Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Engineer

DraftKings
City of London
3 days ago
Create job alert

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 Data Engineer, Games, you will help lead the design and implementation of reliable, scalable systems for transforming raw data into structured, usable formats that power data products, reporting, and operational workflows. You’ll operate across varied business domains and play a critical role in aligning technical solutions with business strategy. Your work will enable clean, performant data solutions that drive impact at scale. If you're excited about solving complex data challenges in a fast-paced, high-growth environment, come join us and grow your career at DraftKings. Your work will create the next generation of immersive, data-powered gaming experiences that captivate audiences worldwide.

What you’ll do as a Data Engineer

  • Dive into the world of DraftKings to understand the systems and data structures that support our products
  • Work with engineering, product, and business teams to design data solutions that meet application and reporting requirements.
  • Design, build, and maintain robust data pipelines and models that power enterprise-level decision-making and cross-domain data products.
  • Establish and enforce best practices around data quality, testing frameworks, and system monitoring.
  • Drive continuous improvement in the performance and reliability of large-scale data processing workflows.
  • Write, maintain, and optimize SQL code with cloud MPP data warehouse platforms (e.g. Snowflake)

What you’ll bring

  • 2+ years of experience in Data Engineering or a closely related field, with demonstrated expertise in building and maintaining production data systems.
  • Advanced SQL skills and deep experience implementing complex business logic and performance-optimized transformations at scale.
  • Expertise with modern cloud-based data platforms (e.g., Snowflake, BigQuery, Redshift) and experience managing large, distributed data environments.
  • Strong understanding of data architecture and dimensional modeling principles, with a track record of designing enterprise-grade schemas.
  • Proven ability to lead projects through agile software development lifecycles and mentor junior team members.
  • Proficiency with version control systems (e.g., Git) and collaborative engineering practices.
  • Ability to quickly learn industry and DraftKings-specific domain knowledge and leverage it to deliver solutions for critical business needs.

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.


#J-18808-Ljbffr

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.

Why the UK Could Be the World’s Next Data Science Jobs Hub

Data science is arguably the most transformative technological field of the 21st century. From powering artificial intelligence algorithms to enabling complex business decisions, data science is essential across sectors. As organisations leverage data more rapidly—from retailers predicting customer behaviour to health providers diagnosing conditions—demand for proficiency in data science continues to surge. The United Kingdom is particularly well-positioned to become a global data science jobs hub. With world-class universities, a strong tech sector, growing AI infrastructure, and supportive policy environments, the UK is poised for growth. This article delves into why the UK could emerge as a leading destination for data science careers, explores the job market’s current state, outlines future opportunities, highlights challenges, and charts what must happen to realise this vision.