Senior Data Product Performance Engineer - Remote

Overview

The Senior Data Product Performance Engineer at FanDuel will help build pipelines that deliver data for critical products while working closely with key stakeholders in a hybrid and remote environment.

In Short

• Build and maintain data pipelines for critical products.
• Collaborate with product managers and data teams.
• Monitor and resolve data quality issues.
• Design batch and real-time data pipelines.
• Mentor junior engineers and peers.
• Implement performance and scalability enhancements.
• Provide technical assistance to data consumers.
• Ensure compliance with audits and control practices.
• Identify workflow automations and optimizations.
• Drive operational best practices for data support.

Requirements

• Strong problem-solving skills.
• Experience with Python, Java, Scala, or other OOP languages.
• Strong SQL background.
• Experience with distributed systems (e.g., PySpark).
• Knowledge of data lake and warehouse architectures.
• Experience with cloud solutions (AWS).
• Understanding of ETL/ELT processes.
• Exposure to orchestration tools (e.g., Airflow).
• Ability to coordinate issues across time zones.
• Experience with data streaming patterns and CI/CD tools.

Benefits

• Hybrid and remote working options.
• €1,000 per year for self-development.
• Company share scheme.
• 25 days of annual leave.
• 20 days per year to work abroad.
• Flexible benefits for travel and hobbies.
• Extended health and dental insurance.
• Career growth sessions.
• Access to thousands of online courses.
• Engaging office events.