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- Tasks: Lead the design and implementation of critical data infrastructure and products.
- Company: Join FanDuel Group, a leader in sports betting and gaming, part of Flutter Entertainment.
- Benefits: Enjoy flexible working, a great financial package, and personal development opportunities.
- Why this job: Work on exciting challenges in a dynamic environment with a supportive team culture.
- Qualifications: 8+ years in data engineering, expertise in modern tools like Spark and AWS required.
- Other info: Diversity and inclusion are core values; all backgrounds are encouraged to apply.
The predicted salary is between 48000 - 84000 ÂŁ per year.
FanDuel Edinburgh, Scotland, United Kingdom Get AI-powered advice on this job and more exclusive features. Position At FanDuel Group, we give fans a new and innovative way to interact with their favorite games, sports, and teams. We’re dedicated to building a winning team and we pride ourselves on creating a culture that brings out the best work. We believe in winning right by never compromising on care for our teammates. We are seeking a Staff 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 design scalable systems, set data architecture standards, and solve complex technical challenges that power analytics, data science, and business function use cases across the company. You will work 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. Responsibilities Architect High‑Impact Data Systems Design and implement scalable, maintainable, and secure batch 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 U.S. 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 recognised brands and traded on the New York Stock Exchange (NYSE: FLUT). What You Can Expect Interesting work – working in a fast‑paced and ever‑changing industry with new problems and exciting solutions are never too far away A sense of achievement – owning your software and seeing positive feedback from users gives you pride in what you and your team created Personal development – clear and defined career pathways, supportive manager, learning opportunities, and 10% of your time dedicated to learning Belonging – everyone works for each other, wins together, learns from mistakes, and has lots of fun 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 – salary, bonus, pension, private healthcare, share‑save scheme, flexible working
Staff Data Engineer employer: FanDuel
Contact Detail:
FanDuel Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Staff Data Engineer
✨Tip Number 1
Familiarise yourself with the specific data tools and frameworks mentioned in the job description, such as Spark, dbt, and Kafka. Having hands-on experience or projects showcasing these technologies can significantly boost your chances.
✨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 experiences in designing scalable data systems during interviews. Be ready to share specific examples of challenges you faced and how you overcame them, as this will demonstrate your problem-solving skills.
✨Tip Number 4
Showcase your ability to communicate complex technical concepts clearly. Practice explaining your past projects to a non-technical audience, as this skill is highlighted in the job description and can set you apart from other candidates.
We think you need these skills to ace Staff Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data engineering, especially with scalable systems and modern tools like Spark, dbt, and Kafka. Use specific examples to demonstrate your expertise.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role at FanDuel Group. Mention how your background aligns with their needs, particularly in designing data architectures and collaborating with cross-functional teams.
Showcase Technical Skills: Clearly outline your proficiency in SQL and programming languages such as Python or Java. Include any experience with cloud services like AWS or GCP, as these are crucial for the position.
Highlight Soft Skills: FanDuel values communication and collaboration. Provide examples of how you've effectively communicated technical concepts to non-technical audiences and worked within teams to achieve common goals.
How to prepare for a job interview at FanDuel
✨Showcase Your Technical Expertise
As a Staff Data Engineer, you'll need to demonstrate your deep understanding of data engineering concepts. Be prepared to discuss your experience with tools 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 non-technical stakeholders. Use examples from your past experiences to illustrate your points.
✨Prepare for Problem-Solving Questions
Expect to face technical challenges during the interview. Brush up on your problem-solving skills and be ready to walk through your thought process when tackling data architecture issues or optimising data pipelines. This will showcase your analytical abilities.
✨Demonstrate Collaboration Skills
Collaboration is key in this role, so be ready to discuss how you've worked with cross-functional teams in the past. Share examples of how you've acted as a liaison between engineering, product, and analytics teams to align on data strategies.
