About this role
Salary: £100,000 - 100,000 per year
Requirements: Hands-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 tools, and orchestration frameworksAdvanced 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 solutionsExperience 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 endpointsFamiliarity with emerging technologies in data engineeringAbility to drive innovation and continuous improvementPassion for mentoring and developing others Responsibilities: Develop secure, high-quality production code for data-intensive applications and platformsReview code and mentor engineers to foster growth and excellenceCreate durable, reusable software frameworks and patterns for use across teamsDrive adoption of advanced technical methods and 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 improvement Technologies: AIAPIAWSAzureBig DataCloudDatabricksGCPSupportKafkaLLMMarketingModel ServingNoSQLPythonPySparkRedisSnowflakeSparkmicroservicesAirflowDynatraceGrafanaSplunk More:
We are partnering directly with JPMorganChase to hire a Software Engineer for our Corporate Sector agile data engineering team. We are building a trusted Global Know Your Customer (KYC) and Risk Assessment Data Platform and shaping the future of financial technology for millions of customers worldwide. In this role, you will work across multiple teams, help define architecture and engineering standards, and deliver secure, stable, and scalable software. Our Corporate Functions team spans finance, risk, human resources, and marketing, and we value diversity, inclusion, and long-term client partnerships as part of our first-class approach to serving clients.
last updated 35 week of 2026