THE ROLE

Hugo’s Corporate Development department needs a lead engineer to own the Corporate Development Portal, part of Hugo’s internal Intelligence Hub. Senior leaders use it daily for a trusted view of business performance, planning and strategic initiatives. You will own the Portal end to end: architecture, delivery, quality and production health. You bring a background in analytics and financial intelligence platforms, and you know how to turn financial and operational data into figures an executive can act on with confidence.

ABOUT THE PRODUCT

The Portal is an evolving application with a live roadmap. It brings together:

• Financial and operational dashboards with real time data
• KPI and OKR tracking, active projects and the documents behind each planning cycle
• A knowledge base and document repositories, with an AI layer on top
• Role based access, so every user sees the data their role allows

WHAT YOU’LL BE DOING

• Take the existing prototype to a production application on the Intelligence Hub, then lead its continuous evolution.
• Own the architecture and technical roadmap, and present options and tradeoffs clearly to the executive sponsor and department leaders.
• Design the data models, metric definitions and reconciliation checks that keep financial figures consistent across dashboards, reports and the AI layer.
• Build frontend pages and components in React, with charts in Recharts.
• Build backend routes in Node and Express that serve warehouse and Postgres data to the UI.
• Own the data pipelines that feed the Portal and keep every dashboard figure matching its source.
• Design and build the AI layer, including agents that work from the knowledge base and natural language querying of dashboards.
• Design and implement authentication and role based access for multiple user groups, in line with Hugo’s data security standards.
• Set the code review, testing, documentation and release practices for the Portal, and align them with Hugo’s wider engineering standards.
• Keep the Portal available and fast in production, with runbooks the wider team can follow.
• Guide and review the work of any engineers or contractors added to the Portal as it grows.

KEY REQUIREMENTS

• 8+ years of professional full stack development, including at least one data heavy product that you architected and led to production.
• Hands-on experience building analytics platforms and financial intelligence products, such as performance reporting, FP&A, planning, treasury, investor reporting or business intelligence systems, where accuracy of the numbers is central to the product.
• Experience leading technical direction as a tech lead, staff engineer or engineering lead, including mentoring other engineers.
• Strong JavaScript across the stack: React on the frontend, Node.js and Express on the backend.
• Strong SQL and deep experience with PostgreSQL or a comparable relational database.
• Experience building data heavy dashboards and analytics applications.
• Experience modelling financial data, including metric definitions, period handling, currency and reconciliation to source systems.
• Production experience with authentication and role based access control, and sound practices for protecting confidential data.
• Experience with BigQuery or another cloud data warehouse.
• Experience with a BI tool such as Omni, Looker, Tableau or Power BI.
• Daily use of AI coding tools such as Claude Code or Cursor.
• Git and GitHub workflow, including leading code review.
• A record of working directly with executives and business stakeholders, and turning loose requests into scoped deliveries.

STRONG ADVANTAGES

• Experience integrating LLMs or building AI agents in production, especially natural language querying over financial data.
• Experience in a finance, strategy or corporate development team environment.
• Experience building multi tenant or multi entity systems where each entity’s data stays separate.
• Cloud and deployment experience (AWS, Cloudflare, Nginx, CI/CD pipelines).
• Python or Node for scripting and data manipulation.

• Take the existing prototype to a production application on the Intelligence Hub, then lead its continuous evolution.
• Own the architecture and technical roadmap, and present options and tradeoffs clearly to the executive sponsor and department leaders.
• Design the data models, metric definitions and reconciliation checks that keep financial figures consistent across dashboards, reports and the AI layer.
• Build frontend pages and components in React, with charts in Recharts.
• Build backend routes in Node and Express that serve warehouse and Postgres data to the UI.
• Own the data pipelines that feed the Portal and keep every dashboard figure matching its source.
• Design and build the AI layer, including agents that work from the knowledge base and natural language querying of dashboards.
• Design and implement authentication and role based access for multiple user groups, in line with Hugo’s data security standards.
• Set the code review, testing, documentation and release practices for the Portal, and align them with Hugo’s wider engineering standards.
• Keep the Portal available and fast in production, with runbooks the wider team can follow.
• Guide and review the work of any engineers or contractors added to the Portal as it grows.

• JavaScript
• React
• Node.js
• Express
• SQL
• PostgreSQL
• BigQuery
• Git
• GitHub
• AI coding tools
• LLMs
• Python
• Cloud deployment
• CI/CD pipelines

• BA/BSc/HND
• 8+ years of professional full stack development, including at least one data heavy product that you architected and led to production.
• Hands-on experience building analytics platforms and financial intelligence products, such as performance reporting, FP&A, planning, treasury, investor reporting or business intelligence systems, where accuracy of the numbers is central to the product.
• Experience leading technical direction as a tech lead, staff engineer or engineering lead, including mentoring other engineers.
• Strong SQL and deep experience with PostgreSQL or a comparable relational database.
• Experience building data heavy dashboards and analytics applications.
• Experience modelling financial data, including metric definitions, period handling, currency and reconciliation to source systems.
• Production experience with authentication and role based access control, and sound practices for protecting confidential data.
• Experience with BigQuery or another cloud data warehouse.
• Experience with a BI tool such as Omni, Looker, Tableau or Power BI.
• Daily use of AI coding tools such as Claude Code or Cursor.
• Git and GitHub workflow, including leading code review.
• A record of working directly with executives and business stakeholders, and turning loose requests into scoped deliveries.
• Experience integrating LLMs or building AI agents in production, especially natural language querying over financial data.
• Experience in a finance, strategy or corporate development team environment.
• Experience building multi tenant or multi entity systems where each entity’s data stays separate.
• Cloud and deployment experience (AWS, Cloudflare, Nginx, CI/CD pipelines).
• Python or Node for scripting and data manipulation.