Senior Data Platform Engineer — ML Infra & Databricks in London

Senior Data Platform Engineer — ML Infra & Databricks in London

London Full-Time 60000 - 80000 £ / year (est.) Home office (partial)
National Geographic

At a Glance

  • Tasks: Own and operate Databricks infrastructure while building cloud solutions with AWS and Terraform.
  • Company: Join DraftKings, a leader in gaming technology and innovation.
  • Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
  • Other info: Dynamic team environment with exciting projects and career advancement.
  • Why this job: Shape the future of gaming technology and enhance data capabilities.
  • Qualifications: 3+ years experience, strong Python skills, and knowledge of ML libraries.

The predicted salary is between 60000 - 80000 £ per year.

DraftKings is looking for a Senior Data Platform Engineer to enhance our data capabilities. In this role, you will own and operate the Databricks infrastructure, ensuring its performance and reliability. You’ll build cloud infrastructure with AWS and Terraform while leading engineering projects from design to implementation.

The ideal candidate should have 3+ years of relevant experience, strong skills in Python, and knowledge of ML libraries. Join us and shape the technology driving our gaming experiences.

Senior Data Platform Engineer — ML Infra & Databricks in London employer: National Geographic

DraftKings is an exceptional employer that fosters a dynamic and innovative work culture, where creativity and collaboration thrive. With a strong focus on employee growth, we offer numerous opportunities for professional development and advancement in the fast-paced tech landscape of gaming. Located in a vibrant environment, our team enjoys competitive benefits and the chance to shape cutting-edge technology that enhances user experiences.

National Geographic

Contact Details:

National Geographic Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Data Platform Engineer — ML Infra & Databricks in London

Tip Number 1

Network like a pro! Reach out to folks in the industry, especially those working with Databricks or AWS. 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 Python and ML libraries. This is your chance to demonstrate what you can bring to the table beyond just a CV.

Tip Number 3

Prepare for technical interviews by brushing up on your cloud infrastructure knowledge. Practice coding challenges related to data engineering and be ready to discuss your experience with Terraform and Databricks.

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 that extra step to connect with us directly.

We think you need these skills to ace Senior Data Platform Engineer — ML Infra & Databricks in London

Databricks
AWS
Terraform
Python
Machine Learning Libraries
Cloud Infrastructure
Performance Optimisation

Some tips for your application 🫡

Tailor Your CV:Make sure your CV highlights your experience with Databricks, AWS, and Terraform. We want to see how your skills align with the role, so don’t be shy about showcasing your Python prowess and any ML libraries you’ve worked with!

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 your background makes you a perfect fit. We love seeing passion and personality, so let us know what drives you in the tech world.

Showcase Your Projects:If you've led engineering projects or built cloud infrastructure, make sure to mention them! We’re keen on seeing real-world examples of your work, especially those that demonstrate your ability to enhance data capabilities.

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’s super easy – just a few clicks and you’re done!

How to prepare for a job interview at National Geographic

Know Your Tech Stack

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 ML libraries in past projects. This will show that you’re not just familiar with the tools but can also leverage them effectively.

Showcase Your Project Experience

Prepare to talk about specific engineering projects you've led from design to implementation. Highlight challenges you faced and how you overcame them, especially in relation to data infrastructure. This will demonstrate your hands-on experience and problem-solving abilities.

Understand the Company’s Vision

Research DraftKings and their gaming technology. Understand how data plays a role in enhancing user experiences. Being able to connect your skills to their goals will make you stand out as a candidate who is genuinely interested in the position.

Ask Insightful Questions

Prepare thoughtful questions about the team, the projects you'll be working on, and the company culture. This shows your enthusiasm for the role and helps you gauge if it’s the right fit for you. Plus, it gives you a chance to engage in a two-way conversation.