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 employer: LiveScore Group
LiveScore Group is an exceptional employer that fosters a dynamic work culture in Greater London, offering a hybrid working model with Fridays off. Employees benefit from comprehensive perks such as private healthcare, enhanced family leave, and performance bonuses, alongside ample opportunities for professional growth and mentorship within a collaborative team environment focused on cutting-edge AI/ML technologies.
StudySmarter Expert Advice🤫
We think this is how you could land Real-Time Data Engineer (AI/ML) – Hybrid, Fridays Off
✨Tip Number 1
Network like a pro! Reach out to current employees at LiveScore Group on LinkedIn. A friendly chat can give us insights into the company culture and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a mini-project or a portfolio showcasing your real-time data solutions and AI/ML projects. This will help us stand out during interviews.
✨Tip Number 3
Practice makes perfect! Get comfortable with common interview questions for Data Engineers, especially those related to system design and mentoring. We want to be ready to impress!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we can keep track of our progress and follow up easily!
We think you need these skills to ace Real-Time Data Engineer (AI/ML) – Hybrid, Fridays Off
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Engineer role. Highlight your experience with real-time data solutions and any AI/ML projects you've worked on. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how you can contribute to our team. Don’t forget to mention your mentoring experience if you have any!
Showcase Relevant Projects:If you've worked on any relevant projects, make sure to include them in your application. We love seeing practical examples of your work, especially those that involve system design or AI/ML workloads.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates from us!
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
At the end of the interview, don’t forget to ask questions that show your interest in the company and the role. Inquire about their current projects, team dynamics, or how they measure success in this position.
