At a Glance
- Tasks: Architect data solutions for real-time AI/ML workloads and mentor junior engineers.
- Company: Join LiveScore Group, a leading tech company in Greater London.
- Benefits: Enjoy hybrid working, private healthcare, enhanced family leave, and performance bonuses.
- Other info: Dynamic work environment with opportunities for growth and innovation.
- Why this job: Make an impact in AI/ML while enjoying Fridays off and a supportive team.
- Qualifications: Experience in data engineering and a passion for mentoring.
The predicted salary is between 50000 - 70000 £ per year.
LiveScore Group in Greater London is seeking a Data Engineer to join their Data Team. This role involves architecting data solutions for real-time AI/ML workloads, mentoring junior engineers, and contributing to system design.
The company offers hybrid working with three days in the office and several attractive benefits including private healthcare, enhanced family leave, and a performance bonus.
Real-Time Data Engineer (AI/ML) – Hybrid, Fridays Off in London employer: LiveScore Group
Contact Detail:
LiveScore Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Real-Time Data Engineer (AI/ML) – Hybrid, Fridays Off in London
✨Tip Number 1
Network like a pro! Reach out to current employees at LiveScore Group on LinkedIn. A friendly chat can give us insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a project that highlights your experience with real-time data solutions and AI/ML. This will make you stand out during interviews.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on your data engineering concepts and algorithms. We can even help you with study materials if you need them!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Real-Time Data Engineer (AI/ML) – Hybrid, Fridays Off in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with real-time data solutions and AI/ML workloads. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the Data Engineer position at LiveScore Group and how you can contribute to the team. Keep it engaging and personal.
Showcase Your Mentoring Skills: Since mentoring junior engineers is part of the gig, share any experiences you have in guiding others. We love to see how you can help grow the team while also developing your own skills!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at LiveScore Group
✨Know Your Data Stuff
Make sure you brush up on your knowledge of real-time data processing and AI/ML concepts. Be ready to discuss specific technologies you've worked with, like Apache Kafka or Spark, and how you've applied them in past projects.
✨Show Off Your Mentoring Skills
Since mentoring junior engineers is part of the role, think of examples where you've guided others. Prepare to share how you approach teaching complex concepts and fostering a collaborative environment.
✨Understand System Design
Be prepared to talk about system architecture and design principles. You might be asked to sketch out a solution for a hypothetical problem, so practice explaining your thought process clearly and logically.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the team dynamics, the company's approach to AI/ML, and how they measure success in this role. This shows your genuine interest and helps you gauge if it's the right fit for you.