Lead Software Data Engineer – Corporate KYC

Salary: £62,000 - 102,000 per year

Requirements:

• Hands-on experience delivering system design, application development, testing, and operational stability at enterprise scale
• Expertise in Python and/or PySpark
• Advanced 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
• Strong problem-solving and analytical skills
• Adaptability in a fast-paced environment
• Focus on delivering secure and scalable solutions
• 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

Responsibilities:

• 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 our 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

Technologies:

• AI
• Airflow
• API
• AWS
• Azure
• Big Data
• Cloud
• Databricks
• Dynatrace
• GCP
• Grafana
• Support
• Kafka
• LLM
• Marketing
• Model Serving
• NoSQL
• Python
• PySpark
• Redis
• Snowflake
• Spark
• Splunk
• microservices
• Network

More:

We are JPMorgan Chase, one of the oldest financial institutions, and we offer innovative financial solutions to millions of consumers, small businesses, and many of the worlds most prominent corporate, institutional, and government clients under the J.P. Morgan and Chase brands. Our Corporate Functions team spans finance, risk, human resources, and marketing, and our Corporate Technology team develops applications and provides tech support across our corporate functions. In this Lead Software Engineer role, we are building a trusted Global Know Your Customer (KYC) and Risk Assessment Data Platform within our Corporate Sectors agile data engineering team. We offer a competitive total rewards package, with base salary based on role, experience, skill set, and location, and eligible roles may include commission-based pay and/or discretionary incentive compensation. We also offer benefits and programs such as comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, and financial coaching. We are committed to diversity, inclusion, equal opportunity, and reasonable accommodations, and our work helps support our businesses, clients, customers, and employees across the firm.

last updated 36 week of 2026