At a Glance
- Tasks: Build and manage cutting-edge data platforms for machine learning at DraftKings.
- Company: Join a leading digital sports entertainment company shaping the future of gaming.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on technical excellence and career advancement.
- Why this job: Be at the forefront of AI innovation and make a real impact in the gaming industry.
- Qualifications: 3+ years in ML or Data Engineering, with hands-on Databricks experience.
The predicted salary is between 70000 - 90000 £ per year.
At DraftKings, AI is becoming an integral part of both our present and future, powering how work gets done today, guiding smarter decisions, and sparking bold ideas. It’s transforming how we enhance customer experiences, streamline operations, and unlock new possibilities. Our teams are energized by innovation and readily embrace emerging technology. We’re not waiting for the future to arrive. We’re shaping it, one bold step at a time. To those who see AI as a driver of progress, come build the future together.
The Crown Is Yours
As a Senior Data Platform Engineer, you’ll help build the backbone of DraftKings’ machine learning capabilities. You’ll design, scale, and operate the Databricks and cloud infrastructure that powers automated, reproducible ML workflows across our business. This role blends platform ownership with deep infrastructure engineering – working shoulder to shoulder with Data Science, ML Engineering, and Infrastructure teams to deliver tools and systems that enable data‑driven decision‑making at scale.
What you’ll do as a Senior Data Platform Engineer:
- Own and operate our Databricks infrastructure to ensure performance, reliability, and cost‑efficiency.
- Build and manage cloud infrastructure using AWS and infrastructure‑as‑code tools like Terraform.
- Architect and document scalable systems that support reproducible and automated ML workflows.
- Collaborate with Data Scientists, Data Engineers, ML Engineers, and Infra partners to align platform features with business needs.
- Lead complex engineering projects from design through implementation and long‑term support.
- Continuously assess and improve platform usability, efficiency, and scalability based on industry best practices.
- Champion technical excellence through peer reviews, mentorship, and deep documentation.
What you’ll bring:
- At least 3+ years of experience in ML Platform, Data Platform, Infrastructure, or Data Engineering roles.
- Proven hands‑on experience with Databricks in a production environment.
- Strong knowledge of infrastructure‑as‑code, especially with Terraform or Pulumi.
- Proficiency with AWS and container technologies such as Docker and Kubernetes.
- Solid Python skills and familiarity with ML libraries and tooling (e.g., MLflow, pandas, scikit‑learn).
- A track record of owning and operating complex systems at scale.
- Strong communication skills with the ability to produce clear, technical documentation.
- Experience working cross‑functionally in fast‑paced, collaborative environments.
Company Overview: DraftKings Inc. (Nasdaq: DKNG) is a digital sports entertainment and gaming company headquartered in Boston. We are a publicly traded technology company committed to responsibly creating the world’s favorite games and betting experiences.
Senior Data Platform Engineer in London employer: National Geographic
At DraftKings, we pride ourselves on being an innovative employer that champions creativity and collaboration in the heart of Boston. Our vibrant work culture fosters continuous learning and growth, offering employees the chance to engage with cutting-edge technology while shaping the future of AI in gaming. With a commitment to excellence and a focus on employee well-being, we provide a dynamic environment where your contributions truly matter.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Platform Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at DraftKings. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! If you've got a portfolio or GitHub with projects related to Databricks or AWS, make sure to highlight them. Real-world examples of your work can set you apart from the crowd.
✨Tip Number 3
Prepare for the interview by brushing up on your technical knowledge. Be ready to discuss your experience with infrastructure-as-code and ML workflows. Confidence in your expertise will shine through!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining the DraftKings team.
We think you need these skills to ace Senior Data Platform Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Senior Data Platform Engineer. Highlight your experience with Databricks, AWS, and infrastructure-as-code tools like Terraform. We want to see how your skills align with what we’re looking for!
Showcase Your Projects:Include specific examples of projects where you’ve designed or operated cloud infrastructure or ML workflows. We love seeing real-world applications of your skills, so don’t hold back on the details!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about the role and how you can contribute to our mission at DraftKings. Let us know how you see AI shaping the future and your part in that journey.
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 receive your application and get you into our system quickly. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at National Geographic
✨Know Your Tech Inside Out
Make sure you’re well-versed in Databricks, AWS, and Terraform. Brush up on your Python skills and be ready to discuss how you've used these technologies in past projects. Being able to share specific examples will show that you’re not just familiar with the tools, but that you can leverage them effectively.
✨Showcase Your Collaboration Skills
Since this role involves working closely with Data Scientists and ML Engineers, be prepared to talk about your experience in cross-functional teams. Highlight any projects where you’ve collaborated to solve complex problems, as this will demonstrate your ability to work well in a fast-paced environment.
✨Prepare for Technical Questions
Expect to face technical questions that assess your understanding of infrastructure and machine learning workflows. Practice explaining your thought process when designing scalable systems and be ready to discuss best practices in platform usability and efficiency.
✨Communicate Clearly and Confidently
Strong communication is key, especially when it comes to producing clear technical documentation. During the interview, articulate your ideas clearly and confidently. This will not only help you convey your expertise but also show that you can mentor others and lead projects effectively.
