Data Engineer

Will advance data capabilities and ensure the reliability and performance of critical data pipelines and infrastructure, supporting accurate and timely data for informed decision-making. It sits within the Data Support team, maintaining exceptional standards and servicing data consumers across the company. The engineer will ensure the health of data infrastructure, contribute to reliable, timely and consumable data, and combine technical troubleshooting with proactive monitoring.

• Provide on-call technical assistance to analysts, data consumers and data engineering teams, responding to inquiries relating to query optimisation, reporting anomalies, complex data pipeline issues, failed jobs and data inconsistencies.
• Investigate and resolve data quality issues in response to system alerts or stakeholder notifications, ensuring compliance with internal and external audits and control practices.
• Design and implement batch and real-time data pipelines to the data warehouse or data lake using data transformation technologies, enhancing monitoring dashboards and support tools.
• Lead impactful initiatives to enhance data pipelines and other data operations capabilities while mentoring and onboarding new support data engineers.
• Identify operational inefficiencies and implement automation solutions to reduce manual intervention.
• Create and maintain technical support documentation, including FAQs, troubleshooting steps, support runbooks and a knowledge base of solutions to recurring issues.
• Drive operational best practices and shape workflows for routine consumer support, operations monitoring, incident management and problem management.
• Administer account access to tools across the technology stack in accordance with governance policies.
• Participate in the team's on-call pager duty rotation to ensure 24/7 coverage and timely response to critical data issues.
• Perform other duties as assigned by the Company to support operational flexibility and evolving business needs.

• Minimum of 3+ years of experience in data engineering with a focus on operational support.
• Advanced SQL skills with proven query optimisation experience.
• Strong problem-solving skills with the ability to take ownership and accountability for issues through to resolution.
• Python programming proficiency for automation and data processing.
• Experience with cloud data platforms such as AWS, Databricks and Spark.
• Understanding of data warehousing and ETL/ELT processing.
• Experience with dimensional data modelling, batch data ingestion and real-time technologies such as Kafka or Kinesis.
• Working knowledge of orchestration and monitoring tools such as Airflow, Datadog, Databand, DataFold, Monte Carlo, Prometheus and Grafana.
• Strong incident management and root cause analysis capabilities.
• Customer-oriented mindset with a focus on delivering high-quality support services and attention to detail.
• Exceptional communication and interpersonal skills.
• Proven ability to work effectively within teams and across organisational boundaries.
• Experience owning and coordinating issues across multiple time zones.
• Experience identifying operational inefficiencies and implementing automation solutions using AI techniques.

• Experience with data streaming patterns and tools such as Dbt.
• Familiarity with CI/CD practices for data pipelines using BuildKite or GitHub Actions.
• Familiarity with data visualisation tools such as Tableau or Looker.
• Exposure to database design, performance analysis and data quality metrics.
• Exposure to data science, machine learning and AI applications.

• Hybrid working arrangement.

• Health plans with options as low as $0 per paycheck, including fertility and family planning, mental health support and fitness benefits.
• Medical, vision and dental insurance; life insurance; disability insurance.
• Generous paid time off (PTO and sick leave); paid personal time off and 14 paid company holidays; paid sick time in accordance with applicable state and federal laws.
• Annual bonus and long-term incentive opportunities based on performance; eligibility for short-term or long-term incentive compensation including cash bonuses and stock program participation.
• 401(k) with up to a 5% match.
• Commuter benefits and pet insurance.
• Benefits differ across location, role and level.

FanDuel Group is the premier mobile gaming company in the United States and Canada, with a portfolio of leading brands across mobile wagering including FanDuel Sportsbook, FanDuel Casino, FanDuel Racing and its daily fantasy sports product. FanDuel Group is a subsidiary of Flutter Entertainment, the world's largest sports betting and gaming operator, with a portfolio of globally recognised brands and traded on the New York Stock Exchange (NYSE: FLUT).