Data Engineering Manager

Company: FanDuel
Apply for the Data Engineering Manager
Location: Edinburgh
Job Description:

Overview

In this role you lead a data engineering team to deliver scalable data pipelines, platforms, and products that support analytics, data science, and operational needs. You bridge hands-on technical work with people leadership, guiding architecture reviews, mentoring engineers, and collaborating with product and analytics partners. You will drive reliable data systems while fostering a collaborative, high-performance culture. This role offers impact across data delivery, governance, and cross-functional collaboration within FanDuel Group’s data-focused initiatives.

Pay / Benefits

  • Flexible vacation
  • Mentorship and professional development resources
  • Insurance and paid leave policies
  • Competitive compensation
  • Opportunities to build products fans love
  • Team-focused, growth-oriented culture

Responsibilities

  • Lead and mentor a team of data engineers through coaching and technical guidance
  • Oversee design and implementation of scalable data pipelines and data products
  • Review architecture and code, providing hands-on input when needed
  • Ensure high-quality, reliable solutions aligned with business goals and engineering best practices
  • Collaborate with product managers, data scientists, analysts, and stakeholders to translate requirements into actionable plans
  • Promote operational stability with monitoring, alerts, incident response, and data quality governance
  • Drive continuous improvement in development workflows and team productivity

Key requirements

  • 6+ years in data or software engineering
  • 1–2+ years in a leadership or mentorship role
  • Strong experience with data pipelines and platforms using Spark, dbt, Airflow, Kafka, or Databricks
  • Proficiency in Python, Scala, or Java and SQL
  • Experience with cloud data platforms (AWS, GCP, or Azure)
  • Experience with behavioural analytics tools and data (e.g., Snowplow, Amplitude, or Google Analytics)
  • Strong communication and cross-team collaboration skills
  • communication
  • collaboration
  • leadership
  • Spark
  • dbt
  • Airflow

…

Posted: October 1st, 2026