Job Specifications
About Us
As a leading group of companies, the ECA International Group stands as a global frontrunner in simplifying international mobility. Our collective vision is to make a positive impact by delivering exceptional products and services to our prestigious list of large enterprise clients.
Our global presence across the UK, EU, Hong Kong, Australia, and the US offers our team a world of opportunities, and our commitment to innovation ensures that you will be at the leading edge of your field.
We love to invest in our people's success and development pathways, creating a diverse and inclusive community where your unique talents shine. Your work here has a global impact, and we prioritise work-life balance, offering flexibility to enable you to perform your best. Join us to experience a rewarding career where your potential is celebrated, and your journey to excellence begins.
About The Job
This role is ideal for someone who wants to shape how a modern enterprise becomes truly AI-native. We already use AI in delivery and engineering, and we have strong guardrails and governance in place. Now, we're looking for a leader who can help us scale: across data acquisition, ingestion, storage, and AI-powered consumption within a secure, multi-tenant environment.
You'll evolve our existing data platform (AWS, Snowflake, S3, Postgres, event-driven services) into a product-facing, AI-ready foundation, while partnering across disciplines and leading a team in a supportive, high-trust environment.
If you're passionate about data, excited about AI, and motivated by meaningful impact, this role gives you the autonomy, influence, and visibility to shape how AI is adopted across the company.
Requirements
Key Responsibilities
Data platform evolution
Take our current AWS/Snowflake/S3/Postgres setup and enable AI/RAG, product consumption, and multi-tenant access
Work with the Technical Architect to keep this aligned with our event-driven and security model
Data acquisition & ingestion
Design multi-source ingestion (APIs, scraping/crawling, file drops, crowdsourcing, agent-based pipelines)
Make it observable, repeatable, and documented so research and analytics can plug in new sources without rework
AI as a consumption layer
Build LLM/RAG endpoints on top of our data and content as a service
Expose these services to Data Insights to enable users to ask, explore, and generate insights - not only download reports
Partnering with Analytics
Give the research teams clean, modelled, well-documented data
Turn one-off work into scheduled, production jobs
Guardrails, governance, and quality
Keep AI-generated code within SDLC, code review, and security bounds
Ensure data and AI services are audited and tenant aware
Team leadership
Lead a small technical team (data/AI/ingestion)
Promote AI-native ways of working across product, data, and engineering
Manage and mentor your engineering team, fostering a collaborative, high-performance environment with excellent productivity
Demonstrate hands-on technical excellence while modelling accountability, critical thinking, and AI-first practices
Set clear objectives, provide regular feedback, conduct performance reviews
Delivery & Accountability
Take full accountability for the delivery of high-quality software products, owning both successes and challenges
Drive outcome focused delivery planning and execution, measuring success by business impact rather than effort or hours invested
Proactively identify and mitigate risks, making critical decisions to keep projects on track
Technical Direction & Architecture
Guide technical direction, establish best practices, and ensure architectural decisions support scalability, maintainability, and business goals
Be a hands-on contributor forArchitecting and building well-tested, maintainable applications
Optimise tech stacks and development workflows to maximise team productivity
Agile & Product Collaboration
Ensure Agile ceremonies (sprint planning, retrospectives, stand-ups) are followed and continuously refine Agile practices to optimise team performance
Collaborate with product owners and stakeholders to develop and maintain technical roadmaps that align with business strategy
Work with product owners to build and maintain a prioritised backlog that balances business value, technical debt, and innovation
Quality & Continuous Improvement
Enforce rigorous quality standards including test-driven development (TDD), code reviews, and automated testing
Ensure that security best practices are followed to the highest standards
Foster a culture of experimentation, learning, and continuous improvement
Use data and metrics to drive decisions and demonstrate improvement in team velocity, quality, and business outcomes
The Ideal Candidate:
Data-first mindset
You understand how data arrives in an organisation: via APIs, files, partner feeds, human/crowd sourced inputs or from the internet and that each of those has different latency, quality, and governance