Engineering Tech Lead - Data & AI

Help Shape the Future of AI at ECA International

What if you could help build the AI-native future of a global business?

At ECA International, we're already using AI across software development, data ingestion and delivery, with the governance and guardrails in place to support it safely within an enterprise environment.

Now we're looking for an Engineering Tech Lead – Data & AI to help us scale that capability further.

You'll help evolve our existing data platform, built on AWS, Snowflake, S3, Postgres and event-driven services, into an AI-ready foundation that supports new Data Production and Data Discovery experiences across the business.

This is an opportunity to work at the intersection of data, engineering and AI, helping to build practical solutions that create real value for both our teams and our clients.

You'll remain hands-on technically whilst managing and mentoring a small team, helping to drive AI-native ways of working across engineering, product and data.

If you're passionate about data, excited by AI and enjoy solving complex technical challenges, we'd love to hear from you.

About ECA International

ECA International is a global leader in international mobility, helping some of the world's largest organisations manage and support their internationally mobile workforces.

Operating across the UK, Europe, Asia-Pacific and North America, we combine data, technology and expertise to deliver products and services that support global businesses and their employees.

What You'll Be Working On

• Evolving our AWS, Snowflake, S3 and Postgres platform into an AI-ready ecosystem
• Building scalable data acquisition and ingestion pipelines across multiple data sources
• Developing LLM and RAG-powered services and experiences
• Creating new Data Production and Data Discovery capabilities
• Partnering with Analytics teams to deliver clean, accessible and valuable data
• Managing and mentoring a small Data & AI engineering team
• Driving engineering standards, quality and continuous improvement
• Remaining hands-on with architecture, design and development

Requirements

About You

You'll likely have a background in data engineering and be excited by the opportunities AI is creating.

You'll have experience with

• AWS and cloud-native technologies
• Snowflake or similar cloud data platforms
• Data orchestration tools such as Airflow, Prefect or similar
• Amazon S3 and modern data architectures
• Postgres and semi-structured data models
• Designing and building event-driven architectures and scalable systems
• Building and operating scalable data pipelines across ingestion, transformation and delivery
• Data warehousing and modelling data to serve analytics and downstream products
• Working across engineering and product teams
• Mentoring a small Data & AI engineering team

You'll understand how data enters an organisation through APIs, files, partner feeds and external sources, including collecting large volumes of data with the governance, quality and operational considerations that come with each.

You'll have shipped production deliverables where AI has meaningfully improved engineering or data workflows, or product capabilities, and be able to explain the impact and trade-offs involved.

You'll be eligible to work in the United Kingdom.

Who We're Looking For

We're looking for someone who understands both the opportunities and responsibilities that come with bringing AI into an established enterprise environment.

Nice to Have

Experience with

• Browser automation and web scraping tools such as Playwright or Puppeteer
• RAG evaluation frameworks
• Private or self-hosted AI models, working across both cloud-based and private AI environments, and using frontier AI models via APIs
• A qualification in Data Science, whether through a degree or equivalent training

Benefits

• Why Join ECA?
• This is an opportunity to join a business that is investing heavily in data, technology and AI.
• You'll work alongside talented colleagues in a collaborative environment where innovation is encouraged, learning is supported and your contribution will have visible impact.

Benefits

• Annual bonus scheme
• Enhanced pension contribution
• 25 days annual leave
• Health, life insurance and wellbeing support
• £1,000 annual learning and development budget
• Enhanced family leave
• ClassPass membership
• Flexible hybrid working
• Cycle to Work Scheme
• Season Ticket Loan
• Long Service Awards

If you're excited by the future of AI and want to help shape how a global business adopts and scales AI capabilities, we'd love to hear from you.