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JPMorgan Chase & Co.

Software Engineer III - Backend / Data Engineer - Java, Python, Databricks

London
Posted about 13 hours ago
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We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

As a Software Engineer III (Java/Python Developer) at JPMorgan Chase within the Commercial and Investment Banking Emerging Markets Team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As an emerging member of a software engineering team, you execute software solutions through the design, development, and technical troubleshooting of multiple components within a technical product, application, or system, while gaining the skills and experience needed to grow within your role.

Job responsibilities

  • Partners with product and design teams to build functionality that meets core business outcomes.
  • Executes creative software solutions, design, development, and technical troubleshooting with the ability to think beyond routine or conventional approaches to build solutions or break down technical problems.
  • Develops secure high-quality production code, and reviews and debugs code written by others.
  • Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems.
  • Apply agile methodologies and use collaborative tools for effective teamwork and knowledge sharing.
  • Implement and maintain unit and integration tests to ensure reliability and performance.
  • Participate in code reviews to improve quality and share knowledge.
  • Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies.
  • Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness.
  • Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
  • Adds to team culture of diversity, opportunity, inclusion, and respect.

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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It searches the market for you

Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.

Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Strong

Only hits

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Required qualifications, capabilities, and skills

  • Formal training or certification on software engineering concepts and applied experience in Core Java, J2EE, and Spring Boot with strong coding skills.
  • Good working knowledge of AWS, Databricks and Python.
  • Experience across the data lifecycle.
  • Strong proficiency using Spring framework and understanding of inversion of control and dependency injection.
  • Hands-on experience designing and implementing event-driven architectures with different message brokers, including Kafka.
  • Experience creating RESTful microservices and handling asynchronous data.
  • Experience integrating with both SQL Databases (Oracle) and No-SQL Databases (DynamoDB, MongoDB).
  • Advanced at SQL, including joins and aggregations.
  • Significant experience with statistical data analysis and ability to determine appropriate tools and data patterns for analysis.
  • Experience with Maven/Gradle.
  • Experience using version control with GitHub/Bitbucket.
  • Experience with modern testing tools (JUnit, Mockito, Spring Test Framework, Cucumber).
  • Hands-on practical experience delivering application development, testing, and operational stability.
  • Understanding of agile methodologies such as CI/CD, Application Resiliency, and Security.
  • Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness.
  • Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.

Preferred qualifications, capabilities, and skills

  • Develop workflows and ELT pipelines using Python and Databricks.
  • Familiarity with the Standardised data layer practices (Medallion architecture).
  • Familiarity with modern backend technologies including Java 21+.
  • Familiarity with Domain Driven Design as an approach to begin implementing system designs.
  • Proficiency with AI code assistants for rapid prototyping and end delivery of Backend functionality.
  • Experience with deploying Backend services to cloud providers (e.g. AWS, Google Cloud, Azure).
  • Skills in designing efficient data models including normalization, denormalization, and schema design and an understanding around relational and star schemas.

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J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

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Location

Canary Wharf Estate, London E14 4QJ, UK

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