> Markdown version of [/jobs/ext/1475531-data-engineer-iii-python-databricks-senior-associate](https://www.wearedevelopers.com/jobs/ext/1475531-data-engineer-iii-python-databricks-senior-associate). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer III - Python, Databricks - Senior Associate - **Company:** JPMorganChase - **Location:** London, UK - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Unit Testing, Configuration Management, Continuous Integration, Information Engineering, Data Security, Information Lifecycle Management, Python (Programming Language), PostgreSQL, MongoDB, NoSQL, Systems Development Life Cycle, Regression Testing, Software Engineering, SQL Databases, Enterprise Data Management, Data Processing, Performance Testing, Data Layers, Physical Data Models, Data Pipelines, Databricks - **Published:** July 29, 2026 - **Apply:** https://uk.indeed.com/viewjob?jk=c4bee16f4142caff ## About the Role * Formal training or certification on software engineering concepts and 3 years applied experience. * Good working knowledge of AWS, Databricks, and Python. * Experience across the data lifecycle. * Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support data engineering workflows with strong validation habits and awareness of data sensitivity. * Ability to review and validate AI-assisted outputs (e.g., query suggestions, test ideas, or model change summaries) before use, escalating when uncertain and following data handling requirements. * Advanced at SQL, including joins and aggregations. * Working understanding of NoSQL databases. * Significant experience with statistical data analysis and ability to determine appropriate tools and data patterns for analysis. * Utilize AWS Cloud Services for developing, deploying, and managing applications at scale. * Good understanding and working knowledge of software development lifecycle tools used for configuration management, CI/CD pipelines, unit testing, regression testing, and performance testing. Preferred qualifications, capabilities, and skills * Familiarity with the Standardized data layer practices (Medallion architecture) * Exposure to Aurora Postgres and MongoDB * Skills in designing efficient data models including normalization, denormalization, and schema design and an understanding around relational and star schemas. ## Description * Develop workflows and ELT pipelines using Python and Databricks. * Uses enterprise-authorized AI capabilities within the work environment to accelerate data pipeline/design analysis and documentation, validating outputs and handling data according to sensitivity and security requirements. * Support review of controls to ensure sufficient protection of enterprise data. * Implement data security using entitlements frameworks. * Update logical or physical data models based on new use cases. * Use SQL frequently and understand NoSQL databases * Applies reuse-first, AI-assisted practices to strengthen SDLC-quality routines for data pipelines (e.g., test generation and control validation), ensuring traceability/auditability and alignment to resiliency and security expectations., 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. ## Related Videos - [40 Minutes to Build a Serverless COVID-19 REST and GraphQL APIs](https://www.wearedevelopers.com/videos/208-40-minutes-to-build-a-serverless-covid-19-rest-and-graphql-apis) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [NoSQL Data Modeling for Front-end Developers](https://www.wearedevelopers.com/videos/297-nosql-data-modeling-for-front-end-developers) - [Data Fabric in Action - How to enhance a Stock Trading App with ML and Data Virtualization](https://www.wearedevelopers.com/videos/253-data-fabric-in-action-how-to-enhance-a-stock-trading-app-with-ml-and-data-virtualization) ## Related Articles - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Data Analyst Salary in Switzerland](https://www.wearedevelopers.com/magazine/276-data-analyst-salary-in-switzerland) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know)