Description
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, Betnational, 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 FanDuel:
FanDuel is a leading force in the sports-tech entertainment industry, redefining how fans engage with their favorite 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:
We are looking for a Data Engineering Manager to lead a high-impact team of data engineers in building and delivering scalable, customer-centric data products and platforms. This is a hands-on leadership role where you’ll be responsible for people management, technical delivery, and cross-functional collaboration.
You’ll work closely with product, analytics, and business stakeholders to translate strategic priorities into engineered solutions. The ideal candidate is passionate about developing both people and platforms and is excited to lead within a high-growth, data-first organization.
If you’re excited by this challenge and want to work within a dynamic company, then we’d love to hear from you.
Exposure to emerging innovative technologies in business applications is an advantage!
Key Accountabilities & Responsibilities:
Team Management & Growth
- 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
Technical Oversight & Delivery
- Guide the design and implementation of scalable data pipelines, 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
Cross-Functional Collaboration
- 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
Operational Excellence
- 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, Capabilities & Experience Required:
- At least 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 Spark, dbt, Airflow, Kafka, or Databricks.
- Proficiency in SQL and one or more programming languages (e.g., Python, Scala, or Java).
- 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 analytics team
- Familiarity with machine learning workflows, data observability, and streaming architectures
- 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.
