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For Companies At a Glance
- Tasks: Lead the design and implementation of critical data infrastructure and products.
- Company: Join FanDuel Group, a leader in sports betting and gaming, delivering excitement to millions daily.
- Benefits: Enjoy flexible working, a great financial package, and 10% of your time for personal development.
- Why this job: Be part of a dynamic team, solve complex challenges, and make a real impact in the industry.
- Qualifications: 8+ years in data engineering with expertise in modern tools like Spark and cloud services.
- Other info: We value diversity and encourage applicants with transferable skills to apply!
The predicted salary is between 48000 - 72000 £ per year.
The requirements listed in our job descriptions are guidelines, not hard and fast rules. You don\’t have to satisfy every requirement or meet every qualification listed. If your skills are transferable and you are in the ballpark experience-wise, we\’d love to speak to you.
ABOUT FANDUEL GROUP
FanDuel Group is a world-class team of brands and products that deliver sports betting, gaming and entertainment to millions of US sports fans every day. That\’s no easy task, and wouldn\’t be possible without a fantastic team who have helped us pioneer new products and innovative features that make us a leader in the industry. Whether you\’re looking for better career progression, improved financial security or just a better sense of belonging, we believe we\’ve created a culture in which everyone can succeed, no matter how you got here.
FanDuel Group is a subsidiary of Flutter Entertainment plc, the world\’s largest sports betting and gaming operator with a portfolio of globally recognized brands and a constituent of the FTSE 100 index of the London Stock Exchange.
The Position
Our roster has an opening with your name on it!
We are seeking a Lead Data Engineer to lead the technical design and implementation of our most critical data infrastructure and products. In this senior-level individual contributor role, you\’ll be responsible for designing scalable systems, setting data architecture standards, and solving complex technical challenges that power analytics, data science, and business function use cases across the company.
You will collaborate closely with engineers, product managers, and business stakeholders to architect data solutions that are performant, reliable, and built with a long-term, customer-centric mindset.
Architect High-Impact Data Systems
- Design and implement scalable, maintainable, and secure batch & streaming data pipelines and architectures that support enterprise-wide data needs
- Define standards for data modeling, data product design, and pipeline orchestration using modern tools and cloud-native technologies
- Collaborate with cross-functional stakeholders to translate business and analytical requirements into end-to-end data solutions
Drive Engineering Best Practices
- Establish and enforce engineering best practices around code quality, testing, documentation, and deployment
- Contribute to the evolution of the data platform, ensuring systems are modular, interoperable, and resilient
- Run technical design and code reviews, mentoring and collaborating with peers and raising the bar for engineering excellence
Lead Strategic Initiatives
- Partner with data platform teams, analytics, and data science to deliver reusable data assets and shared infrastructure
- Identify and resolve architectural bottlenecks in the current data platform and propose improvements that reduce complexity and boost performance
- Drive initiatives that improve data quality, lineage, observability, and system reliability
Influence and Collaborate Across Teams
- Act as a technical liaison between engineering, product, and analytics teams, ensuring alignment on architecture and data strategy
- Provide technical leadership and guidance to other data engineers and contribute to the team\’s overall growth and maturity
- Help evaluate and onboard new technologies, frameworks, and practices to keep our stack modern and efficient
If you\’re excited by this challenge and want to work within a dynamic company, then we\’d love to hear from you!
What We\’re Looking For
What we\’re looking for in our next teammate:
- 8+ years of experience in data engineering or a related field, with a focus on building scalable data systems and platforms.
