At a Glance
- Tasks: Build and operate data pipelines in AWS for football analytics.
- Company: Football Radar, a leader in sports data analytics.
- Benefits: Competitive salary, flexible working hours, and opportunities for growth.
- Other info: Exciting projects with a focus on innovation and collaboration.
- Why this job: Join a dynamic team and shape the future of football insights.
- Qualifications: Hands-on AWS experience and strong software fundamentals required.
The predicted salary is between 54000 - 66000 £ per year.
Football Radar is seeking a Data Platform Engineer in City of London to build and operate the data foundations that power our football analytics and betting insights.
You’ll own reusable data pipelines and cloud infrastructure, focusing on reliability, cost, and accessibility for data scientists.
Ideal candidates have hands-on cloud engineering experience in AWS, strong software fundamentals, and a pragmatic approach to solving loosely defined problems.
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Data Platform Engineer - Build Data Pipelines in AWS in London employer: Football Radar
Football Radar is an exceptional employer that combines the dynamic environment of a start-up with the stability of a well-established business, making it an ideal place for a Senior Data Platform Engineer to thrive. With a strong focus on employee growth and collaboration, you will have the opportunity to work closely with a small, agile team on real-world football data challenges, while enjoying a culture that values innovation and ownership. Our commitment to providing a supportive work environment, along with access to unique datasets and cutting-edge cloud technologies, ensures that your contributions will be meaningful and impactful.
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We think this is how you could land Data Platform Engineer - Build Data Pipelines in AWS in London
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Data Platform Engineer - Build Data Pipelines in AWS in London
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 Football Radar, 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 Football Radar. 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 Football Radar
✨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 Football Radar!
✨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.
