At a Glance
- Tasks: Lead a team of data engineers to build scalable data products and infrastructure.
- Company: Join FanDuel, the leading mobile gaming company in North America.
- Benefits: Competitive pay, flexible vacation, mentorship, and a fun work environment.
- Why this job: Make an impact in a dynamic company while developing your leadership skills.
- Qualifications: 6+ years in data engineering with leadership experience and strong technical skills.
- Other info: Diverse and inclusive culture that values every team member.
The predicted salary is between 43200 - 72000 ÂŁ per year.
ABOUT FANDUELFanDuel 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 itWe 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 PLANEveryone on our team has a part to playTeam Management & GrowthLead a team of data engineers through coaching, mentorship, and technical guidanceSupport individual career development and performance feedback, creating growth opportunities for your teamFoster a collaborative, inclusive, and high-performance team cultureTechnical Oversight & DeliveryGuide the design and implementation of scalable data pipelines, platforms, and data productsReview architecture and code, provide technical direction, and help resolve complex engineering challenges by being hands-on when neededEnsure delivery of high-quality, reliable solutions aligned with business goals and engineering best practicesCross-Functional CollaborationPartner with product managers, data scientists, analysts, and business stakeholders to understand requirements and prioritize workTranslate business needs into actionable engineering detailed plans and ensure timely delivery of key projectsCommunicate clearly across technical and non-technical teams to align on priorities and progressOperational ExcellencePromote operational stability and reliability of data pipelines and systems through monitoring, alerting, and incident responseAdvocate for high standards in data quality, governance, and compliance by collaborating with platform and data governance teamsDrive continuous improvement in development workflows and team productivityTHE STATSWhat we\’re looking for in our next teammate6+ 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 SkillsPrior experience in a people management or tech lead role within a data engineering or analytics teamFamiliarity with machine learning workflows, data observability, and streaming architecturesExperience working in a product-driven, customer-focused organizationUnderstanding of data privacy, security, and compliance frameworksPLAYER CONTRACTWe 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 growthOpportunities to build really cool products that fans loveMentorship and professional development resources to help you refine your gameFlexible vacation allowance to let you refuelHall of Fame benefit programs and platformsFanDuel 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
Contact Detail:
FanDuel Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineering Manager
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at FanDuel. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Make sure you can talk confidently about data pipelines and tools like Spark or Airflow. We want to see your passion for data engineering!
✨Tip Number 3
Show off your leadership skills! Be ready to discuss how you've mentored others or led projects. FanDuel is looking for someone who can inspire a team, so let that shine through.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're serious about joining the FanDuel team.
We think you need these skills to ace Data Engineering Manager
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Data Engineering Manager role. Highlight your leadership experience and technical expertise in data engineering tools like Spark and SQL.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're excited about this role at FanDuel. Share specific examples of how you've led teams or delivered successful projects in the past.
Showcase Your Technical Skills: Don’t just list your technical skills—demonstrate them! Include projects or achievements that showcase your ability to build scalable data pipelines and collaborate across teams.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to see your application and get you into the process quickly. Plus, it shows you're serious about joining our team!
How to prepare for a job interview at FanDuel
✨Know Your Tech Inside Out
Make sure you’re well-versed in the tools and technologies mentioned in the job description, like Spark, dbt, and Airflow. Brush up on your SQL skills and be ready to discuss how you've used these technologies in past projects.
✨Showcase Your Leadership Skills
As a Data Engineering Manager, you'll need to demonstrate your ability to lead and mentor a team. Prepare examples of how you've supported team growth and fostered a collaborative environment in previous roles.
✨Understand the Business Needs
Familiarise yourself with FanDuel's products and services. Be prepared to discuss how you can translate business requirements into actionable engineering plans, showing that you understand the bigger picture beyond just technical details.
✨Communicate Clearly
Practice explaining complex technical concepts in simple terms. You’ll need to communicate effectively with both technical and non-technical stakeholders, so being able to bridge that gap is crucial for success in this role.