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Senior Data Platform Engineer

DraftKings (Employee Referral Portal) Open
Remote United Kingdom Full-time Senior Data Engineering

At a glance

Senior Data Engineering role at DraftKings (Employee Referral Portal). Remote, United Kingdom · full-time · no salary stated · we estimate £66,500–£96,000 across the United Kingdom.

Estimated pay

DraftKings (Employee Referral Portal) has not published a salary for this role. The figure below is our estimate, not theirs.

£66,500 – £96,000
What the middle half of senior data engineering roles in the United Kingdom paid, among postings that did state a salary.
Worked out from 21 postings that stated pay, median £90,000. Last updated Nov 12, 2026.
RoleData Engineering
SenioritySenior
LocationUnited Kingdom
WorkplaceRemote
EmploymentFull-time
PostedNov 2, 2026
Role brief

remoteroles summary, based on the employer's posting.

What you'll do

  • Run Databricks infrastructure, keeping its performance, reliability and costs in check
  • Build AWS cloud environments with Terraform or other infrastructure-as-code tools
  • Design and document scalable systems for repeatable, automated machine-learning workflows
  • Lead engineering projects from initial design through delivery and ongoing support
  • Improve platform usability and scale, while reviewing peers’ work and mentoring engineers

What you bring

  • At least three years in ML platform, data platform, infrastructure or data engineering roles
  • Hands-on experience operating Databricks in a production setting
  • Strong infrastructure-as-code skills, particularly with Terraform or Pulumi
  • Proficiency in AWS, Docker or Kubernetes, and Python, plus familiarity with ML tooling

Who this fits

This senior role suits an engineer who can own complex platforms and work with data science, data engineering, ML engineering and infrastructure teams. The position is remote in the United Kingdom. A gaming license from the relevant state agency may be required as a condition of employment.

From the employer

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

Join Our Team

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.

Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data EngineeringRemote

Find me work

By the team behind remoteroles.

Find me work
Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind remoteroles.