About this role
Salary: £61,000 - 101,000 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 (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 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 endpoints (AWS Bedrock, Azure OpenAI)Familiarity 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: AIAirflowAPIAWSAzureBig DataCloudDatabricksDynatraceGCPGrafanaSupportKafkaLLMMarketingModel ServingNoSQLPythonPySparkRedisSnowflakeSparkSplunkmicroservices More:
We are partnering directly with JPMorganChase to hire a Software Engineer for our Corporate Sectors agile data engineering team. We are shaping the future of financial technology by developing a trusted Global Know Your Customer (KYC) and Risk Assessment Data Platform that supports our portfolios and serves millions of customers worldwide. In this role, we work across multiple teams to define architecture and engineering standards, deliver scalable software, and contribute to a culture of innovation, inclusion, and continuous improvement. We are part of J.P. Morgan, a global leader in financial services with a first-class business in a first-class way approach, and our Corporate Functions team spans finance, risk, human resources, marketing, and other essential areas that help set our businesses, clients, customers, and employees up for success.
last updated 37 week of 2026