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FanDuel

Runs sports betting and online casino apps

Data Engineering Senior Manager

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeEdinburgh, UKNo salary listedIn-person

About the Job

Requirements

  • At least 10 years of experience in data engineering, data platform, or related data roles.
  • At least 3 years leading engineering teams, including coaching, performance management, and organizational development.
  • Deep expertise building scalable data platforms and production-grade data pipelines, with strong experience in Python, Scala, or similar programming languages.
  • Experience working with modern cloud data platforms such as Databricks, Delta Lake, Snowflake, or BigQuery; Databricks is preferred.
  • Proven experience driving complex cross-functional initiatives from concept through production.
  • Experience leading technical architecture discussions and engineering design reviews.
  • Experience 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.
  • People management, communication, presentation, and facilitation skills.

Responsibilities

  • Lead the 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, and contribute hands-on to architecture reviews, code reviews, and troubleshooting.
  • Manage up to nine data engineers and five consultants, including hiring, onboarding, performance reviews, and career development.
  • Build a high-trust culture grounded in psychological safety and continuous learning.
  • Plan and prioritize the team's work to deliver on time and to quality, balancing discovery, platform investment, and run-the-business work, and determining which features are essential or deferrable.
  • Own production health, service-level agreements, and incident response; identify and resolve risks, blockers, and cross-team dependencies proactively.
  • Resolve data architecture gaps, align decisions across teams, drive platform coherence, and simplify, optimize, or extend solutions as needed.
  • Partner with Data Architects, Product Managers, Analytics, and Engineering teams to define technical strategy and drive platform governance.
  • Own platform reliability and cost, and enable data-driven decision-making through pragmatic problem-solving and operational excellence.

Desired Qualifications

  • Experience working with Databricks.

About the Company

FanDuel

Runs sports betting and online casino apps

FanDuel runs sports betting, online casino, and daily fantasy sports apps for adults in US states and Canadian provinces where gambling is legal. Two months after the Supreme Court let states legalize sports betting in 2018, the fantasy sports company opened its first sportsbook at New Jersey's Meadowlands Racetrack. Customers bet on games in the FanDuel Sportsbook app, play slots and table games on FanDuel Casino, wager on horse races through FanDuel Racing, and trade yes-or-no event contracts on FanDuel Predicts. FanDuel keeps the difference between what players stake and what they win. Founded in 2009 and based in New York City, it is owned by Flutter Entertainment, the parent of Paddy Power and PokerStars.

Company size
1,001-5,000
Company stage
Private
Total funding
$435.9M
Headquarters
New York City, New York
Founded
2009

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