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FanDuel

Data Engineering Senior Manager

Edinburgh
Posted about 18 hours ago
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ABOUT FANDUEL

FanDuel Group (“FanDuel") is an innovative sports-tech entertainment company that is changing the way consumers engage with their favorite sports, teams, and leagues. The premier gaming destination in the United States, FanDuel consists of a portfolio of leading brands across gaming, sports betting, daily fantasy sports, advance-deposit wagering, and TV/media.

FanDuel has a presence across all 50 states with approximately 17 million customers and 28 retail locations. FanDuel is based in New York with offices in New Jersey, Georgia, California, Oregon, Canada, and Scotland.

Its networks FanDuel TV and FanDuel+ are broadly distributed on linear cable television and through its relationships with leading direct-to-consumer over-the-top platforms.

FanDuel Group is a subsidiary of Flutter Entertainment plc, the world's largest sports betting and gaming operator with a portfolio of globally recognized brands and traded on the New York Stock Exchange (NYSE: FLUT).

THE ROSTER

At FanDuel, we give fans a new and innovative way to interact with their favorite games, sports, and teams. We’re dedicated to building a winning team, and we pride ourselves on being able to make every moment mean more, especially when it comes to your career. So, what does “winning” look like at FanDuel? It’s recognition for your hard-earned results, a culture that brings out your best work—and a roster full of talented coworkers. Make no mistake, we are here to win, but we believe in winning right. That means we’ll never compromise when it comes to looking out for our teammates. From creatives professionals to cutting edge technology innovators, FanDuel offers a wide range of career opportunities, best in class benefits, and the tools to explore and grow into your best selves. At FanDuel, our principle of “We Are One Team” runs through all our offices across the globe, and you can expect to be a part of an exciting company with many opportunities to grow and be successful.

THE POSITION

Our roster has an opening with your name on it.

As a Senior Engineering Manager, you'll lead teams with a blend of consultants and employees with diverse data engineer backgrounds who build scalable data pipelines to power business intelligence, analytics, fraud detection, and operational reporting across FanDuel. You'll partner with Data Architects, Product Managers, Analytics, and Engineering teams to define technical strategy and drive platform governance. This role demands both organizational leadership and technical depth; you'll build high-performing teams, own platform reliability and cost, and enable data-driven decision-making through pragmatic problem-solving and operational excellence.

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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It searches the market for you

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Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

You should have a passion for imparting knowledge and a proven ability to grow a team and lead it to success. You will show a pragmatic approach to problem-solving; your experience should be built on a solid foundation of engineering development and operational support, and you should be able to show a proven background in coaching/ people management.

THE GAME PLAN

Everyone on our team has a part to play.

  • Platform Leadership: Lead design build, and continuous improvement of scalable data pipelines, Lakehouse architectures, and data products on Databricks and AWS infrastructure. Maintain engineering standards for performance, reliability, and cost. Contribute hands-on to architecture reviews, code reviews, and troubleshooting.
  • Team Management: Manage up to 9 data engineers and 5 consultants—hiring, onboarding, performance reviews, and career development. Build a high-trust culture grounded in psychological safety and continuous learning.
  • Delivery & Execution: Plan and prioritize the team's work to deliver on-time, on-quality. Balance discovery, platform investment, and run-the-business work. Know which features are essential versus deferrable.
  • Operational Excellence: Own production health, SLAs, and incident response. Identify and resolve risks, blockers, and cross-team dependencies proactively.
  • Architecture & Strategy: Resolve data architecture gaps. Align decisions across teams and drive platform coherence. Simplify, optimize, or extend solutions as needed.

THE STATS

What we’re looking for in our next teammate:

  • 10+ years of experience in Data Engineering, Data Platform, or related data roles.
  • 3+ years leading engineering teams, including coaching, performance management, and organizational development.
  • Deep expertise building scalable data platforms and production-grade data pipelines, and strong experience with Python, Scala, or similar programming languages.
  • Experience working with modern cloud data platforms such as Databricks (preferred), Delta Lake, Snowflake, or BigQuery.
  • Proven experience driving complex cross-functional initiatives from concept through production.
  • Experience leading technical architecture discussions and engineering design reviews.
  • Experience in setting up self-healing and resilient data, and setting up monitoring and alerting using Monte Carlo, PagerDuty, and DataDog.
  • Experience managing and delivering multiple projects at the same time is necessary.
  • Excellent people management, communication, presentation, and facilitation skills are necessary.

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PLAYER BENEFITS

We treat our team right.

From our many opportunities for professional development to our generous insurance and paid leave policies, we’re committed to making sure our employees get as much out of FanDuel as we ask them to give. Competitive compensation is just the beginning. As part of our team, you can expect:

  • An exciting and fun environment committed to driving real growth.
  • Opportunities to build really cool products that fans love.
  • Mentorship and professional development resources to help you refine your game.
  • Be well, save well, and live well - with FanDuel Total Rewards your benefits are one highlight reel after another.

FanDuel is an equal opportunities employer, and we believe, as one of our principal states, “We Are One Team!” We are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, Veteran status, or any other characteristic protected by state, local, or federal law. We believe FanDuel is strongest and best able to compete if all employees feel valued, respected, and included. We want our team to include diverse individuals because diversity of thought, diversity of perspectives, and diversity of experiences leads to better performance. Having a diverse and inclusive workforce is a core value that we believe makes FanDuel stronger and more competitive as One Team!

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Skills

Data engineering
Team management
Python
Scala
Databricks
AWS
Delta Lake
Snowflake
BigQuery
Data architecture
Platform governance
Operational excellence
Incident response
Performance management
Technical strategy
Cloud data platforms

Location

Edinburgh, Scotland, United Kingdom

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