Data Engineer

FanDuel Group is seeking a Data Engineer to help lead the technical design and implementation of its most critical data infrastructure and products. The role involves 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. The postholder works 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.

• Implement and help design scalable, maintainable and secure real-time and streaming data infrastructure and architectures that support enterprise-wide data needs.
• Define standards for real-time system design and real-time tooling using modern tools and cloud-native technologies, and drive technical roadmaps for multi-phase and cross-team initiatives.
• Collaborate with cross-functional stakeholders to translate business and analytical requirements into end-to-end data solutions.
• Embody 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.
• Contribute to technical design and code reviews, mentoring peers and raising the bar for engineering excellence.
• Partner with data platform, data engineering, analytics, data science and product engineering teams to deliver reusable data assets and shared infrastructure.
• Identify and resolve structural and performance bottlenecks in the current data platform and propose improvements that reduce complexity and boost performance.
• Help define and deliver on metrics and initiatives that improve system reliability, scalability, data quality, lineage and observability.

• 3+ years of experience in data engineering or a related field, with a focus on building scalable data systems and platforms.
• Expertise in modern streaming data tools and frameworks such as Kafka, Spark, Databricks, and cloud-native services (AWS, GCP, or Azure).
• Deep understanding of streaming architectures, distributed systems, ETL/ELT pipelines, infrastructure-as-code, and build processes.
• Proficiency in at least one object-oriented programming language (e.g. Python, Java, Scala) and scripting.
• Demonstrated experience working on 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.

• Experience working on complex and large-scale 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 data modelling and data processing tooling and best practices.

• Interesting work in a fast-paced and ever-changing industry, with new problems and exciting solutions never far away and ongoing opportunities to learn new skills and broaden horizons.
• A sense of achievement: teams own the outcome, and shipping new features to users and receiving positive feedback brings pride in what the individual and team have created.
• Personal development: clear and defined career pathways for every role at every level, with the tools needed to learn, develop and become leaders.
• Belonging: everyone at FanDuel supports one another, wins together, makes mistakes together in order to learn and focus on the future, and has lots of fun doing it.
• Trust: a trusting work environment where productivity is valued above all else, giving autonomy and ownership of time and work.
• Great financial package including salary, bonus, pension, private healthcare, share save scheme, flexible working and holiday policy, along with a number of other benefits.

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).