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For Companies At a Glance
- Tasks: Lead the evolution of our data platform and drive AI adoption across the company.
- Company: Join ECA International Group, a global leader in simplifying international mobility.
- Benefits: Enjoy flexible work, health benefits, and up to ÂŁ1,000 for personal development.
- Why this job: Shape the future of AI in a supportive, innovative environment with global impact.
- Qualifications: Experience with AWS, Snowflake, and a passion for AI and data-driven solutions.
- Other info: Be part of a diverse community that values your unique talents and growth.
The predicted salary is between 43200 - 72000 ÂŁ per year.
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.
Key Responsibilities
- 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); make it observable, repeatable, and documented.
- AI consumption layer: Build LLM/RAG endpoints on top of our data; expose services to Data Insights to enable dynamic exploration and insight generation.
- Partner with Analytics: Provide clean, modelled, well‑documented data; transform one‑off work into scheduled, production jobs.
- Guardrails, governance, and quality: Ensure AI‑generated code resides within SDLC, passes code review and security bounds; audit data and AI services for tenant awareness.
- Team leadership: Lead a small technical team (data/AI/ingestion); promote AI‑native ways of working; manage and mentor team, deliver on objectives, provide feedback, conduct performance reviews.
- Delivery & accountability: Own delivery of high‑quality software products; drive outcome‑focused planning and execution, quantify success by business impact; identify and mitigate risks.
- Technical direction & architecture: Guide technical direction, establish best practices, ensure architecture supports scalability, maintainability, and business goals; contribute as hands‑on architect.
- Agile & product collaboration: Facilitate Agile ceremonies, refine practices, collaborate with product owners, build and maintain a prioritised backlog.
- Quality & continuous improvement: Enforce rigorous quality standards (TDD, code reviews, automated testing), security best practices; foster experimentation, learning, continuous improvement; use data and metrics to drive decisions.
Ideal Candidate
- Data‑first mindset with understanding of data arrival patterns (APIs, files, partner feeds, human/crowd‑sourced inputs, internet) and their latency, quality, governance needs.
- Hands‑on experience with AWS services (core services, IAM, networking).
- Experience with Snowflake (or similar cloud data warehouse).
- Proficiency with Amazon S3, Postgres (JSONB), event‑driven patterns for efficient data pipelines.
- Enthusiastic about AI/LLMs/agents; actively learning; able to translate AI concepts (RAG, agents, tools, function calling, model evaluation, private models) into secure services.
- Enterprise‑aware: design with security, PII, and tenancy in mind; accept governance and SDLC gates as part of AI safety while delivering fast.
- Builder + manager: comfortable building pipelines yourself and running a small team, setting standards, reviewing code, coaching people into AI‑native ways of working.
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 ÂŁ1,000 per year for personal development & training
- Season Ticket Loan
- Flexible/hybrid Work Environment
- Cycle to Work Scheme
- Free Eye Test
Tech Lead - Data & AI in London employer: ECA International
Contact Detail:
ECA International Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Tech Lead - Data & AI in London
✨Tip Number 1
Network like a pro! Reach out to people in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Prepare for interviews by researching the company and its culture. Tailor your answers to show how you fit into their vision, especially around AI and data!
✨Tip Number 3
Showcase your skills with a portfolio or projects that highlight your experience with AWS, Snowflake, and AI. Real examples speak louder than words!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace Tech Lead - Data & AI in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Tech Lead role. Highlight your hands-on experience with AWS, Snowflake, and AI technologies to show us you’re the right fit!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you’re passionate about data and AI. Share specific examples of how you've led teams or projects in the past, and how you can contribute to our mission.
Showcase Your Leadership Skills: Since this role involves leading a technical team, make sure to highlight your leadership experience. Talk about how you've mentored others and driven successful outcomes in previous roles.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at ECA International
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like AWS, Snowflake, and Postgres. Brush up on your knowledge of data pipelines and AI concepts, as you’ll likely be asked to discuss how you can evolve their data platform.
✨Showcase Your Leadership Skills
Prepare examples of how you've successfully led teams in the past. Highlight your experience in mentoring and managing technical teams, as this role requires someone who can promote AI-native ways of working while ensuring high-quality delivery.
✨Understand Their Business Impact
Research ECA International Group and understand their mission in simplifying international mobility. Be ready to discuss how your work can contribute to their goals and how you can drive meaningful impact through data and AI.
✨Prepare for Scenario Questions
Expect scenario-based questions that assess your problem-solving skills. Think about how you would handle challenges related to data acquisition, governance, and team dynamics. Practising these scenarios will help you articulate your thought process clearly during the interview.
