JPMorgan Chase & Co.

Software Engineer II – Python / Databricks

JPMorgan Chase & Co. Glasgow, Scotland, United Kingdom

Financial Services · 10,001+ employees

Yesterday
python Mid (2-5 yrs) Full-time United Kingdom
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About the role

The Software Engineer II will design and deliver secure, scalable data collection, storage, and analytics solutions using Python and Databricks. They are responsible for maintaining data pipelines, implementing security controls, and updating data models to support business objectives.

What they look for

Python Databricks SQL NoSQL Data Pipelines Cloud Services Data Modeling Software Development Lifecycle Data Security Generative AI Large Language Models Medallion Architecture Unit Testing Performance Testing Continuous Integration Continuous Delivery

Requirements

Candidates must have formal training in software engineering and significant experience with cloud-based data services and the data lifecycle. Advanced proficiency in SQL and experience with Python, NoSQL databases, and software development lifecycle tools are required.

Full description

Are you ready to shape the future of data engineering at JPMorganChase? Join a dynamic team where your unique skills will help build innovative solutions and contribute to a winning culture. You'll have opportunities for career growth, collaborate with talented professionals, and make a real impact on our business objectives. Your expertise will empower our teams and drive success across the firm.

As a Software Engineer II at JPMorganChase within Investment Banking Data Products, you will design and deliver reliable data collection, storage, access, and analytics solutions that are secure, stable, and scalable. You will develop, test, and maintain essential data pipelines and architectures, supporting various business functions to achieve the firm's goals. Working alongside talented engineers, you will use your skills to drive innovation and help shape our team culture — one built on excellence, collaboration, and continuous improvement.

Job responsibilities

  • Develop workflows and extract, load, and transform pipelines using Python and Databricks to support scalable and reliable data solutions
  • Support the review of controls to ensure sufficient protection of enterprise data across the data lifecycle
  • Implement data security using entitlements frameworks to safeguard sensitive information
  • Update logical and physical data models based on evolving business use cases and requirements
  • Apply SQL expertise — including complex joins and aggregations — and leverage working knowledge of NoSQL databases to support diverse data access patterns
  • Apply reuse-first, AI-assisted practices to strengthen software development lifecycle quality routines for data pipelines (e.g., test generation and control validation), ensuring traceability, auditability, and alignment to resiliency and security expectations
  • Uses enterprise-authorized AI capabilities within the work environment to accelerate data pipeline design and documentation, validating outputs and handling data according to sensitivity and security requirements

Required qualifications, capabilities, and skills

  • Formal training or certification on software engineering concepts and expanding applied experience
  • Good working knowledge of cloud-based data services (especially Glue jobs and Federated Data Lake), unified analytics platforms, and Python
  • Experience across the data lifecycle, including ingestion, transformation, storage, and access patterns
  • Advanced proficiency in SQL, including joins and aggregations, with a working understanding of NoSQL databases
  • Significant experience with statistical data analysis and the ability to determine appropriate tools and data patterns for analysis
  • Experience utilizing cloud services for developing, deploying, and managing applications at scale
  • Good understanding and working knowledge of software development lifecycle tools used for configuration management, continuous integration and delivery pipelines, unit testing, regression testing, and performance testing
  • Working knowledge of using enterprise-authorized AI capabilities within the work environment to support software engineering workflows with strong validation habits and awareness of data sensitivity
  • Ability to review and validate AI-assisted code and technical recommendations before use, escalating when uncertain and following security and data handling requirements

Preferred qualifications, capabilities, and skills

  • Familiarity with standardized data layer practices such as Medallion architecture
  • Exposure to relational database platforms and cloud data warehousing solutions
  • Curiosity and foundational understanding of generative AI, large language models, and AI/ML solutions
  • Skills in designing efficient data models, including normalization, denormalization, and schema design, with an understanding of relational and star schemas

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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