About Betfair Romania DevelopmentBetfair 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 ValuesThe 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 impactAbout FanDuelFanDuel 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 OverviewWe are looking for a Principal Data Engineer to design and build scalable, reliable, and high-quality data solutions that power analytics, machine learning, and business operations. You’ll be a hands-on contributor who plays a key role in shaping the technical foundation of our data ecosystem.As a senior member of the team, you’ll work closely with engineers, analysts, product managers, and data scientists to deliver data pipelines and platforms that drive meaningful business outcomes. The ideal candidate is a strong problem solver, a team player, and someone who brings both technical depth and a collaborative mindset to every challenge.Key Accountabilities & ResponsibilitiesArchitect High-Impact Data Systems Design and implement scalable, maintainable, and secure batch & streaming data pipelines and architectures that support enterprise-wide data needsDefine standards for data engineering, 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 resilientLead technical design and code reviews, mentoring peers and raising the bar for engineering excellenceLead Strategic InitiativesPartner with other data engineering 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’s overall growth and maturityHelp evaluate and onboard new technologies, frameworks, and practices to keep our stack modern and efficientBuild & Maintain Data InfrastructureDesign, develop, and maintain scalable ETL/ELT pipelines to support data products, analytics, and operational systemsWork with large-scale, complex datasets and ensure data is clean, well-modelled, and accessible across the organizationDevelop and maintain batch and streaming data pipelines and data platforms using modern tools and technologiesDeliver High-Quality, Reusable SolutionsBuild modular, reusable data models and assets using tools like Spark, dbt or similar frameworksCollaborate with stakeholders to understand business needs and translate them into reliable, production-ready data solutionsEnsure data quality, accuracy, and consistency through validation frameworks and monitoringContribute to Engineering ExcellenceFollow and promote software engineering best practices, including testing, version control, documentation, and code reviewsActively participate in technical design discussions, and architecture reviewsHelp evolve our data platform and tooling to improve performance, developer experience, and scalabilityCollaborate & CommunicatePartner with data scientists, analysts, and product managers to support data-driven decision-making.Clearly communicate technical concepts, project status, and risks to stakeholdersShare knowledge and mentor junior engineers through code reviews and collaborative problem-solvingEssentialSkills, Capabilities & Experience Required8+ years of experience in data engineering or a related field, with a focus on building scalable data systems and platforms. Strong expertise in modern data tools and frameworks such as Spark, dbt, Airflow, Kafka, Databricks, and cloud-native services (AWS, GCP, or Azure) Deep 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 production Excellent communication skills with the ability to explain technical concepts to both technical and non-technical audiences Experience of database performance analysis and designUnit testing knowledgeExposure to Continuous Integration / Continuous Delivery tools (e.g. Go, Jenkins)Strong problem-solving skills and ability to work independently in a fast-paced environment.DesirableExperience working in Agile environmentsExperience supporting analytics and machine learning workflows.Familiarity with data governance, privacy, and compliance frameworks.Experience working in a product-led or customer-centric organization.Familiarity with infrastructure-as-code or DevOps practices related to data systems.BenefitsHybrid & remote working options€1,000 per year for self-developmentCompany share scheme25 days of annual leave per year20 days per year to work abroad5 personal days/yearFlexible benefits: travel, sports, hobbiesExtended health, dental and travel insurancesCustomized well-being programmesCareer growth sessionsThousands of online courses through UdemyA variety of engaging office events DisclaimerWe 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. Show more Show less