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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer III - Data Engineering- Corporate Know Your Customer - **Company:** JPMorgan Chase & Co. - **Location:** Glasgow, UK - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Airflow, Amazon Web Services, Apache HTTP Server, Microsoft Azure, Big Data, Cloud Computing, Cloud Engineering, Code Review, Information Engineering, Data Governance, Data Infrastructure, Python (Programming Language), Memcached, NoSQL, Open Source Technology, Redis, Software Engineering, Large Language Models, Snowflake, Grafana, Apache Spark, Data Lakes, Pyspark, Kubernetes, Production Code, Apache Kafka, Machine Learning Operations, Api Design, Splunk, Dynatrace, Databricks, Microservices - **Published:** August 4, 2026 - **Apply:** https://jpmc.fa.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1001/requisitions/preview/210778819 ## About the Role * Hands-on experience delivering system design, application development, testing, and operational stability at enterprise scale * Expertise in Python and/or PySpark * 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, MemCached, observability tools (Dynatrace, Splunk, Grafana), and orchestration frameworks (Airflow, Temporal) * Advanced working knowledge of relational and NoSQL 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/PySpark 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 OpenAI) * Familiarity with emerging technologies in data engineering * Ability to drive innovation and continuous improvement * Passion for mentoring and developing others ## Description 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., * 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 ## Related Videos - [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis) - [Our journey with Spring Boot in a microservice architecture](https://www.wearedevelopers.com/videos/511-our-journey-with-spring-boot-in-a-microservice-architecture) - [Reducing LLM Calls with Vector Search Patterns - Raphael De Lio (Redis)](https://www.wearedevelopers.com/videos/1714-reducing-llm-calls-with-vector-search-patterns-raphael-de-lio-redis) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [NoSQL Data Modeling for Front-end Developers](https://www.wearedevelopers.com/videos/297-nosql-data-modeling-for-front-end-developers) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) ## Related Articles - [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) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)