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

- **Company:** JPMorgan Chase & Co.
- **Location:** Banavie, 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 Infrastructure, Python (Programming Language), Memcached, NoSQL, Open Source Technology, Redis, Software Engineering, Large Language Models, Grafana, Apache Spark, Data Lakes, Pyspark, Kubernetes, Apache Kafka, Api Design, Splunk, Dynatrace, Databricks, Microservices
- **Published:** September 21, 2026
- **Apply:** https://www.apply4u.co.uk/jobs/software-engineer-iii-data-engineering-corporate-know-your-customer/46950496

## About the Role

tools (Dynatrace, Splunk, Grafana), and orchestration frameworks (Airflow, Temporal)Advanced working knowledge of relational and NoSQL databases, vector stores, data lake architectures, and data governancePractical cloud-native experience (AWS, Azure, or GCP)Ability to present and communicate effectively with senior leaders and executivesCommitment to inclusive, collaborative teamworkGood problem-solving and analytical skillsAdaptability in a fast-paced environmentFocus on delivering secure and scalable solutionsPreferred qualifications, capabilities, and skillsExperience with modern data platforms such as Databricks or SnowflakeDeep hands-on experience with Spark/PySpark and other big data processing technologiesExpertise in open-source table formats and catalog services such as Apache IcebergExperience with LLM orchestration frameworks and model serving infrastructure or managed endpoints (AWS Bedrock, Azure OpenAI)Familiarity with emerging technologies in data engineeringAbility to
drive innovation and continuous improvementPassion for mentoring and developing others #J-18808-Ljbffr

## Description

industry-standard practicesAdvise cross-functional teams on technological matters within your domainApply knowledge of tools within the Software Development Life Cycle, including AI-assisted development and automationEnhance automation at scale to improve value and efficiencyLead architectural decisions and engineering practices across multiple teamsCollaborate with stakeholders to deliver impactful solutionsChampion best practices in software development and data engineeringSupport a culture of innovation, inclusion, and continuous improvementRequired qualifications, capabilities, and skillsHands-on experience delivering system design, application development, testing, and operational stability at enterprise scaleExpertise in Python and/or PySparkKnowledge of software application development and technical processes, with depth in disciplines such as cloud, AI/ML, or data engineeringExperience in large-scale data processing, microservices, API design, Kafka, Redis, MemCached, observability


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