Data Platform Lead - Build AI-Ready, Scalable Data in Cardiff

Data Platform Lead - Build AI-Ready, Scalable Data in Cardiff

Cardiff Full-Time 70000 - 85000 £ / year (est.) No working from home possible
Admiral

At a Glance

  • Tasks: Lead the evolution of a data platform for analytics and AI capabilities.
  • Company: Join Veygo, a forward-thinking company focused on data innovation.
  • Benefits: Enjoy competitive pay, flexible work options, and growth opportunities.
  • Other info: Dynamic role with a mix of hands-on work and team development.
  • Why this job: Make a real impact by building scalable data solutions and coaching future tech leaders.
  • Qualifications: Experience in data engineering and strong leadership skills required.

The predicted salary is between 70000 - 85000 £ per year.

Veygo is seeking a Data Platform Lead to own and evolve the data platform that underpins analytics, reporting and AI-ready capabilities. You will combine hands-on engineering with people management to build scalable pipelines and governance, enabling teams to move faster with confidence.

In this player-coach role, you’ll spend ~70% crafting, building and improving the platform and ~30% coaching engineers, setting standards and partnering with stakeholders to ensure the platform evolves.

Data Platform Lead - Build AI-Ready, Scalable Data in Cardiff employer: Admiral

Admiral is an excellent employer, offering a vibrant work culture that prioritises employee well-being and development. With competitive benefits such as up to 38 days of holiday and opportunities for professional growth, this role as a Senior Looker & BI Platform Engineer allows you to thrive in an agile environment while collaborating with diverse teams to drive impactful improvements.

Admiral

Contact Details:

Admiral Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Platform Lead - Build AI-Ready, Scalable Data in Cardiff

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 Admiral!

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 Data Platform Lead - Build AI-Ready, Scalable Data at Admiral.

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 Admiral.

Apply Directly through Our Website

When you find a suitable opening like Data Platform Lead - Build AI-Ready, Scalable Data at Admiral, 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 Data Platform Lead - Build AI-Ready, Scalable Data in Cardiff

Data Engineering
Pipeline Development
Data Governance
Analytics
Reporting
AI-Ready Capabilities
People Management

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 Admiral, 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 Admiral. 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 Admiral

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 Admiral!

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.