Hybrid Engineering Manager – Data & AI

Posted last week

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About the role

  • Engineering Manager leading evolution of AI-native data platform at ECA International Group. Focused on data acquisition, AI integration, and team leadership in a hybrid work environment.

Responsibilities

  • Shape how a modern enterprise becomes truly AI-native
  • Evolve existing data platform into a product-facing, AI-ready foundation
  • Partner across disciplines and lead a team in a supportive, high-trust environment
  • Help scale data acquisition, ingestion, and AI-powered consumption within a secure, multi-tenant environment
  • Take accountability for high-quality software products and drive outcome-focused delivery planning
  • Ensure Agile practices are refined to optimise team performance
  • Promote AI-native ways of working across product, data, and engineering
  • Architecting and building well-tested, maintainable applications
  • Actively learning about AI constructs and translating them into working, secure services

Requirements

  • Data platform evolution
  • Design multi-source ingestion (APIs, scraping/crawling, file drops, crowdsourcing, agent-based pipelines)
  • Build LLM/RAG endpoints on top of our data and content as a service
  • Give the research teams clean, modelled, well-documented data
  • Keep AI-generated code within SDLC, code review, and security bounds
  • Lead a small technical team (data/AI/ingestion)
  • Take full accountability for the delivery of high-quality software products
  • Guide technical direction, establish best practices, and ensure architectural decisions support scalability
  • Ensure Agile ceremonies are followed and continuously refine Agile practices
  • Enforce rigorous quality standards including test-driven development (TDD), code reviews, and automated testing
  • Understand how data arrives in an organisation: via APIs, files, partner feeds, human/crowd sourced inputs
  • Genuinely enthusiastic about AI/LLMs/agents
  • Design with security, PII and tenancy in mind.
  • Open the IDE and build the pipeline, run a small team, set standards, review code, and coach people into AI-native ways of...

Benefits

  • Enhanced Stakeholder Pension Contribution
  • 25 days annual leave
  • Health, Life Insurance + EAP Wellbeing Support
  • Eligible for Annual Bonus Scheme
  • Long Service Awards
  • ClassPass Membership
  • Enhanced Family Leave
  • Up to £1,000 per year for personal development & training
  • Season Ticket Loan
  • Flexible/hybrid Work Environment
  • Cycle to Work Scheme
  • Free Eye Test

Job title

Engineering Manager – Data & AI

Job type

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

Bachelor's Degree

Tech skills

Location requirements

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