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- Tasks: Lead the evolution of our data platform and integrate AI for innovative solutions.
- Company: Join a global leader in simplifying international mobility with a focus on innovation.
- Benefits: Enjoy flexible work, health benefits, and up to £1,000 for personal development.
- Other info: Be part of a diverse community that values your unique talents and promotes growth.
- Why this job: Shape the future of AI in a dynamic environment and make a real impact.
- Qualifications: Experience in data management and a passion for AI technologies.
The predicted salary is between 60000 - 84000 £ per year.
Data platform evolution: Take our current AWS/Snowflake/S3/Postgres setup and enable AI/RAG, product consumption, and multi-tenant access. Work with the Technical Architect to keep this aligned with our event-driven and security model.
Data acquisition & ingestion: Design multi-source ingestion (APIs, scraping/crawling, file drops, crowdsourcing, agent-based pipelines). Make it observable, repeatable, and documented so research and analytics can plug in new sources without rework.
AI as a consumption layer: Build LLM/RAG endpoints on top of our data and content as a service. Expose these services to Data Insights to enable users to ask, explore, and generate insights - not only download reports.
Partnering with Analytics: Give the research teams clean, modelled, well-documented data. Turn one-off work into scheduled, production jobs.
Guardrails, governance, and quality: Keep AI-generated code within SDLC, code review, and security bounds. Ensure data and AI services are audited and tenant aware.
Team leadership: Lead a small technical team (data/AI/ingestion). Promote AI-native ways of working across product, data, and engineering. Manage and mentor your engineering team, fostering a collaborative, high-performance environment with excellent productivity. Demonstrate hands-on technical excellence while modelling accountability, critical thinking, and AI-first practices. Set clear objectives, provide regular feedback, conduct performance reviews.
Delivery & Accountability: Take full accountability for the delivery of high-quality software products, owning both successes and challenges. Drive outcome focused delivery planning and execution, measuring success by business impact rather than effort or hours invested. Proactively identify and mitigate risks, making critical decisions to keep projects on track.
Technical Direction & Architecture: Guide technical direction, establish best practices, and ensure architectural decisions support scalability, maintainability and business goals. Be a hands-on contributor for architecting and building well-tested, maintainable applications. Optimise tech stacks and development workflows to maximise team productivity.
Agile & Product Collaboration: Ensure Agile ceremonies (sprint planning, retrospectives, stand-ups) are followed and continuously refine Agile practices to optimise team performance. Collaborate with product owners and stakeholders to develop and maintain technical roadmaps that align with business strategy. Work with product owners to build and maintain a prioritised backlog that balances business value, technical debt and innovation.
Quality & Continuous Improvement: Enforce rigorous quality standards including test-driven development (TDD), code reviews, and automated testing. Ensure that security best practices are followed to the highest standards. Foster a culture of experimentation, learning and continuous improvement. Use data and metrics to drive decisions and demonstrate improvement in team velocity, quality and business outcomes.
The Ideal Candidate
- Data-first mindset: You understand how data arrives in an organisation: via APIs, files, partner feeds, human/crowd sourced inputs or from the internet and that each of those has different latency, quality, and governance needs. You’re comfortable with: AWS (core services, IAM basics, networking good practice), Snowflake (or similar cloud data warehouse), Amazon S3 for landing/staging data, Postgres (including JSONB/dynamic fields), Event-driven patterns for efficient and effective data pipeline management.
- AI-positive, not AI-sceptic: This role is for someone who is genuinely enthusiastic about AI/LLMs/agents, is actively learning (even in their own time), and can translate AI concepts (RAG, agents, tools, function calling, model evaluation, private models) into working, secure services.
- Enterprise-aware: We have clients, tenants, and compliance, so you will design with security, PII and tenancy in mind, accept governance and SDLC gates as part of making AI safe and still find a way to deliver fast.
- Builder + Manager: You’re happy to open the IDE and build the pipeline, but you can also run a small team, set standards, review code, and coach people into AI-native ways of working.
About the Job: This is an exciting role for someone who wants to help shape a real transition to an AI-native company. We are already using AI in delivery and AI tools for software development including code generation, and we have guardrails and governance in place. Your job is to make that scale across data acquisition, ingestion, storage, and AI-powered consumption inside an enterprise, multi-tenant environment. You will take an existing data platform (AWS, Snowflake, S3, Postgres, event-driven services) and make it product-facing and AI-ready focusing on new Data Production delivery and Data Insights experiences.
What’s in it for you: 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.
Engineering Manager - Data & AI in City of Westminster employer: ECA International Ltd
Contact Detail:
ECA International Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Engineering Manager - Data & AI in City of Westminster
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the industry. Attend meetups, webinars, or even just grab a coffee with someone who’s already in the role you want. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those related to data and AI. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios specific to engineering management. Think about how you’d lead a team through challenges or implement AI solutions. Confidence is key, so rehearse until you feel ready to shine!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search. So, hit that apply button and let’s get the conversation started!
We think you need these skills to ace Engineering Manager - Data & AI in City of Westminster
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience with data platforms, AI, and team leadership. We want to see how your skills align with our needs, so don’t be shy about showcasing relevant projects!
Show Your Passion for AI: We’re looking for someone who’s genuinely excited about AI and its potential. Share any personal projects or learning experiences related to AI/LLMs that demonstrate your enthusiasm and commitment to staying updated in this fast-evolving field.
Be Clear and Concise: When writing your application, keep it straightforward and to the point. Use bullet points where possible to make your achievements stand out. We appreciate clarity, especially when it comes to your technical skills and past experiences.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at ECA International Ltd
✨Know Your Tech Stack
Make sure you’re well-versed in AWS, Snowflake, S3, and Postgres. Brush up on how these technologies work together, especially in an event-driven architecture. Being able to discuss your experience with these tools will show that you're ready to hit the ground running.
✨Show Your AI Enthusiasm
This role is all about AI, so be prepared to share your passion for it! Talk about any personal projects or learning experiences you've had with AI/LLMs. Demonstrating your enthusiasm can set you apart from other candidates.
✨Prepare for Team Leadership Questions
As a potential Engineering Manager, expect questions about team dynamics and leadership. Think of examples where you’ve successfully led a team, mentored others, or implemented AI-native practices. Highlighting your management style and how you foster collaboration will be key.
✨Understand Governance and Compliance
Since this role involves working with sensitive data, be ready to discuss how you approach security and compliance. Familiarise yourself with governance frameworks and be prepared to explain how you would ensure that AI services are safe and compliant while still delivering quickly.