At a Glance
- Tasks: Design and operate a cutting-edge machine learning platform at DraftKings.
- Company: Join a leading tech company shaping the future of AI in gaming.
- Benefits: Competitive salary, innovative projects, and opportunities for growth.
- Other info: Collaborative environment with mentorship and career advancement opportunities.
- Why this job: Be at the forefront of AI technology and make a real impact.
- 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.
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. Working alongside Data Science, Machine Learning, Data Engineering, and Infrastructure partners, you’ll turn evolving use cases into durable platform capabilities. You’ll lead projects end to end, strengthening reliability, automation, and developer experience across the stack.
What you’ll do as a Lead Data Platform Engineer:
- 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.
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.
Lead 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 data platforms. 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, our vibrant city offers a dynamic environment that complements our commitment to shaping the future of gaming and technology together.
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, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to machine learning and data platforms. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions and be ready to discuss your past experiences in detail. Confidence is key!
✨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 are genuinely interested in joining our team at DraftKings.
We think you need these skills to ace Lead 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 Lead 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 innovative team!
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 mission to shape the future together.
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 build and operate machine learning platforms. We’re keen to see how you’ve turned ideas into impactful solutions in the past.
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 at DraftKings!
How to prepare for a job interview at DraftKings
✨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 discuss specific challenges you've faced in previous roles, particularly around reliability and performance tuning. 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 complex technical concepts in simple terms. This will demonstrate your ability to align cross-functional partners and ensure everyone is on the same page.
✨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 proactive about innovation.
