At a Glance
- Tasks: Lead a team of data engineers to build scalable data products and infrastructure.
- Company: FanDuel Group is a leading mobile gaming company in North America with a dynamic portfolio.
- Benefits: Enjoy flexible vacation, competitive pay, and professional development opportunities.
- Other info: FanDuel values diversity and inclusion, fostering a collaborative team environment.
- Why this job: Join a fun, inclusive culture where your work impacts millions of fans.
- Qualifications: 6+ years in data engineering, with leadership experience and strong technical skills required.
The predicted salary is between 48000 - 72000 £ per year.
ABOUT FANDUEL
FanDuel Group is the premier mobile gaming company in the United States and Canada. FanDuel Group consists of a portfolio of leading brands across mobile wagering including: America’s #1 Sportsbook, FanDuel Sportsbook; its leading iGaming platform, FanDuel Casino; the industry’s unquestioned leader in horse racing and advance-deposit wagering, FanDuel Racing; and its daily fantasy sports product.
In addition, FanDuel Group operates FanDuel TV, its broadly distributed linear cable television network and FanDuel TV+, its leading direct-to-consumer OTT platform. FanDuel Group has a presence across all 50 states, Canada, and Puerto Rico.
The company is based in New York with US offices in Los Angeles, Atlanta, and Jersey City, as well as global offices in Canada and Scotland. The company’s affiliates have offices worldwide, including in Ireland, Portugal, Romania, and Australia.
FanDuel Group is a subsidiary of Flutter Entertainment, 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).
Our roster has an opening with your name on it
We are seeking a Data Engineering Manager to lead a team of data engineers in building high-quality, scalable data products and infrastructure. In this hybrid role, you’ll balance people management with technical delivery—mentoring engineers, guiding solution design, and collaborating across teams to deliver data systems that support analytics, data science, and operational needs.
This role is ideal for an experienced data engineer or tech lead who is ready to take the next step into engineering management and enjoys blending hands-on support with strategic execution.
If you’re excited by this challenge and want to work within a dynamic company, then we’d love to hear from you.
THE GAME PLAN
Everyone on our team has a part to play
Team Management & Growth
- Lead a team of data engineers through coaching, mentorship, and technical guidance
- Support individual career development and performance feedback, creating growth opportunities for your team
- Foster a collaborative, inclusive, and high-performance team culture
Technical Oversight & Delivery
- Guide the design and implementation of scalable data pipelines, platforms, and data products
- Review architecture and code, provide technical direction, and help resolve complex engineering challenges by being hands-on when needed
- Ensure delivery of high-quality, reliable solutions aligned with business goals and engineering best practices
Cross-Functional Collaboration
- Partner with product managers, data scientists, analysts, and business stakeholders to understand requirements and prioritize work
- Translate business needs into actionable engineering detailed plans and ensure timely delivery of key projects
- Communicate clearly across technical and non-technical teams to align on priorities and progress
Operational Excellence
- Promote operational stability and reliability of data pipelines and systems through monitoring, alerting, and incident response
- Advocate for high standards in data quality, governance, and compliance by collaborating with platform and data governance teams
- Drive continuous improvement in development workflows and team productivity
THE STATS
What we're looking for in our next teammate
- 6+ years of experience in data engineering or software engineering, with at least 1–2 years in a team leadership or mentorship role.
- Strong technical background in building and maintaining data pipelines and platforms using tools like Spark, dbt, Airflow, Kafka, or Databricks.
- Proficiency in SQL and one or more programming languages (e.g., Python, Scala, or Java).
- Experience with cloud data platforms (e.g., AWS, GCP, or Azure).
- Strong communication and collaboration skills with a passion for working across teams.
Preferred Skills
- Prior experience in a people management or tech lead role within a data engineering or analytics team
- Familiarity with machine learning workflows, data observability, and streaming architectures
- Experience working in a product-driven, customer-focused organization
- Understanding of data privacy, security, and compliance frameworks
PLAYER CONTRACT
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
- Flexible vacation allowance to let you refuel
- Hall of Fame benefit programs and platforms
FanDuel Group 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, and Veteran status. 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 our company stronger and more competitive as One Team
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Data Engineering Manager employer: FanDuel
At FanDuel, we pride ourselves on being an exceptional employer, offering a dynamic and inclusive work culture that fosters innovation and collaboration. Our commitment to employee growth is evident through our extensive professional development resources and competitive benefits, ensuring that every team member can thrive both personally and professionally. Join us in a fast-paced environment where your contributions directly impact the #1 sports book in America, all while enjoying the perks of a supportive and engaging workplace.
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We think this is how you could land Data Engineering Manager
✨Get Involved in Data Science Meetups
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like FanDuel.
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We think you need these skills to ace Data Engineering Manager
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at FanDuel. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at FanDuel
✨Brush Up on Your Statistics
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✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at FanDuel!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.