At a Glance
- Tasks: Lead the design and implementation of scalable data systems for a dynamic sports betting company.
- Company: Join FanDuel Group, a leader in sports betting and gaming innovation.
- Benefits: Enjoy competitive salary, flexible working, personal development, and a supportive team culture.
- Why this job: Make a real impact in a fast-paced industry while growing your career with cutting-edge technology.
- Qualifications: 8+ years in data engineering, strong skills in modern data tools, and excellent communication.
- Other info: Be part of a diverse team that values collaboration, learning, and fun.
The predicted salary is between 43200 - 72000 Β£ per year.
The requirements listed in our job descriptions are guidelines, not hard and fast rules. You don\βt have to satisfy every requirement or meet every qualification listed. If your skills are transferable and you are in the ballpark experience-wise, we\βd 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\βs no easy task, and wouldn\βt 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\βre looking for better career progression, improved financial security or just a better sense of belonging, we believe we\βve 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\βs 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\βll 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 SystemsDesign and implement scalable, maintainable, and secure batch & streaming data pipelines and architectures that support enterprise-wide data needsDefine standards for data modeling, data product design, and pipeline orchestration using modern tools and cloud-native technologiesCollaborate with cross-functional stakeholders to translate business and analytical requirements into end-to-end data solutionsDrive Engineering Best PracticesEstablish and enforce engineering best practices around code quality, testing, documentation, and deploymentContribute to the evolution of the data platform, ensuring systems are modular, interoperable, and resilientRun technical design and code reviews, mentoring and collaborating with peers and raising the bar for engineering excellenceLead Strategic InitiativesPartner with data platform teams, analytics, and data science to deliver reusable data assets and shared infrastructureIdentify and resolve architectural bottlenecks in the current data platform and propose improvements that reduce complexity and boost performanceDrive initiatives that improve data quality, lineage, observability, and system reliabilityInfluence and Collaborate Across TeamsAct as a technical liaison between engineering, product, and analytics teams, ensuring alignment on architecture and data strategyProvide technical leadership and guidance to other data engineers and contribute to the team\βs overall growth and maturityHelp evaluate and onboard new technologies, frameworks, and practices to keep our stack modern and efficientIf you\βre excited by this challenge and want to work within a dynamic company, then we\βd love to hear from you!
What We\βre Looking For
What we\βre 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 architecturesProficiency 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 productionExcellent communication skills with the ability to explain technical concepts to both technical and non-technical audiencesPreferred QualificationsExperience designing data platforms that support analytics, machine learning, and operational workloadsFamiliarity with data governance, privacy, and compliance frameworksBackground 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 ExpectInteresting work β 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 horizonsA sense of achievement β 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 createdPersonal development β 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 β everyone at FanDuel works for each other, we win together, make mistakes together and have lots of fun doing it.Trust β A trusting work environment where productivity is valued above all else, giving you autonomy and ownership of your time and workGreat financial package β 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\βt 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\βt have to satisfy every requirement or meet every qualification listed. If your skills are transferable and you are in the ballpark experience-wise, we\βd love to speak to you!#J-18808-Ljbffr
Lead Data Engineer employer: FanDuel
Contact Detail:
FanDuel Recruiting Team
StudySmarter Expert Advice π€«
We think this is how you could land Lead Data Engineer
β¨Tip Number 1
Network like a pro! Reach out to people in your industry on LinkedIn or at events. A friendly chat can lead to opportunities you might not find on job boards.
β¨Tip Number 2
Prepare for interviews by researching the company and its culture. Tailor your answers to show how your skills align with their values and goals. We want to see your passion!
β¨Tip Number 3
Donβt shy away from showcasing your projects! Bring examples of your work to interviews. Itβs a great way to demonstrate your skills and give us a taste of what you can do.
β¨Tip Number 4
Apply through our website! Itβs the best way to ensure your application gets seen. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace Lead Data Engineer
Some tips for your application π«‘
Be Yourself: When you're writing your application, let your personality shine through! We want to get to know the real you, so donβt be afraid to share your unique experiences and perspectives.
Tailor Your Application: Make sure to customise your application for the Lead Data Engineer role. Highlight your relevant skills and experiences that align with what weβre looking for. It shows us youβre genuinely interested!
Showcase Your Achievements: Donβt just list your responsibilities; talk about what youβve accomplished in your previous roles. Use specific examples to demonstrate how youβve made an impactβnumbers and results speak volumes!
Apply Through Our Website: We encourage you to apply directly through our website. Itβs the best way to ensure your application gets into the right hands. Plus, itβs super easy and straightforward!
How to prepare for a job interview at FanDuel
β¨Know Your Data Tools
Make sure you brush up on your knowledge of modern data tools and frameworks like Kafka, Spark, and Databricks. Be ready to discuss how you've used these technologies in past projects, as this will show your hands-on experience and understanding of scalable data systems.
β¨Showcase Your Problem-Solving Skills
Prepare to talk about complex technical challenges you've faced and how you resolved them. FanDuel is looking for someone who can tackle architectural bottlenecks and improve system performance, so have a few examples ready that highlight your analytical thinking and creativity.
β¨Communicate Clearly
Since you'll be acting as a liaison between technical and non-technical teams, practice explaining technical concepts in simple terms. This will demonstrate your ability to bridge the gap between different stakeholders and ensure everyone is aligned on data strategy.
β¨Emphasise Team Collaboration
FanDuel values teamwork, so be prepared to discuss how you've collaborated with cross-functional teams in the past. Share examples of how youβve contributed to team success and supported your colleagues, as this aligns with their 'We Are One Team' principle.