At a Glance
- Tasks: Operate and evolve data platforms for analytics and AI workflows.
- Company: Join King, a leading company in the gaming industry.
- Benefits: Competitive salary, flexible working options, and career development opportunities.
- Other info: Fast-paced environment with a focus on collaboration and growth.
- Why this job: Be part of a dynamic team driving innovation in data and AI.
- Qualifications: 2+ years in platform or data engineering with strong Python skills.
The predicted salary is between 60000 - 80000 € per year.
King in Greater London is looking for a motivated Data Platform Engineer to join their Data Foundations team. The role involves operating and evolving shared data platforms that drive analytics and AI workflows.
Candidates should have at least two years of experience in platform or data engineering, familiarity with cloud services (GCP, AWS, Azure), and knowledge of CI/CD practices. Strong Python skills and a collaborative mindset are essential for this fast-paced environment.
Data Platform Engineer — Scale Data & AI Workloads in London employer: King
At King, we pride ourselves on fostering a dynamic and inclusive work culture that empowers our employees to thrive. As a Data Platform Engineer in Greater London, you will benefit from a collaborative environment that encourages innovation and professional growth, alongside competitive benefits and opportunities to work on cutting-edge data and AI projects. Join us to be part of a team that values creativity and teamwork, making a meaningful impact in the gaming industry.
StudySmarter Expert Advice🤫
We think this is how you could land Data Platform Engineer — Scale Data & AI Workloads in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving data platforms and AI workflows. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your Python skills and understanding CI/CD practices. We recommend doing mock interviews with friends or using online platforms to get comfortable with common questions.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Platform Engineer — Scale Data & AI Workloads in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in platform or data engineering. We want to see how your skills align with the role, so don’t be shy about showcasing your familiarity with cloud services and CI/CD practices!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about the Data Platform Engineer role and how your strong Python skills can contribute to our team. Let us know what makes you tick!
Showcase Your Collaborative Spirit:Since we thrive in a fast-paced environment, it’s important to demonstrate your collaborative mindset. Share examples of how you’ve worked effectively with others in previous roles, especially in data-driven projects.
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 updates. Plus, it shows you’re keen to join our team!
How to prepare for a job interview at King
✨Know Your Data Platforms
Make sure you brush up on your knowledge of shared data platforms, especially those that drive analytics and AI workflows. Be ready to discuss your experience with cloud services like GCP, AWS, or Azure, as well as how you've used them in past projects.
✨Show Off Your Python Skills
Since strong Python skills are essential for this role, prepare to showcase your coding abilities. You might be asked to solve a problem or explain a project where you used Python effectively, so have some examples ready.
✨Understand CI/CD Practices
Familiarise yourself with Continuous Integration and Continuous Deployment (CI/CD) practices. Be prepared to discuss how you've implemented these in your previous roles and how they can improve the efficiency of data engineering processes.
✨Emphasise Collaboration
This role requires a collaborative mindset, so think of examples where you've worked successfully in a team. Highlight how you communicate with others, resolve conflicts, and contribute to a positive team environment.
