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
Data Engineering Manager employer: FanDuel
FanDuel Group is an exceptional employer, offering a vibrant and inclusive work culture that prioritises employee growth and development. With competitive compensation, flexible vacation policies, and a commitment to mentorship, employees are empowered to thrive in their careers while contributing to innovative products that engage fans across North America. Located in New York, the company fosters collaboration and creativity, making it an ideal place for those looking to make a meaningful impact in the mobile gaming industry.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineering Manager
✨Tip Number 1
Familiarise yourself with the specific tools mentioned in the job description, such as Spark, dbt, and Airflow. Having hands-on experience or projects that showcase your skills with these technologies can set you apart from other candidates.
✨Tip Number 2
Highlight your leadership experience by preparing examples of how you've mentored or guided teams in the past. Be ready to discuss your approach to fostering a collaborative team culture during interviews.
✨Tip Number 3
Research FanDuel Group's products and services thoroughly. Understanding their business model and how data engineering supports their operations will help you articulate how you can contribute to their goals.
✨Tip Number 4
Network with current or former employees of FanDuel Group on platforms like LinkedIn. Engaging with them can provide insights into the company culture and potentially give you a referral, which can significantly boost your chances of landing the job.
We think you need these skills to ace Data Engineering Manager
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights relevant experience in data engineering and team leadership. Use specific examples of projects where you've built scalable data pipelines or led a team, as this aligns with the role's requirements.
Craft a Compelling Cover Letter:In your cover letter, express your enthusiasm for the role at FanDuel Group. Mention how your background in data engineering and your leadership skills make you a perfect fit for their team. Be sure to include any specific tools or technologies you’ve worked with that are mentioned in the job description.
Showcase Technical Skills:When detailing your experience, emphasise your proficiency in SQL and programming languages like Python or Scala. Highlight any experience with cloud platforms such as AWS or GCP, as these are crucial for the position.
Demonstrate Collaboration Experience:FanDuel values cross-functional collaboration, so include examples of how you've worked with product managers, data scientists, or other stakeholders. This will show that you can effectively communicate and align priorities across teams.
How to prepare for a job interview at FanDuel
✨Showcase Your Technical Expertise
As a Data Engineering Manager, it's crucial to demonstrate your strong technical background. Be prepared to discuss your experience with data pipelines and platforms, especially using tools like Spark, dbt, and Airflow. Highlight specific projects where you’ve successfully implemented these technologies.
✨Emphasise Leadership Skills
Since this role involves team management, share examples of how you've led teams in the past. Discuss your approach to mentoring and coaching engineers, and how you've fostered a collaborative team culture. This will show that you're not just technically proficient but also a capable leader.
✨Prepare for Cross-Functional Collaboration
FanDuel values collaboration across teams, so be ready to talk about your experience working with product managers, data scientists, and other stakeholders. Provide examples of how you've translated business needs into actionable engineering plans and ensured timely project delivery.
✨Understand Operational Excellence
Operational stability is key in this role. Be prepared to discuss how you've promoted reliability in data systems through monitoring and incident response. Share your thoughts on data quality and governance, and how you’ve driven continuous improvement in development workflows.
