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- Tasks: Build scalable data solutions for real-time AI/ML workloads and mentor junior engineers.
- Company: Join LiveScore Group, a leader in sports and gaming innovation.
- Benefits: Enjoy a 4-day work week, competitive bonuses, private healthcare, and enhanced family leave.
- Other info: Be part of an inclusive team that values innovation and career growth.
- Why this job: Make an impact in the exciting world of sports and gaming while working with cutting-edge technology.
- Qualifications: Experience in data engineering and a passion for collaboration.
The predicted salary is between 60000 - 80000 £ per year.
LiveScore Group is seeking a Data Engineer in Greater London to develop scalable data solutions that enhance real-time AI/ML workloads. The role involves architecting data systems, mentoring junior engineers, and collaborating with cross-functional teams.
Additionally, the position offers a trial of a 4-day work week, competitive performance bonuses, and a variety of benefits like private healthcare and enhanced family leave. The team contributes to leading brands in the sports and gaming industry, emphasizing innovation and inclusivity.
Data Engineer – Real-Time AI/ML Pipelines (4-Day Week) employer: LiveScore Group
Contact Detail:
LiveScore Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer – Real-Time AI/ML Pipelines (4-Day Week)
✨Tip Number 1
Network like a pro! Reach out to current or former employees at LiveScore Group on LinkedIn. A friendly chat can give us insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio or a project that highlights your experience with real-time AI/ML pipelines. This will help us stand out during interviews.
✨Tip Number 3
Practice makes perfect! Get together with friends or fellow job seekers to do mock interviews. This will help us nail those tricky questions and boost our confidence.
✨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 Data Engineer – Real-Time AI/ML Pipelines (4-Day Week)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data systems 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 and how you can contribute to our innovative team at LiveScore Group.
Showcase Your Collaboration Skills: Since this role involves working with cross-functional teams, share examples of how you've successfully collaborated in the past. We love seeing teamwork in action!
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
Make sure you brush up on your data engineering skills, especially around real-time AI/ML pipelines. Be ready to discuss specific technologies and frameworks you've worked with, as well as how you've architected data systems in the past.
✨Showcase Your Mentoring Skills
Since the role involves mentoring junior engineers, think of examples where you've successfully guided others. Prepare to share how you approach teaching complex concepts and fostering a collaborative environment.
✨Collaborate Like a Pro
This position requires working with cross-functional teams, so be prepared to discuss your experience in collaboration. Think of instances where you've worked with different departments and how you ensured smooth communication and project success.
✨Embrace Innovation
LiveScore Group values innovation, so come equipped with ideas on how to enhance their data solutions. Research their current projects and think about how you can contribute to their mission of leading in the sports and gaming industry.