Data Engineer - Fanduel, Hybrid
Betfair Romania
Data Engineer - FanDuel, Hybrid
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.
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
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.
Role Overview:
As a Data Engineer, you will contribute to our organizational success by:
• Designing, building, and maintaining scalable data pipelines and infrastructure that support analytics, machine learning, and business decision-making across the company
• Bridging technical and business needs by translating data requirements into reliable and efficient data solutions
• Having a bias for action by solving complex data challenges and continuously improving data platform reliability, scalability, and performance
• Collaborating with analysts, data scientists, product teams, and other stakeholders to deliver high-quality, actionable data products
• Using strong technical and communication skills to operate effectively in a fast-paced environment with multiple stakeholders
Key Accountabilities & Responsibilities:
• Design, build, and maintain scalable batch and streaming data pipelines to support analytics and business operations
• Develop clean, efficient, and well-documented code using technologies such as Python, SQL, and distributed processing frameworks (e.g., Spark)
• Ensure data reliability, accuracy, and timely availability across data platforms
• Work closely with data analysts, data scientists, product managers, and other stakeholders to understand requirements and deliver data solutions
• Translate business problems and analytical needs into technical data engineering tasks and implementation plans
• Monitor data pipelines, identify issues proactively, and troubleshoot incidents in a timely and systematic manner
• Implement and maintain data quality checks, testing frameworks, and observability practices
• Document data sources, transformations, and architecture decisions to ensure maintainability and knowledge sharing
• Contribute to agile ceremonies including sprint planning, code reviews, and retrospectives
• Support operational readiness for new data platform releases and enhancements
• Contribute to clear stakeholder communication and technical documentation
Skills, Capabilities & Experience Required:
• Proven experience (typically 2–4 years) in data engineering, analytics engineering, or software engineering with a strong focus on data
• Strong SQL skills and proficiency in at least one programming language such as Python, Java, or Scala
• Hands-on experience with modern data engineering tools such as Databricks, Airflow, dbt, Spark, Kafka, or similar technologies
• Good understanding of data modeling concepts, data warehousing architectures, and ETL/ELT best practices
• Experience working with cloud-based data platforms (AWS, GCP, or Azure)
• Experience collaborating with cross-functional teams including BI, analytics, or data science teams
• Familiarity with version control systems, CI/CD pipelines, and collaborative development workflows
• Exposure to data governance, privacy, or compliance practices is considered a plus
• Demonstrated ability to work effectively with diverse teams across various departments, fostering open communication and shared goals (Win together / Collaboration)
• Demonstrates a strong focus on achieving high-quality outcomes, continuously improving data quality, performance, and platform efficiency (Raise the bar - Drive for results)
• Reliable and supportive team player who contributes to team success and knowledge sharing (Got your back / Team-player)
• Experience working in Agile environments
• Resilience and confidence when working with complex data systems and production issues
• Ability to make informed technical decisions and proactively propose improvements (Own it)
• Strong commitment to delivering high-quality data solutions that positively impact stakeholders and end users (Positive impact - Stakeholder/Customer oriented)
Benefits:
- Hybrid & remote working options
- €1,000 per year for self-development
- Company share scheme
- 25 days of annual leave per year
- 20 days per year to work abroad
- 5 personal days/year
- Flexible benefits: travel, sports, hobbies
- Extended health, dental and travel insurances
- Customized well-being programmes
- Career growth sessions
- Thousands of online courses through Udemy
- A variety of engaging office events
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.