Engineering Tech Lead - Data & AI

Engineering Tech Lead - Data & AI

Full-Time 70000 - 90000 £ / year (est.) Hybrid
T

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 opportunities for continuous learning and career growth.
  • Why this job: Shape the future of AI in a collaborative environment with real impact on global businesses.
  • Qualifications: Experience in data engineering, cloud technologies, and a passion for AI and problem-solving.

The predicted salary is between 70000 - 90000 £ per year.

Hybrid (London) - Bonus + Great Benefits + Huge Scope for Impact

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, platform engineering or modern software development 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
  • Event-driven architectures and scalable systems

You'll 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'll enjoy building, improving and solving problems whilst helping others do the same.

Who We're Looking For

We're not looking for someone with 10 years of AI experience. The reality is, very few people have that. We're 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're 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'll 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 employer: The ECA International Group

ECA International is an exceptional employer for Software Engineers, offering a dynamic work environment that fosters collaboration and innovation. With a strong emphasis on employee growth, we provide opportunities for continuous learning and professional development, ensuring our team stays at the forefront of technology. Located in a vibrant area, our culture promotes teamwork and creativity, making it a rewarding place to contribute to impactful software solutions.

T

Contact Details:

The ECA International Group Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Engineering Tech Lead - Data & AI

✨Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like The ECA International Group!

✨Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Engineering Tech Lead - Data & AI at The ECA International Group.

✨Leverage Professional Networks

Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like The ECA International Group.

✨Apply Directly through Our Website

When you find a suitable opening like Engineering Tech Lead - Data & AI at The ECA International Group, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Engineering Tech Lead - Data & AI

AWS
Snowflake
S3
Postgres
Data Engineering
Platform Engineering
Data Orchestration Tools

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at The ECA International Group, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at The ECA International Group. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at The ECA International Group

✨Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

✨Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

✨Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at The ECA International Group!

✨Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.