At a Glance
- Tasks: Design and manage Databricks infrastructure, optimising machine learning workflows.
- Company: Join DraftKings, a leading name in the gaming industry.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Other info: Exciting role with potential for career advancement in a dynamic environment.
- Why this job: Take ownership of systems and collaborate across teams to drive innovation.
- Qualifications: 5+ years experience in Python, AWS, and Terraform required.
The predicted salary is between 70000 - 98000 £ per year.
DraftKings is looking for a Lead Data Platform Engineer to design and manage the Databricks infrastructure, optimizing machine learning workflows.
With at least 5 years of experience, candidates should have strong skills in Python and familiarity with AWS and Terraform.
This position demands ownership of systems end-to-end, ensuring performance and reliability while collaborating with teams across the organization.
As a regulated company, obtaining a gaming license may be necessary.
Senior ML Platform Engineer — Databricks & AWS in London employer: National Geographic
DraftKings is an exceptional employer that fosters a dynamic and innovative work culture, where creativity and collaboration thrive. Employees benefit from comprehensive growth opportunities, competitive compensation, and the chance to work with cutting-edge technologies in a fast-paced environment. Located in a vibrant area, DraftKings offers a unique blend of professional development and a supportive community, making it an ideal place for those seeking meaningful and rewarding careers in technology.
StudySmarter Expert Advice🤫
We think this is how you could land Senior ML Platform Engineer — Databricks & AWS in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working at companies like DraftKings. 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 projects, especially those involving Databricks, AWS, and machine learning workflows. This will help us see your hands-on experience and problem-solving abilities.
✨Tip Number 3
Prepare for technical interviews by brushing up on Python and Terraform. We recommend doing mock interviews with friends or using online platforms to get comfortable with the types of questions you might face.
✨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 take the initiative to connect directly with us.
We think you need these skills to ace Senior ML Platform Engineer — Databricks & AWS in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Databricks, AWS, and Python. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about optimising machine learning workflows and how your background makes you a perfect fit for our team at StudySmarter.
Showcase Your Problem-Solving Skills:In your application, give examples of how you've tackled challenges in previous roles. We love seeing candidates who take ownership and can demonstrate their ability to ensure performance and reliability in systems.
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 National Geographic
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python, AWS, and Terraform. Brush up on your knowledge of Databricks and be ready to discuss how you've used these technologies in past projects. Being able to share specific examples will show your expertise and confidence.
✨Showcase Your Problem-Solving Skills
Prepare to discuss challenges you've faced in optimising machine learning workflows. Think about how you approached these problems and the solutions you implemented. This will demonstrate your ability to take ownership of systems and ensure performance and reliability.
✨Collaboration is Key
Since this role involves working with various teams, be ready to talk about your experience collaborating with others. Share examples of how you’ve worked cross-functionally to achieve common goals, as this will highlight your teamwork skills and adaptability.
✨Understand the Regulatory Landscape
Familiarise yourself with the gaming industry regulations, especially if a gaming license is required. Showing that you understand the compliance aspects of the role can set you apart from other candidates and demonstrate your commitment to the company's values.
