Principal Data Engineer - FanDuel, Hybrid

About Betfair Romania Development​:

The Role:

We are seeking a Principal 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 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.

Key Responsibilities:

Architect High-Impact Data Systems

• Design and implement scalable, maintainable, and secure batch & streaming data pipelines and architectures that support enterprise-wide data needs
• Define standards for data modeling, data product design, and pipeline orchestration 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

• Establish and enforce 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
• Lead technical design and code reviews, mentoring peers and raising the bar for engineering excellence

Lead Strategic Initiatives

• Partner with data platform teams, analytics, and data science to deliver reusable data assets and shared infrastructure
• Identify and resolve architectural bottlenecks in the current data platform and propose improvements that reduce complexity and boost performance
• Drive initiatives that improve data quality, lineage, observability, and system reliability

Influence and Collaborate Across Teams

• Act as a technical liaison between engineering, product, and analytics teams, ensuring alignment on architecture and data strategy
• Provide technical leadership and guidance to other data engineers and contribute to the team’s overall growth and maturity
• Help evaluate and onboard new technologies, frameworks, and practices to keep our stack modern and efficient

Requirements:

• 8+ 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 modelling, distributed systems, ETL/ELT pipelines, and streaming architectures
• Proficiency 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
• Demonstrated ability to work effectively with diverse teams across various departments, fostering an environment of open communication and shared goals to achieve collective success
• Proven ability to set ambitious goals and continuously strive for improvement. Demonstrates a strong focus on achieving high-quality outcomes, consistently pushing for greater efficiency and performance
• Committed to being a reliable and supportive team member, fostering trust and collaboration
• Ability to make informed and confident decisions while bringing your own perspectives to the table
• Demonstrates a strong commitment to understanding and meeting the needs of stakeholders and customers. Ensures that decisions and actions have a positive, lasting impact by delivering solutions that exceed expectations, building trust, and fostering long-term relationships
• Exposure to emerging innovative technologies in business applications is an advantage

Preferred Qualifications

• Experience designing 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)

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.