At a Glance
- Tasks: Lead teams to build scalable data pipelines and drive platform governance.
- Company: Join FanDuel, a leading sports-tech entertainment company revolutionising fan engagement.
- Benefits: Enjoy competitive pay, professional development, and a fun work environment.
- Other info: Be part of a diverse team that values inclusion and collaboration.
- Why this job: Make an impact in a dynamic industry while growing your career with innovative projects.
- Qualifications: 10+ years in Data Engineering and 3+ years in team leadership required.
The predicted salary is between 75600 - 92400 £ per year.
FanDuel Group is an innovative sports-tech entertainment company that is changing the way consumers engage with their favourite 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.
At FanDuel, we give fans a new and innovative way to interact with their favourite 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.
As a Senior Engineering Manager, you'll lead teams with a blend of consultants and employees with diverse data engineering 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.
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.
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 prioritise 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, optimise, or extend solutions as needed.
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 organisational 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.
Player Benefits: 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, colour, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, Veteran status, or another characteristic protected by state, local or federal law. We believe FanDuel is strongest and best able to compete if all employees feel valued, respectful, 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!
Data Engineering Senior Manager employer: Visa Hunt
Gartner is an exceptional employer that fosters a dynamic and inclusive work culture, where innovation and collaboration thrive. With a strong emphasis on employee growth, you will have access to mentorship opportunities and resources to advance your career while working in a hybrid model that promotes work-life balance. Located in a vibrant market, Gartner offers the unique advantage of engaging with top executives globally, making your contributions impactful and rewarding.
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We think you need these skills to ace Data Engineering Senior Manager
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