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# Software Engineer III - Data Engineering- Corporate Know Your Customer

- **Company:** JPMorgan Chase & Co.
- **Location:** Milton Keynes, UK
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Airflow, Amazon Web Services, Apache HTTP Server, Microsoft Azure, Big Data, Cloud Computing, Cloud Engineering, 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, Apache Kafka, Api Design, Splunk, Dynatrace, Databricks, Microservices
- **Published:** September 11, 2026
- **Apply:** https://www.apply4u.co.uk/jobs/software-engineer-iii-data-engineering-corporate-know-your-customer/46558336

## About the Role

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 ABOUT US 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 ourFAQsfor more information about requesting an accommodation. ABOUT THE TEAM Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success. JBRP1_UKTJ

## Description

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 PySpark Knowledge of software application development and technical processes, with depth in disciplines such as cloud, AI/ML, or data engineering


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