At a Glance
- Tasks: Design and operate a cutting-edge machine learning platform at DraftKings.
- Company: Join a leading digital sports entertainment company shaping the future of gaming.
- Benefits: Competitive salary, global opportunities, and a culture of innovation.
- Other info: Dynamic work environment with mentorship and career growth opportunities.
- Why this job: Be at the forefront of AI technology and make a real impact in sports entertainment.
- Qualifications: 5+ years in data or infrastructure engineering with strong Python skills.
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.
DraftKings Inc. (Nasdaq: DKNG) is a digital sports entertainment and gaming company. We’re a publicly traded company headquartered in Boston, with offices around the globe, and we are committed to responsibly creating the world’s favorite games and betting experiences.
As a Lead Data Platform Engineer, you’ll design, build, and operate the machine learning platform and Databricks infrastructure that powers scalable, reliable data science at DraftKings. You’ll own the backbone that makes model development, training, and deployment fast, repeatable, and cost‑aware so teams can move from ideas to impact without friction.
What You’ll Do
- Own and operate Databricks infrastructure with a focus on reliability, scalability, performance, and cost optimization.
- Build and manage cloud infrastructure on Amazon Web Services using infrastructure‑as‑code tools like Terraform.
- Author and review technical designs that enable scalable, automated, and reproducible machine learning workflows.
- Partner closely with data scientists, data engineers, machine learning engineers, and infrastructure teams to align platform capabilities to real‑world needs.
- Drive engineering initiatives from technical planning through delivery, production rollout, and long‑term maintenance.
- Stay current on data platform and machine learning platform trends, applying best practices that improve platform efficiency, usability, and governance.
- Coach and mentor teammates, raising the bar through strong technical feedback, thoughtful enablement, and shared ownership.
What You’ll Bring
- At least 5 years of experience in machine learning platform, data platform, data engineering, or infrastructure engineering roles.
- Hands‑on experience administering and operating Databricks in production environments.
- Deep familiarity with infrastructure as code, including Terraform or Pulumi, and proven ability to manage change safely at scale.
- Experience with AWS, Docker, Kubernetes, and continuous integration and continuous delivery pipelines.
- Strong Python skills and familiarity with machine learning tooling such as MLflow, pandas, and scikit‑learn.
- A track record of owning complex systems end to end, including reliability improvements, incident follow‑up, and performance tuning.
- Clear, confident communication skills, including strong technical documentation and the ability to align cross‑functional partners.
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. We’ll guide you through the process if this is relevant to your role.
Headquartered in Boston, with offices around the globe, we believe we can continue to define what it means to be a technology company in sports entertainment.
Lead Data Platform Engineer in London employer: National Geographic
DraftKings is an exceptional employer that fosters a culture of innovation and collaboration, making it an ideal place for a Lead Data Platform Engineer to thrive. With a commitment to employee growth, you will have the opportunity to work with cutting-edge technology in a dynamic environment while being supported by a team that values your contributions. Located in Boston, our headquarters offers a vibrant atmosphere where creativity and forward-thinking are encouraged, ensuring that you can make a meaningful impact in the world of digital sports entertainment.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Platform Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at DraftKings. LinkedIn is your best mate here – drop them a message, ask about their experiences, and see if they can give you the inside scoop on the company culture.
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Since you're aiming for a Lead Data Platform Engineer role, make sure you can talk confidently about Databricks, AWS, and infrastructure as code. Practice explaining complex concepts in simple terms – it’ll impress the interviewers!
✨Tip Number 3
Showcase your projects! If you've worked on any relevant machine learning or data platform projects, be ready to discuss them in detail. Highlight your role, the challenges you faced, and how you overcame them. This will demonstrate your hands-on experience and problem-solving skills.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in being part of the DraftKings team. Let’s get you that dream job!
We think you need these skills to ace Lead Data Platform Engineer in London
Some tips for your application 🫡
Show Your Passion for AI:When you're writing your application, let your enthusiasm for AI and data platforms shine through. We want to see how you view AI as a driver of progress and how you can contribute to shaping the future with us.
Tailor Your Experience:Make sure to highlight your relevant experience in machine learning and data engineering. We’re looking for specific examples of how you've owned complex systems and improved their reliability and performance. This is your chance to show us what you’ve got!
Be Clear and Concise:We appreciate clear communication, so keep your application straightforward and to the point. Use bullet points where possible to make it easy for us to see your skills and achievements at a glance.
Apply Through Our Website:Don’t forget to apply 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 at DraftKings.
How to prepare for a job interview at National Geographic
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, especially Databricks, AWS, and Terraform. Brush up on your Python skills and be ready to discuss how you've used these tools in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled complex systems and improved reliability or performance. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your impact.
✨Communicate Clearly and Confidently
Since the role involves partnering with various teams, practice explaining technical concepts in a way that’s easy to understand. Be ready to demonstrate your documentation skills and how you’ve aligned cross-functional partners in previous roles.
✨Stay Current with Industry Trends
Research the latest trends in data platforms and machine learning. Be prepared to discuss how you can apply best practices to improve platform efficiency and usability at DraftKings, showing that you’re not just a fit for the role but also passionate about the industry.
