Data Engineer - FanDuel, Hybrid

Data Engineer - FanDuel, Hybrid

About Betfair Romania Development​:

Betfair Romania Development is the largest technology hub of Flutter Entertainment, with over 2,000 people powering the world’s leading sports betting and iGaming brands. Exciting, immersive and safe experiences are delivered to over 18 million customers worldwide, from our office in Cluj-Napoca. Driven by relentless innovation and commitment to excellence, we operate our own unbeatable portfolio of diverse proprietary brands such as FanDuel, PokerStars, SportsBet, Betfair, Paddy Power, or Sky Betting & Gaming.

Our Values:

The values we share at Betfair Romania Development define what makes us unique as a team. They empower us by giving meaning to our contributions, and they ensure that we consistently strive for excellence in everything we do. We are looking for passionate individuals who align with our values and are committed to making a difference.

Win together | Raise the bar | Got your back | Own it | Positive impact

About the Brand: FanDuel

FanDuel is a leading force in the sports-tech entertainment industry, redefining how fans engage with their favourite sports, teams, and leagues. As the premier gaming destination in North America, FanDuel operates across multiple verticals, including sports betting, daily fantasy sports, online gaming, advance-deposit wagering, and media.

Exposure to emerging innovative technologies in business applications is an advantage!

The Role:

We are seeking a Data Engineer to help lead the technical design and implementation of our most critical data infrastructure and products. In this mid-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 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.

If you’re excited by this challenge and want to work within a dynamic company, then we’d love to hear from you.

Responsibilities:

Implement High-Impact Data Systems

• Implement and help design scalable, maintainable, and secure real-time data infrastructure and platforms that support enterprise-wide data needs.

• Define standards for pipeline orchestration, data modeling, and data product design 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

• 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.

Contribute to Strategic Initiatives

• Partner with data platform teams, analytics, and data science 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.

• Deliver on initiatives that improve data quality, lineage, observability, and system reliability.

Skills & Requirements:

• 2+ years of experience in data engineering or a related field, with a focus on building scalable data systems and platforms.

• Experience in modern data tools and frameworks such as Kafka, Spark, Databricks, dbt, Airflow, and cloud-native services (AWS, GCP, or Azure).

• Good understanding of streaming architectures, distributed systems, ETL/ELT pipelines, and data modeling.

• Proficiency at least one object-oriented programming language (e.g., Python, Java, Scala) and SQL

• 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

Preferred Qualifications

• Experience working on complex 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)

Disclaimer:

We are an inclusive employer. By embracing diverse experiences and perspectives, we create a lasting, positive impact for our employees, customers, and the communities we’re part of. You don't have to meet all the requirements listed to apply for this role. If you need any adjustments to make this role work for you, let us know, and we’ll see how we can accommodate them.

We thank all applicants for their interest; however, only the candidates who best meet the job requirements will be contacted for an interview.

By submitting your application online, you agree that your details will be used to progress your application for employment. If your application is successful, your details will be used to administer your personnel record. If your application is unsuccessful, we will retain your details for a period no longer than three years, to consider you for prospective roles within the company.