Data Engineering Manager - Fanduel, Hybrid

Data Engineering Manager - 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.

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

The Role:

We are seeking a Data Engineering Manager to lead a team of data engineers in building high-quality, scalable data products and infrastructure. In this role, you'll balance people management with technical delivery—mentoring engineers, guiding solution design, and collaborating across teams to deliver data systems that support analytics, data science, and operational needs.

This role is ideal for an experienced data engineer or tech lead who is ready to take the next step into engineering management and enjoys blending hands-on support with strategic execution, or an existing people leader who wishes to explore their newest challenge.

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

Responsibilities:

• Lead a team of data engineers through coaching, mentorship, and technical guidance
• Support individual career development and performance feedback, creating growth opportunities for your team
• Foster a collaborative, inclusive, and high-performance team culture
• Guide the design and implementation of scalable data platforms, and data products
• Review architecture and code, provide technical direction, and help resolve complex engineering challenges by being hands-on when needed
• Ensure delivery of high-quality, reliable solutions aligned with business goals and engineering best practices
• Partner with product managers, data scientists, analysts, and business stakeholders to understand requirements and prioritize work
• Translate business needs into actionable engineering detailed plans and ensure timely delivery of key projects
• Communicate clearly across technical and non-technical teams to align on priorities and progress
• Promote operational stability and reliability of data pipelines and systems through monitoring, alerting, and incident response
• Advocate for high standards in data quality, governance, and compliance by collaborating with platform and data governance teams
• Drive continuous improvement in development workflows and team productivity

Skills & Requirements:

• 4+ years of experience in data engineering or software engineering, with at least 1–2 years in a team leadership or mentorship role.
• Strong technical background in building and maintaining data pipelines and platforms using tools like Kafka, Spark, Databricks, and/or Airflow.
• Proficiency in one or more programming languages (e.g., Python, Scala, or Java) and SQL.
• Experience with cloud data platforms (e.g., AWS, GCP, or Azure).
• Strong communication and collaboration skills with a passion for working across teams.

Preferred Skills:

• Prior experience in a people management or tech lead role within a data engineering or platform engineering team
• Familiarity with streaming architectures, data observability and governance, and machine learning workflows.
• Experience working in a product-driven, customer-focused organization
• Understanding of data privacy, security, and compliance frameworks

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.