ECA International

About the Company

ECA provides leading global mobility technology solutions, data and expertise to help organisations effectively manage compensation and benefits for their internationally mobile workforce.

Whether you are moving employees on a short-term, long-term or permanent basis, we have the information, technology and people you need. Our comprehensive suite of solutions coupled with superior service will enable you to meet mobility goals and drive transformation to support ever-evolving business and talent priorities.

Mobility solutions for a world that's constantly moving.

Listed Jobs

Company Name

ECA International

Job Title

Engineering Manager - Data & AI

Job Description

**Job Title:** Engineering Manager – Data & AI **Role Summary:** Leads the evolution of a secure, multi‑tenant data platform (AWS, Snowflake, S3, Postgres) into an AI‑ready product foundation. Drives AI/LLM consumption layers, data acquisition, and ingestion pipelines while overseeing a small technical team. Ensures governance, quality, and agile delivery of high‑impact software solutions that enable AI adoption across the enterprise. **Expectations:** - Provide technical vision and hands‑on leadership for data and AI initiatives. - Deliver scalable, maintainable solutions aligned with business outcomes. - Foster an AI‑native culture, high‑trust collaboration, and continuous improvement. - Maintain rigorous security, governance, and quality standards. **Key Responsibilities:** - Evolve AWS/Snowflake/S3/Postgres stack to support AI/RAG, product consumption, and multi‑tenant access. - Design and implement multi‑source data ingestion (APIs, web scraping, file drops, crowdsourcing, agent pipelines) with observability and repeatability. - Build LLM/RAG endpoints and expose them as data‑as‑a‑service for analytics teams. - Deliver clean, modeled, well‑documented data sets; automate one‑off processes into production jobs. - Enforce AI code lifecycle controls, security reviews, and tenant‑aware audits. - Lead, mentor, and performance‑manage a small data/AI engineering team; promote AI‑first ways of working. - Own end‑to‑end product delivery, risk mitigation, and outcome‑focused planning. - Define technical direction, best practices, and architecture for scalability and maintainability. - Drive Agile ceremonies, backlog prioritization, and collaboration with product owners. - Uphold test‑driven development, code reviews, automated testing, and security best practices. **Required Skills:** - Strong experience with AWS services, Snowflake, S3, PostgreSQL, and event‑driven architectures. - Proven data engineering expertise: API integration, web crawling, file ingestion, ETL/ELT pipelines. - Hands‑on development of LLM/RAG or other generative AI services; familiarity with prompt engineering and model deployment. - Deep understanding of data governance, security, multi‑tenant design, and SDLC compliance. - Leadership experience managing technical teams; coaching, performance reviews, and fostering collaborative cultures. - Agile product development, Scrum/Kanban practices, and roadmap alignment. - Proficiency in TDD, CI/CD pipelines, automated testing, and code quality tools. - Excellent problem‑solving, critical thinking, and communication skills. **Required Education & Certifications:** - Bachelor’s degree in Computer Science, Engineering, Data Science, or related field (Master’s preferred). - Relevant certifications such as AWS Certified Solutions Architect/Developer, SnowPro Core, or equivalent data engineering/AI credentials. - Demonstrated track record of delivering data‑driven AI solutions at scale.

