solve business problems at scale. You will take on a varied project portfolio, including architecting and implementing robust, modern cloud-based software solutions, building scalable frameworks for common data challenges, and mentoring junior engineers. The successful Senior Software/Data Engineering Lead will be an excellent creative problem solver, a data enthusiast, and passionate about applying data analytics and intelligence to solve real-world problems. Skills and Experience Required Practical experience in architecting and delivering cloud-based software engineering frameworks Experience with AWS services related to data analytics, AI, and ML technologies Deep knowledge of cloud-native data technologies and modern data engineering practices Excellent full-stack development skills in Python or similar languages Strong SDLC mindset, API, and microservice development experience Bachelors degree or higher in Computer Science, Engineering, or related fields Interest in data science, AI, and ML disciplines Experience with data mesh frameworks and implementation Familiarity with the latest tools, languages, and frameworks Opportunities for career growth and professional development Flexible working arrangements, including WFH 2-4 days a week depending on role

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