
Tech Lead – Data & AI
ECA International
full-time
Posted on:
Location Type: Hybrid
Location: London • United Kingdom
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Job Level
About the role
- Shape how a modern enterprise becomes truly AI-native.
- Evolve our existing data platform into a product-facing, AI-ready foundation.
- Partner across disciplines and lead a team in a supportive environment.
- Take full accountability for the delivery of high-quality software products.
- Promote AI-native ways of working across product, data, and engineering.
- Manage and mentor your engineering team, fostering a collaborative environment.
- Collaborate with product owners and stakeholders to maintain technical roadmaps.
- Enforce rigorous quality standards with test-driven development and code reviews.
Requirements
- Data platform evolution: Take our current AWS/Snowflake/S3/Postgres setup and enable AI/RAG, product consumption, and multi-tenant access.
- Data acquisition & ingestion: Design multi-source ingestion (APIs, scraping/crawling, file drops, crowdsourcing, agent-based pipelines).
- AI as a consumption layer: Build LLM/RAG endpoints on top of our data and content as a service.
- Partnering with Analytics: Give the research teams clean, modelled, well-documented data.
- Guardrails, governance, and quality: Keep AI-generated code within SDLC, code review, and security bounds.
- Team leadership: Lead a small technical team (data/AI/ingestion).
- Delivery & Accountability: Take full accountability for the delivery of high-quality software products, owning both successes and challenges.
- Technical Direction & Architecture: Guide technical direction, establish best practices.
- Agile & Product Collaboration: Ensure Agile ceremonies (sprint planning, retrospectives, stand-ups) are followed.
- Quality & Continuous Improvement: Enforce rigorous quality standards including test-driven development (TDD), code reviews, and automated testing.
- Data-first mindset: You understand how data arrives in an organisation: via APIs, files, partner feeds, human/crowd sourced inputs.
- AI-positive, not AI-sceptic: This role is for someone who is genuinely enthusiastic about AI/LLMs/agents.
- Enterprise-aware: design with security, PII and tenancy in mind.
- Builder + Manager: You’re happy to open the IDE and build the pipeline, but you can also run a small team.
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
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
AWSSnowflakeS3PostgresAPIsscrapingcrawlingtest-driven developmentautomated testingdata ingestion
Soft skills
team leadershipcollaborationaccountabilitymentoringcommunicationsupportive environmentquality standardscontinuous improvementtechnical directionagile practices