At a Glance
- Tasks: Lead the evolution of our data platform into an AI-ready ecosystem and mentor a small team.
- Company: Join ECA International, a global leader in international mobility and AI innovation.
- Benefits: Enjoy a competitive salary, annual bonus, flexible working, and a £1,000 learning budget.
- Other info: Dynamic role with huge scope for impact and career growth opportunities.
- Why this job: Shape the future of AI in a collaborative environment with real impact on global businesses.
- Qualifications: Experience in data engineering, AWS, and a passion for AI and continuous learning.
The predicted salary is between 70000 - 90000 £ per year.
Help shape the future of AI at ECA International. We are 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. We are looking for an Engineering Tech Lead - Data & AI to help us scale that capability further.
You will 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 will 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 will likely have a background in data engineering, platform engineering or modern software development and be excited by the opportunities AI is creating. You will 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
- Event-driven architectures and scalable systems
You will understand how data enters an organisation through APIs, files, partner feeds and external sources, and appreciate the governance, quality and operational challenges that come with each. Most importantly, you will enjoy building, improving and solving problems whilst helping others do the same.
Who We're Looking For
We are not looking for someone with 10 years of AI experience. The reality is, very few people have that. We are looking for someone who is genuinely enthusiastic about AI, actively learning, experimenting and applying it to real-world problems today. Someone who understands both the opportunities and responsibilities that come with bringing AI into an established enterprise environment. You don't need to know everything. We are looking for curiosity, strong technical foundations and a genuine desire to keep learning.
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
Benefits
Why Join ECA?
This is an opportunity to join a business that is investing heavily in data, technology and AI. You will work alongside talented colleagues in a collaborative environment where innovation is encouraged, learning is supported and your contribution will have visible impact.
Benefits include:
- 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 remote or 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.
Engineering Tech Lead - Data & AI in Slough employer: The ECA International Group
ECA International is an exceptional employer that champions innovation and collaboration in the rapidly evolving field of AI and data engineering. With a strong commitment to employee growth, you will benefit from a generous learning and development budget, flexible working arrangements, and a supportive work culture that values your contributions. Join us in London to make a significant impact on the future of AI while enjoying competitive benefits and a vibrant team environment.
Contact Details:
The ECA International Group Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Engineering Tech Lead - Data & AI in Slough
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects related to data engineering and AI. This gives you a chance to demonstrate your hands-on experience and passion for the field.
✨Tip Number 3
Prepare for interviews by brushing up on technical concepts and common questions in data and AI. Practice explaining your thought process and problem-solving approach, as this will help you stand out during discussions.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you're genuinely interested in joining our team at ECA International.
We think you need these skills to ace Engineering Tech Lead - Data & AI in Slough
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Engineering Tech Lead role. Highlight your experience with AWS, Snowflake, and data engineering 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 AI and how your background makes you a great candidate. Share specific examples of projects you've worked on that relate to the job description.
Showcase Your Technical Skills:In your application, don't shy away from mentioning your technical expertise. We want to see your hands-on experience with data platforms and event-driven architectures, so make it clear!
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 The ECA International Group
✨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 orchestration tools and event-driven architectures, as these will likely come up during the interview.
✨Show Your Passion for AI
ECA International is looking for someone enthusiastic about AI. Be prepared to discuss your experiences with AI, any projects you've worked on, and how you see AI evolving in the industry. Share your curiosity and willingness to learn more about AI applications.
✨Prepare for Problem-Solving Questions
Expect to face technical challenges or scenarios during the interview. Practice explaining your thought process when solving complex problems, especially those related to data engineering and AI. This will showcase your hands-on experience and critical thinking skills.
✨Emphasise Team Leadership Skills
Since the role involves managing and mentoring a small team, be ready to discuss your leadership style and experiences. Share examples of how you've supported others in their learning and development, and how you drive engineering standards and quality within a team.
