At a Glance
- Tasks: Lead the design and build of scalable backend services for immersive sports.
- Company: Join a pioneering company shaping the future of sports technology.
- Benefits: Competitive salary, growth opportunities, and a chance to work with cutting-edge AI.
- Other info: Clear pathway to advance to Head of Data Engineering as the team grows.
- Why this job: Take ownership of innovative projects and drive AI integration in a dynamic environment.
- Qualifications: Experience in backend systems, Python, AWS, and a passion for AI.
The predicted salary is between 80000 - 100000 £ per year.
Help shape the future of immersive sports with a clear pathway to grow into Head of Data Engineering as the platform and team scale. We're looking for a Lead Data Engineer to build and scale the platform powering a next‑generation immersive sports experience. This is a hands‑on role with real ownership, where you'll lead backend architecture, cloud infrastructure and platform reliability while helping define the future of our technology. We're looking for someone who is also an AI enabler—an engineer who champions AI across the business, embeds intelligent automation into products and workflows, and uses modern AI tools to accelerate engineering and innovation.
What you'll do:
- Design and build scalable backend services in Python (FastAPI or similar).
- Own cloud infrastructure across AWS (GCP experience a bonus).
- Build secure APIs, event‑driven systems and low‑latency services.
- Deliver resilient platforms capable of handling high‑volume, real‑time traffic.
- Champion AI adoption by integrating LLMs, AI services and automation into products and engineering workflows.
- Manage CI/CD pipelines and work closely with product, data and client teams.
What we're looking for:
- Proven experience building and operating production backend systems at scale.
- Strong Python, Postgres, API design and AWS expertise.
- Experience with Redis, CI/CD and cloud‑native architectures.
- A genuine AI advocate with experience using AI to improve developer productivity, automate workflows and deliver smarter products.
- Pragmatic, collaborative and excited by building from the ground up.
Lead Data Engineer employer: Interact Consulting Ltd
Join a forward-thinking company at the forefront of immersive sports technology, where your role as Lead Data Engineer offers not just a job, but a clear pathway to advance into Head of Data Engineering. With a culture that champions innovation and collaboration, you'll have the opportunity to work with cutting-edge AI tools, build scalable systems, and contribute to a dynamic team dedicated to redefining the sports experience. Enjoy a supportive environment that prioritises employee growth and embraces the latest technologies in a vibrant location.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Engineer
✨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 Interact Consulting Ltd!
✨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 Lead Data Engineer at Interact Consulting Ltd.
✨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 Interact Consulting Ltd.
✨Apply Directly through Our Website
When you find a suitable opening like Lead Data Engineer at Interact Consulting Ltd, 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 Lead Data Engineer
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 Interact Consulting Ltd, 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 Interact Consulting Ltd. 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 Interact Consulting Ltd
✨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 Interact Consulting Ltd!
✨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.
