Software Engineer III – Data Engineering- Corporate Know Your Customer

Software Engineer III – Data Engineering- Corporate Know Your Customer

Full-Time 63000 - 77000 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Develop secure, high-quality code for data-intensive applications and mentor fellow engineers.
  • Company: Join JPMorgan Chase's innovative Corporate Sector team shaping financial technology.
  • Benefits: Competitive salary, health benefits, remote work options, and opportunities for professional growth.
  • Other info: Dynamic environment focused on innovation, inclusion, and continuous improvement.
  • Why this job: Make a meaningful impact on millions while working with cutting-edge technologies.
  • Qualifications: Experience in Python/PySpark and large-scale data processing required.

The predicted salary is between 63000 - 77000 £ per year.

Join us to shape the future of financial technology and make a meaningful impact on millions of customers worldwide.

As a Software Engineer at JPMorgan Chase in the Corporate Sector’s agile data engineering team, you will promote the development of a trusted Global Know Your Customer (KYC) and Risk Assessment Data Platform.

You will work across multiple teams, define architecture and engineering standards, and deliver high-impact software that scales.

You’ll collaborate with colleagues to implement secure, stable, and scalable solutions, and help shape the team’s culture and technical direction.

Your expertise will support the firm’s portfolios and contribute to our ongoing success.

  • Job responsibilities
  • Develop secure, high-quality production code for data-intensive applications and platforms
  • Review code and mentor engineers to foster growth and excellence
  • Create durable, reusable software frameworks and patterns for use across teams
  • Drive adoption of advanced technical methods and industry-standard practices
  • Advise cross-functional teams on technological matters within your domain
  • Apply knowledge of tools within the Software Development Life Cycle, including AI-assisted development and automation
  • Enhance automation at scale to improve value and efficiency
  • Lead architectural decisions and engineering practices across multiple teams
  • Collaborate with stakeholders to deliver impactful solutions
  • Champion best practices in software development and data engineering
  • Support a culture of innovation, inclusion, and continuous improvement
  • Required qualifications, capabilities, and skills
  • Hands-on experience delivering system design, application development, testing, and operational stability at enterprise scale
  • Expertise in Python and/or Py Spark
  • Knowledge of software application development and technical processes, with depth in disciplines such as cloud, AI/ML, or data engineering
  • Experience in large-scale data processing, microservices, API design, Kafka, Redis, Mem Cached, observability tools (Dynatrace, Splunk, Grafana), and orchestration frameworks (Airflow, Temporal)
  • Advanced working knowledge of relational and No SQL databases, vector stores, data lake architectures, and data governance
  • Practical cloud-native experience (AWS, Azure, or GCP)
  • Ability to present and communicate effectively with senior leaders and executives
  • Commitment to inclusive, collaborative teamwork
  • Good problem-solving and analytical skills
  • Adaptability in a fast-paced environment
  • Focus on delivering secure and scalable solutions
  • Preferred qualifications, capabilities, and skills
  • Experience with modern data platforms such as Databricks or Snowflake
  • Deep hands-on experience with Spark/Py Spark and other big data processing technologies
  • Expertise in open-source table formats and catalog services such as Apache Iceberg
  • Experience with LLM orchestration frameworks and model serving infrastructure or managed endpoints (AWS Bedrock, Azure Open AI)
  • Familiarity with emerging technologies in data engineering
  • Ability to drive innovation and continuous improvement
  • Passion for mentoring and developing others
  • #J-18808-Ljbffr

Software Engineer III – Data Engineering- Corporate Know Your Customer employer: JPMorgan Chase & Co.

JPMorgan Chase & Co. is an exceptional employer, offering a dynamic work environment in the heart of London’s International Private Bank. With a strong emphasis on professional development, employees benefit from comprehensive training programs and opportunities for career advancement, all while enjoying a collaborative culture that values teamwork and innovation. The role of Executive Assistant not only provides a chance to work closely with senior leaders but also allows for meaningful contributions to the success of the team in a prestigious financial institution.

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Contact Details:

JPMorgan Chase & Co. Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Software Engineer III – Data Engineering- Corporate Know Your Customer

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 JPMorgan Chase & Co. 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 JPMorgan Chase & Co..

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 JPMorgan Chase & Co..

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 JPMorgan Chase & Co. 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 Software Engineer III – Data Engineering- Corporate Know Your Customer

Python
PySpark
Data Engineering
Cloud Computing (AWS, Azure, GCP)
Microservices
API Design
Kafka

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 JPMorgan Chase & Co..

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at JPMorgan Chase & Co. 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 JPMorgan Chase & Co.

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 JPMorgan Chase & Co. 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.