At a Glance
- Tasks: Develop secure, high-quality production code for data-intensive applications and mentor fellow engineers.
- Company: Join JPMorgan Chase, a global leader in financial services with a focus on innovation.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Collaborative environment with a commitment to diversity and continuous improvement.
- Why this job: Make an impact by building a trusted KYC and Risk Assessment Data Platform.
- Qualifications: Experience in Python/PySpark, cloud technologies, and strong problem-solving skills.
The predicted salary is between 62000 - 102000 £ per year.
Requirements
- We have hands-on experience delivering system design, application development, testing, and operational stability at enterprise scale.
- We have expertise in Python and/or Py Spark.
- We have knowledge of software application development and technical processes, with depth in disciplines such as cloud, AI/ML, or data engineering.
- We have experience in large-scale data processing, microservices, API design, Kafka, Redis, Mem Cached, observability tools (Dynatrace, Splunk, Grafana), and orchestration frameworks (Airflow, Temporal).
- We have advanced working knowledge of relational and No SQL databases, vector stores, data lake architectures, and data governance.
- We have practical cloud-native experience (AWS, Azure, or GCP).
- We can present and communicate effectively with senior leaders and executives.
- We are committed to inclusive, collaborative teamwork.
- We have good problem-solving and analytical skills.
- We are adaptable in a fast-paced environment.
- We focus on delivering secure and scalable solutions.
- Preferred: we have experience with modern data platforms such as Databricks or Snowflake.
- Preferred: we have deep hands-on experience with Spark/Py Spark and other big data processing technologies.
- Preferred: we have expertise in open-source table formats and catalog services such as Apache Iceberg.
- Preferred: we have experience with LLM orchestration frameworks and model serving infrastructure or managed endpoints (AWS Bedrock, Azure Open AI).
- Preferred: we are familiar with emerging technologies in data engineering.
- Preferred: we can drive innovation and continuous improvement.
- Preferred: we have a passion for mentoring and developing others.
Responsibilities
- We develop secure, high-quality production code for data-intensive applications and platforms.
- We review code and mentor engineers to foster growth and excellence.
- We create durable, reusable software frameworks and patterns for use across teams.
- We drive adoption of advanced technical methods and industry-standard practices.
- We advise cross-functional teams on technological matters within our domain.
- We apply knowledge of tools within the Software Development Life Cycle, including AI-assisted development and automation.
- We enhance automation at scale to improve value and efficiency.
- We lead architectural decisions and engineering practices across multiple teams.
- We collaborate with stakeholders to deliver impactful solutions.
- We champion best practices in software development and data engineering.
- We support a culture of innovation, inclusion, and continuous improvement.
Technologies
- AI
- Airflow
- API
- AWS
- Azure
- Big Data
- Cloud
- Databricks
- Dynatrace
- GCP
- Grafana
- Support
- Kafka
- LLM
- Marketing
- Model Serving
- No SQL
- Python
- Py Spark
- Redis
- Snowflake
- Spark
- Splunk
- microservices
More
We are JPMorgan Chase, a global leader in financial services, providing strategic advice and products to prominent corporations, governments, wealthy individuals, and institutional investors.
In our Corporate Sectors agile data engineering team, we are building a trusted Global Know Your Customer (KYC) and Risk Assessment Data Platform.
We work across multiple teams to define architecture and engineering standards and deliver high-impact software that scales.
We offer a collaborative, inclusive environment where our people are our strength, and we value diversity, reasonable accommodations, and continuous improvement.
Our Corporate Functions span finance, risk, human resources, marketing, and other essential areas that help set our businesses, clients, customers, and employees up for success.
- last updated 36 week of 2026
- #J-18808-Ljbffr
Software Engineer III – Data Engineering KYC in Glasgow employer: JP Morgan Chase
Morgan is an exceptional employer, offering a dynamic work culture that prioritises diversity and inclusion while fostering employee growth through comprehensive coaching and development opportunities. As a global leader in financial services, we empower our teams to drive impactful product management and AI enablement, ensuring that every employee can contribute meaningfully to our clients' success in a collaborative environment located at the heart of the financial sector.
StudySmarter Expert Advice🤫
We think this is how you could land Software Engineer III – Data Engineering KYC 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 JP Morgan Chase 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 JP Morgan Chase.
✨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 JP Morgan Chase.
✨Explore Job Boards Specifically for Tech Roles
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We think you need these skills to ace Software Engineer III – Data Engineering KYC in Glasgow
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 JP Morgan Chase.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at JP Morgan Chase 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 JP Morgan Chase
✨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 JP Morgan Chase 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.
