Senior Software/Data Engineering Lead- Global Investment Bank | London, UK (Basé à London)

Jobleads
London
1 month ago
Applications closed

Related Jobs

View all jobs

Senior Python Developer

Managing Data Engineer

Principal Engineer

Global Head of Data Engineering

Senior Data Architect

Data Engineering Manager

Senior Software/Data Engineering Lead - Global Investment Bank

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, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

Contact
If you feel you are a good match, drop me an email or give me a call!
Henry Breeze

linkedin.com/in/henry-breeze

#J-18808-Ljbffr

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Top 10 Best UK Universities for Data Science Degrees (2025 Guide)

Discover ten of the strongest UK universities for Data Science degrees in 2025. Compare entry requirements, course content, research strength and industry links to choose the right programme for you. Data is the currency of the modern economy, and professionals who can wrangle, model and interpret vast datasets are in demand across every sector—from biotechnology and finance to sport and public policy. UK universities have been at the forefront of statistics, artificial intelligence and large-scale computing for decades, making the country a prime destination for aspiring data scientists. Below, we profile ten institutions whose undergraduate or postgraduate pathways excel in data science. Although league tables vary each year, these universities have a proven record of excellence in teaching, research and industry collaboration.

Veterans in Data Science: A Military‑to‑Civilian Pathway into Analytical Careers

Introduction The UK Government’s National AI Strategy projects that data‑driven innovation could add £630 billion to the economy by 2035. Employers across healthcare, defence, and fintech are scrambling for professionals who can turn raw data into actionable insights. In 2024 alone, job‑tracker Adzuna recorded a 42 % year‑on‑year rise in data‑science vacancies, with average advertised salaries surpassing £65k. For veterans, that talent drought is a golden opportunity. Whether you plotted artillery trajectories, decrypted enemy comms, or managed aircraft engine logs, you have already practised the fundamentals of hypothesis‑driven analysis and statistical rigour. This guide explains how to translate your military experience into civilian data‑science language, leverage Ministry of Defence (MoD) transition programmes, and land a rewarding role building predictive models that solve real‑world problems. Quick Win: Take a peek at our live Junior Data Scientist roles to see who’s hiring this week.

Quantum-Enhanced AI in Data Science: Embracing the Next Frontier

Data science has undergone a staggering transformation in the past decade, evolving from a niche academic discipline into a linchpin of modern industry. Across every sector—finance, healthcare, retail, manufacturing—data scientists have become indispensable, leveraging statistical methods and machine learning to turn raw information into actionable insights. Yet as datasets grow ever larger and machine learning models become more computationally expensive, there are genuine questions about how far current methods can be pushed. Enter quantum computing, a nascent but promising technology grounded in the counterintuitive principles of quantum mechanics. Often dismissed just a few years ago as purely experimental, quantum computing is quickly gaining traction as prototypes evolve into cloud-accessible machines. When paired with artificial intelligence—particularly in the realm of data science—the results could be game-changing. From faster model training and complex optimisation to entirely new forms of data analysis, quantum-enhanced AI stands poised to disrupt established practices and create new opportunities. In this article, we will: Explore how data science has reached its current limits in certain areas, and why classical hardware might no longer suffice. Provide an accessible overview of quantum computing concepts and how they differ from classical systems. Examine the potential of quantum-enhanced AI to solve key data science challenges, from data wrangling to advanced machine learning. Highlight real-world applications, emerging job roles, and the skills you need to thrive in this new landscape. Offer actionable steps for data professionals eager to stay ahead of the curve in a rapidly evolving field. Whether you’re a practising data scientist, a student weighing up your future specialisations, or an executive curious about the next technological leap, read on. The quantum era may be closer than you think, and it promises to radically transform the very fabric of data science.