At a Glance
- Tasks: Design and operate cutting-edge Databricks infrastructure for machine learning workflows.
- Company: Join DraftKings, a leading tech company shaping the future of AI in gaming.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with exciting projects and career advancement opportunities.
- Why this job: Be at the forefront of AI innovation and make a real impact on customer experiences.
- Qualifications: 3+ years in ML or Data Engineering, strong skills in Databricks and AWS.
The predicted salary is between 60000 - 80000 € 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.
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.
We’re a publicly traded (NASDAQ: DKNG) technology company headquartered in Boston. As a regulated gaming company, you may be required to obtain a gaming license issued by the appropriate state agency as a condition of employment. Don’t worry, we’ll guide you through the process if this is relevant to your role.
Senior Data Platform Engineer in London employer: DraftKings
At DraftKings, we pride ourselves on being at the forefront of innovation in the tech industry, particularly in AI and machine learning. Our collaborative work culture fosters creativity and growth, providing employees with ample opportunities to develop their skills while working on cutting-edge projects. Located in Boston, a hub for technology and talent, we offer a dynamic environment where your contributions directly impact our mission to shape the future of gaming.
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 job descriptions just can't.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your projects, especially those involving Databricks and AWS. This gives you a chance to demonstrate your expertise beyond the CV.
✨Tip Number 3
Prepare for the interview by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts simply, as communication is key when working with cross-functional teams.
✨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 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 reflects the skills and experiences that align with the Senior Data Platform Engineer role. Highlight your hands-on experience with Databricks, AWS, and infrastructure-as-code tools like Terraform. We want to see how you can contribute to our mission!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background makes you a perfect fit for DraftKings. We love seeing enthusiasm and a clear understanding of our goals.
Showcase Your Projects:If you've worked on relevant projects, don’t hold back! Include links or descriptions of your work that demonstrate your ability to design and operate complex systems. We’re keen to see your problem-solving skills 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’re considered for the role. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at DraftKings
✨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. The more specific examples you can provide, the better!
✨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. Share examples of how you’ve successfully collaborated on complex projects and how you’ve aligned technical solutions with business needs.
✨Prepare for Technical Questions
Expect some deep-dive technical questions during the interview. Review common infrastructure challenges and be ready to discuss how you would approach them. Think about scalability, reliability, and cost-efficiency in your answers.
✨Demonstrate Your Passion for Innovation
DraftKings is all about shaping the future with AI. Show your enthusiasm for emerging technologies and how you’ve embraced innovation in your previous roles. Discuss any personal projects or research that highlight your commitment to staying ahead in the tech landscape.
