As the Engineering Tech Lead for Data & AI at ECA International, you will spearhead the architecture and evolution of a next-generation data platform. This player-coach role involves mentoring a specialized team while shipping production AI capabilities. You’ll drive technical strategy and collaborate with product peers to deliver high-impact, data-driven business outcomes.
Engineering Tech Lead at ECA International
Join ECA International as an Engineering Tech Lead to spearhead a ground-up modernization of their Data & AI platform. This is a unique player-coach opportunity at a profitable, market-leading firm where you will own the architecture, mentor a talented team, and ship production-grade AI features like RAG systems and LLM integrations. With a salary up to £120k and a central London hybrid setup, this role is perfect for a senior data leader who wants genuine ownership and the chance to shape the AI strategy for a company serving the Fortune 500.
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Location
London, United Kingdom
Compensation
£80k-£120k
Company
ECA International
Role overview
ECA International is a global mobility and expatriate management specialist that provides data, software services, consultancy, and training to help organizations manage compensation and benefits for international workers on short‑term, long‑term, or permanent assignments around the world. It supplies detailed data on cost of living, accommodation, tax, salary benchmarks, and other assignment‑related factors, and integrates this data into tools and software to support the design and administration of international remuneration packages. ECA International also offers advisory services on global mobility policy, assignment structures, and compliance, along with training for HR and mobility professionals to effectively manage expatriate programs across multiple countries and sectors.
What you will do
- Own the technical architecture and long-term roadmap for the Data & AI environment, ensuring scalability and security.
- Mentor and lead a small team of engineers, fostering a culture of technical excellence and continuous learning.
- Develop and deploy robust data pipelines and AI-powered features using technologies like AWS, Snowflake, and LLMs.
Who this is a fit for
- Deep expertise in data engineering with a stack including AWS, Snowflake, event-driven pipelines, and orchestration tools like Airflow or Prefect.
- Proven track record of delivering production-ready AI features, such as RAG systems or ML pipelines, with clear business impact.
- Strong leadership experience in mentoring engineers and collaborating with cross-functional stakeholders to align technical direction with business goals.
Why this role is remarkable
- Lead a ground-up modernisation of the data and AI platform for a company where data is the core product.
- Enjoy the stability and profitability of an industry leader combined with the technical ownership and innovation of a greenfield project.
- Ship real-world AI applications, including LLM integrations and RAG systems, directly into production for a global enterprise client base.
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