Director of Data Engineering

Salary: £62,000 - 102,000 per year

Requirements:

• Hands-on practical experience delivering system design, application development, testing, and operational stability at enterprise scale
• Hands-on experience designing and deploying production AI/ML systems, including LLM-based applications and agentic architectures with tool use, memory, and multi-step reasoning in regulated environments
• Expert in one or more programming languages, particularly Python and/or Java
• Advanced knowledge of software application development and technical processes, with considerable depth in one or more disciplines such as cloud, AI/ML, or data engineering
• Experience in large-scale data processing, microservices, API design, Kafka, Redis, MemCached, observability tools such as Dynatrace, Splunk, and Grafana, and orchestration frameworks such as Airflow and Temporal
• Advanced working knowledge of relational and NoSQL databases, vector stores, data lake architectures, and data governance
• Practical cloud-native experience in AWS, Azure, or GCP
• Ability to present and effectively communicate with senior leaders and executives
• Demonstrable experience designing and leading adoption of agentic AI-enabled development practices across teams, including setting standards for human-in-the-loop validation, auditability and traceability of changes, and secure handling of sensitive data
• Strong understanding of responsible AI use and control expectations in engineering workflows, including security and resiliency implications, data sensitivity, and risk-based governance

Responsibilities:

• Architect and implement complex, scalable engineering frameworks and solutions using modern software design principles
• Develop secure, high-quality production code for data-intensive applications and platforms, and review and mentor other engineers
• Create durable, reusable software frameworks and patterns that are leveraged across teams and functions
• Design and govern agentic AI systems, including multi-agent workflows, tool-use integrations, and human-in-the-loop controls appropriate for regulated financial services environments
• Establish engineering standards for LLM-based applications, including RAG pipelines, embedding workflows, vector store integrations, and model serving, ensuring safety, observability, and reproducibility at scale
• Drive adoption of advanced technical methods and practices aligned with the latest industry standards and product development methodologies
• Serve as the functions go-to subject matter expert in one or more areas of focus within data engineering, platform architecture, or AI systems
• Advise cross-functional teams on technological matters within your domain of expertise
• Influence leaders and senior stakeholders across business, product, and technology teams on technical strategy and direction
• Architect and govern agentic AI-enabled engineering workflows using enterprise-authorized tools to improve delivery speed, code quality, and operational outcomes at scale, while defining guardrails for validation, security, resiliency, and reuse across teams
• Apply knowledge of tools within the software development life cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation at scale

Technologies:

• Agentic AI
• AI
• Airflow
• API
• AWS
• Architect
• Azure
• Cloud
• Dynatrace
• GCP
• Grafana
• Java
• Kafka
• LLM
• Marketing
• Model Serving
• NoSQL
• Python
• RAG
• Redis
• Security
• Splunk
• microservices
• Big Data
• Databricks
• Support
• PySpark
• Spark

More:

We are J.P. Morgan, a global leader in financial services, providing strategic advice and products to prominent corporations, governments, wealthy individuals, and institutional investors. Our first-class business in a first-class way approach drives everything we do as we build trusted, long-term partnerships to help clients achieve their business objectives. We value the diverse talents of our global workforce and are committed to diversity, inclusion, and equal opportunity. Our Corporate Functions span finance and risk, human resources, marketing, and more, supporting our businesses, clients, customers, and employees. This is a full-time role.

last updated 36 week of 2026