- Expertise in modern data tools and frameworks such as Spark, dbt, Airflow, Kafka, Databricks, and cloud-native services (AWS, GCP, or Azure)
- Understanding of data modeling, distributed systems, ETL/ELT pipelines, and streaming architectures
- Proficiency in SQL and at least one programming language (e.g., Python, Scala, or Java)
- Demonstrated experience owning complex technical systems end-to-end, from design through production
- Excellent communication skills with the ability to explain technical concepts to both technical and non-technical audiences
Preferred Qualifications
- Experience designing data platforms that support analytics, machine learning, and operational workloads
- Familiarity with data governance, privacy, and compliance frameworks
- Background in customer-centric or product-driven environments (e.g., digital, eCommerce, SaaS)
- Experience with infrastructure-as-code and data platform observability (e.g., Terraform)
What You Can Expect
- Interesting work – working in a fast-paced and ever-changing industry, new problems and exciting solutions are never too far away. There are always opportunities to learn new skills and broaden your horizons
- A sense of achievement – Our teams own their own software and when that awesome new feature ships to users and the positive feedback starts rolling in, you can feel really proud of what you and your team created
- Personal development – clear and defined career pathways for every role at every level, a supportive manager, loads of learning opportunities and even 10% of your time to dedicate to your learning.
- Belonging – everyone at FanDuel works for each other, we win together, make mistakes together and have lots of fun doing it.
- Trust – A trusting work environment where productivity is valued above all else, giving you autonomy and ownership of your time and work
- Great financial package – Including salary, bonus, pension, private healthcare, share save scheme, flexible working & holiday policy along with a number of other benefits.
Diversity, Equity and Inclusion
FanDuel is an equal opportunities employer. Diversity and inclusion in FanDuel means that we respect and value everyone as individuals. We don\’t tolerate bias, judgement or harassment. Our focus is on developing employees so that they reach their full potential.
The requirements listed in our job descriptions are guidelines, not hard and fast rules. You don\’t have to satisfy every requirement or meet every qualification listed. If your skills are transferable and you are in the ballpark experience-wise, we\’d love to speak to you! #J-18808-Ljbffr
Lead Data Engineer employer: FanDuel
Contact Detail:
FanDuel Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Engineer
✨Tip Number 1
Familiarise yourself with the specific tools and technologies mentioned in the job description, such as Spark, dbt, and Kafka. Having hands-on experience or projects showcasing these tools can set you apart during discussions.
✨Tip Number 2
Network with current or former employees of FanDuel Group on platforms like LinkedIn. Engaging in conversations about their experiences can provide valuable insights and potentially lead to referrals.
✨Tip Number 3
Prepare to discuss your previous projects in detail, especially those that involved designing scalable data systems. Be ready to explain your thought process and the impact of your work on the business.
✨Tip Number 4
Showcase your communication skills by practising how to explain complex technical concepts in simple terms. This is crucial as the role requires collaboration with both technical and non-technical teams.
We think you need these skills to ace Lead Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure to customise your CV to highlight relevant experience in data engineering, especially focusing on scalable systems and platforms. Use keywords from the job description to align your skills with what FanDuel Group is looking for.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and your understanding of the role. Mention specific projects or experiences that demonstrate your ability to lead technical design and implementation of data infrastructure.
Highlight Transferable Skills: Even if you don’t meet every requirement, emphasise transferable skills and experiences that relate to the job. Discuss your proficiency in modern data tools and frameworks, as well as your ability to communicate complex concepts effectively.
Showcase Team Collaboration: Since the role involves collaboration with various teams, include examples of how you've successfully worked with cross-functional teams in the past. This will demonstrate your ability to act as a technical liaison and contribute to team growth.
How to prepare for a job interview at FanDuel
✨Showcase Your Technical Expertise
As a Lead Data Engineer, you'll need to demonstrate your proficiency in modern data tools and frameworks. Be prepared to discuss your experience with technologies like Spark, Kafka, and cloud services. Highlight specific projects where you've designed scalable data systems.
✨Communicate Clearly
Excellent communication skills are crucial for this role. Practice explaining complex technical concepts in simple terms, as you may need to convey ideas to both technical and non-technical stakeholders. Use examples from your past experiences to illustrate your points.
✨Prepare for Problem-Solving Questions
Expect to face questions that assess your problem-solving abilities. Think of scenarios where you've identified architectural bottlenecks or improved data quality. Be ready to walk through your thought process and the steps you took to resolve these challenges.
✨Demonstrate Leadership and Collaboration
In this role, you'll act as a technical liaison across teams. Share examples of how you've led initiatives or mentored other engineers. Discuss your approach to fostering collaboration and ensuring alignment on architecture and data strategy within cross-functional teams.
