Overview

Lead Full Stack Software Engineer (Data & Analytics)

Responsibilities

• Lead the design and delivery of full-stack features across our data platform applications, from database through to UI.
• Take ownership of complex, cross-cutting technical problems and drive them through to production.
• Define and advocate for engineering best practices: testing strategy, code quality, API design, database schema, security, and performance.
• Collaborate closely with product managers, data operations, and other engineers to translate requirements into well-architected solutions.
• Mentor and support other engineers through code review, pair programming, and technical guidance.
• Contribute to architectural discussions and help evaluate technology choices across the team.
• Build applications that enable internal users to operate and manage our data platform, with a strong appreciation for how those apps interact with the underlying data infrastructure designing for performance, reliability, and minimal friction between layers. Help establish patterns for front-end component design, state management, and API integration.
• Champion a culture of incremental delivery, continuous improvement, and shared ownership.
• Embrace a DevOps mindset: take end-to-end ownership of what you build, from development through deployment, monitoring, and production support. If you build it, you support it.
• Front-end expertise: Proven experience building complex, production-grade front-end applications using modern frameworks (e.g. Vue, React, Blazor, or similar). Deep understanding of JavaScript/TypeScript, HTML/CSS, and browser performance.
• Back-end proficiency: Solid experience designing and building RESTful or event-driven APIs, preferably in C#/.NET. Comfortable working across services and distributed system patterns.
• Database skills: Confident working with relational databases particularly PostgreSQL including schema design, query optimisation, indexing, and managing migrations in production environments.
• Testing discipline: Strong commitment to and practical experience with testing at all levels unit, integration, and end-to-end and the ability to instill good testing practices across a team.
• Full-stack ownership: Demonstrated ability to take a feature from requirements to production across the full stack, making sound trade-offs along the way.
• Technical leadership: Experience guiding technical direction, conducting meaningful code reviews, and raising the bar for engineering quality in a team environment.
• Communication: Able to explain technical decisions clearly to both engineering peers and non- technical stakeholders.
• Problem-solving at scale: Experience working on data-intensive or high-volume systems and understanding the constraints that come with them.
• A DevOps mindset with experience monitoring, operating, and supporting systems in production. Comfortable with observability tooling, incident response, and treating operational health as part of the engineering role.
• Experience building internal tooling, operational dashboards, or admin interfaces for data- centric domains.
• Familiarity with Blazor for front-end development.
• Exposure to cloud-native development on AWS.
• Experience with performance profiling, monitoring, and observability tooling.
• Background in fintech, compliance, or regulated data environments.
• Familiarity with event-driven architectures or message queue systems (e.g. SQS, Kafka).
• Experience with accessibility standards and inclusive design practices.

Benefits

• Technically challenging problems at a scale that genuinely matters financial compliance data that institutions depend on.
• A collaborative, curious engineering culture that values integrity and craft.
• A modern, cloud-native stack with real autonomy to shape how we build.
• The opportunity to take meaningful technical ownership and influence the direction of a growing platform.
• Support for continuous learning and a team that takes improvement seriously.