London, United kingdom

Hybrid

05-01-2026

Company Name

ECA International

Job Title

Tech Lead - Data & AI

Job Description

**Job Title:** Tech Lead – Data & AI **Role Summary:** Lead the evolution of an enterprise data platform to an AI‑ready, multi‑tenant foundation. Own architectural vision, guide a small technical team, and partner across product, analytics, and engineering to embed AI capabilities (LLM/RAG) into scalable, governed data services. **Expectations:** - Transform the current AWS, Snowflake, S3, and Postgres stack into a product‑facing, AI‑native infrastructure. - Drive adoption of AI services while ensuring security, governance, and high‑quality delivery across the organization. - Demonstrate technical ownership, mentorship, and agile delivery that emphasizes business impact over effort. **Key Responsibilities:** - Evolve data platform for multi‑tenant AI, RAG, and product consumption. - Design observable, repeatable ingestion pipelines from APIs, scraping, file drops, and crowdsourcing. - Build LLM/RAG endpoints and expose them to Data Insights for dynamic querying. - Partner with analytics to deliver clean, modeled data and production workflows. - Enforce SDLC practices, code reviews, TDD, and security audits for AI services. - Lead, mentor, and manage a small team of data/AI/ingestion engineers. - Own delivery, risk mitigation, and outcome‑focused planning. - Guide technical direction, establish best practices, and optimize productivity. - Maintain agile ceremonies, collaborate with product owners, and balance backlog priorities. **Required Skills:** - Deep expertise in cloud data platforms (AWS, Snowflake, S3, Postgres, event‑driven architectures). - Proven experience with data ingestion, multi‑source pipelines, and observability. - Hands‑on AI/LLM development with RAG, including endpoint design and deployment. - Strong knowledge of security, governance, and multi‑tenant architecture. - SDLC ownership: code review, TDD, automated testing, and security best practices. - Leadership: team managing, coaching, performance reviews, and fostering high‑performance culture. - Agile project management and product roadmap collaboration. - Analytical mindset and data‑driven decision making. **Required Education & Certifications:** - Bachelor’s degree (or equivalent) in Computer Science, Data Engineering, or related field. - Professional certifications in cloud platforms (AWS, Snowflake) and data engineering are desirable.

London, United kingdom

Hybrid

Senior

05-01-2026

Company Name

ECA International

Job Title

Full-Stack Engineer - 6-month contract - Immediate Start

Job Description

Job Title: Full‑Stack Engineer (6‑Month Contract) Role Summary: Deliver end‑to‑end, AI‑enhanced full‑stack solutions for a global mobility platform. Lead technical design, mentor junior engineers, and collaborate with product and business stakeholders to translate requirements into scalable, high‑performance services. Expectations: Immediate start, contract duration 6 months, full‑time commitment. Demonstrated ability to own complex systems, make decisive technical choices, and prioritize tasks to meet tight deadlines. Strong communication with both technical and non‑technical audiences. Proactive mindset, willingness to adopt AI tools and share knowledge within the team. Key Responsibilities: - Architect, develop, and deploy scalable, high‑performance applications using React, Tailwind CSS, Node.js, TypeScript. - Design microservices and modular architecture that support AI‑first features such as RAG workflows, intelligent search, and recommendation systems. - Implement RESTful and GraphQL APIs; orchestrate services via middleware (e.g., Tachyon, Temporal). - Build data pipelines, ingest data, and integrate with PostgreSQL, Snowflake, NoSQL, and vector databases. - Configure cloud-native environments on AWS; manage containers, orchestration (Docker, Kubernetes), IaC (Terraform), and CI/CD pipelines. - Ensure performance tuning, monitoring, and optimization across the stack. - Apply secure coding practices, data privacy, and compliance controls; deliver reliable, production‑ready systems. - Mentor and coach junior engineers; promote best practices and continuous improvement. - Stay abreast of AI advancements (LLMs, embeddings, LangChain) and incorporate them into development life cycle. Required Skills: - Strong hands‑on experience with React, Tailwind CSS, Node.js, TypeScript. - Proven record in building scalable full‑stack applications. - Experience with microservices, modular architecture, REST/GraphQL APIs. - Middleware and orchestration experience (Tachyon, Temporal, etc.). - Data pipeline and distributed systems experience. - Database expertise: PostgreSQL, Snowflake, NoSQL, vector databases. - Cloud‑native knowledge: AWS, Docker, Kubernetes, Terraform, CI/CD. - Security awareness: secure coding, data privacy, compliance. - AI familiarity: LLMs, embeddings, LangChain, RAG. - Excellent communication and leadership abilities. Required Education & Certifications: - Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field (or equivalent professional experience). - Relevant cloud certifications (e.g., AWS Certified Solutions Architect, DevOps Engineer Preferred). - Optional certifications in AI/machine learning or security positively viewed.

London, United kingdom

Hybrid

09-01-2026