Principal Data Engineer

Betfair Romania Development

Principal Data Engineer at FanDuel designing and building scalable data solutions. Collaborating with engineers, analysts and product managers to support data-driven initiatives.

Posted 5/29/2026full-timeCluj-Napoca • 🇷🇴 RomaniaLeadWebsite

Tech Stack

Tools & technologies

AirflowAWSAzureCloudDistributed SystemsETLGoGoogle Cloud PlatformJavaJenkinsKafkaPythonScalaSparkSQL

About the role

Key responsibilities & impact

Design and implement scalable, maintainable, and secure batch & streaming data pipelines and architectures that support enterprise-wide data needs
Define standards for data engineering, data product design, and pipeline orchestration using modern tools and cloud-native technologies
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
Partner with other data engineering 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
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
Design, develop, and maintain scalable ETL/ELT pipelines to support data products, analytics, and operational systems
Work with large-scale, complex datasets and ensure data is clean, well-modelled, and accessible across the organization
Develop and maintain batch and streaming data pipelines and data platforms using modern tools and technologies

Requirements

What you’ll need

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 modeling, 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
Experience of database performance analysis and design
Unit testing knowledge
Exposure to Continuous Integration / Continuous Delivery tools (e.g. Go, Jenkins)
Strong problem-solving skills and ability to work independently in a fast-paced environment.

Benefits

Comp & perks

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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data engineeringdata product designpipeline orchestrationETLELTdata modelingdistributed systemsSQLPythonScala

Soft Skills

communication skillsproblem-solving skillsmentoringtechnical leadershipcollaboration