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 - 72000 € 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 employer: King
At King, we pride ourselves on being an exceptional employer, offering a vibrant work culture that fosters collaboration and innovation in the heart of Greater London. Our commitment to employee growth is evident through continuous learning opportunities and a supportive environment that encourages creativity in data engineering. Join us to be part of a dynamic team where your contributions directly impact our cutting-edge analytics and AI initiatives, all while enjoying the unique advantages of working in one of the world's most exciting cities.
StudySmarter Expert Advice🤫
We think this is how you could land Data Platform Engineer — Scale Data & AI Workloads
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working at King or similar companies. A friendly chat can open doors and give you insights that might just land you an interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data engineering projects, especially those involving cloud services and CI/CD practices. This will help us see your hands-on experience and problem-solving abilities.
✨Tip Number 3
Prepare for the technical interview! Brush up on Python and be ready to discuss your past projects. We want to see how you think and approach challenges, so practice explaining your thought process clearly.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Data Platform Engineer — Scale Data & AI Workloads
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 like GCP, AWS, or Azure.
Show Off Your Python Skills:Since strong Python skills are essential for this role, include specific examples of projects where you've used Python effectively. We love seeing how you’ve applied your coding skills in real-world scenarios!
Highlight CI/CD Experience:If you’ve got experience with CI/CD practices, make sure to mention it! We’re looking for candidates who can help us evolve our data platforms, and understanding these practices is key to that.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It’s the best way for us to keep track of your application and ensure it gets the attention it deserves!
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 practices. Be prepared to discuss how you've implemented these in your previous roles and how they can benefit the data engineering process.
✨Emphasise Collaboration
This role requires a collaborative mindset, so think of examples where you've worked well in a team. Highlight how you communicate with others and contribute to a positive team environment, especially in fast-paced settings.
