Lead AI & Data Engineer — Java, AWS, Agentic AI in Glasgow

Lead AI & Data Engineer — Java, AWS, Agentic AI in Glasgow

Glasgow Full-Time 70000 - 90000 £ / year (est.) No working from home possible
JPMorganChase

At a Glance

  • Tasks: Design and deliver advanced AI and data engineering solutions for stability and security.
  • Company: Join JPMorganChase, a leader in the financial services industry.
  • Benefits: Competitive salary, health benefits, and opportunities for professional growth.
  • Other info: Collaborative environment with a focus on reliability and career advancement.
  • Why this job: Drive innovation with cutting-edge AI technologies and make a real impact.
  • Qualifications: Expertise in AI, Java, AWS, and strong data engineering skills required.

The predicted salary is between 70000 - 90000 £ per year.

JPMorganChase is seeking a Lead Software Engineer to join their Commercial & Investment Bank team in Glasgow, Scotland. This role involves designing and delivering advanced AI and data engineering solutions with a focus on stability and security.

You will collaborate with cross-functional teams to drive innovation and ensure systems remain reliable and cutting-edge. The ideal candidate will have deep expertise in AI, Java, and AWS, coupled with a strong understanding of data engineering practices.

This position is critical for developing autonomous systems and integrating AI technologies to meet business objectives.

Lead AI & Data Engineer — Java, AWS, Agentic AI in Glasgow employer: JPMorganChase

JPMorganChase is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of Glasgow. Employees benefit from comprehensive growth opportunities, competitive compensation, and a commitment to diversity and inclusion, making it an ideal place for those looking to advance their careers in cutting-edge technology and finance.

JPMorganChase

Contact Details:

JPMorganChase Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Lead AI & Data Engineer — Java, AWS, Agentic AI in Glasgow

Join Local Tech Meetups

Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at JPMorganChase or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!

Contribute to Open Source Projects

Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to JPMorganChase.

Tap into Online Developer Communities

Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like JPMorganChase.

Explore Job Boards Specifically for Tech Roles

Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like JPMorganChase that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!

We think you need these skills to ace Lead AI & Data Engineer — Java, AWS, Agentic AI in Glasgow

AI Expertise
Java
AWS
Data Engineering Practices
System Design
Collaboration
Innovation

Some tips for your application 🫡

Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.

Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at JPMorganChase.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at JPMorganChase and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!

Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!

How to prepare for a job interview at JPMorganChase

Brush Up on Your Coding Skills

For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.

Know Your Tools and Frameworks

Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If JPMorganChase uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.

Showcase Your Projects

Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.

Prepare for Behavioural Questions

While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.