Data Engineering Manager

This role leads a team of data engineers in building high-quality, scalable data products and infrastructure. It balances people management with technical delivery, mentoring engineers, guiding solution design, and collaborating across teams to deliver data systems supporting analytics, data science, and operational needs. The role suits an experienced data engineer or tech lead ready to take the next step into engineering management.

• Lead a team of data engineers through coaching, mentorship, and technical guidance, supporting career development and performance feedback.
• Foster a collaborative, inclusive, and high-performance team culture.
• Guide the design and implementation of scalable data pipelines, platforms, and data products.
• Review architecture and code, provide technical direction, and resolve complex engineering challenges, being hands-on when needed.
• Ensure delivery of high-quality, reliable solutions aligned with business goals and engineering best practices.
• Partner with product managers, data scientists, analysts, and business stakeholders to understand requirements and prioritise work.
• Translate business needs into actionable engineering plans and ensure timely delivery of key projects.
• Communicate clearly across technical and non-technical teams to align on priorities and progress.
• 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, and drive continuous improvement in development workflows and team productivity.

• 6+ 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 one or more programming languages (e.g., Python, Scala, or Java) and SQL.
• Experience with cloud data platforms (e.g., AWS, GCP, or Azure).
• Experience working with behavioural analytics tools and data (e.g., Snowplow, Amplitude, or Google Analytics).
• Strong communication and collaboration skills with a passion for working across teams.

• 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 organisation.
• Understanding of data privacy, security, and compliance frameworks.

• Hybrid role

• Professional development opportunities.
• Generous insurance and paid leave policies.
• An exciting and fun environment committed to driving real growth.
• Opportunities to build products that fans love.
• Mentorship and professional development resources to help refine your game.
• Flexible vacation allowance to let you refuel.
• Hall of Fame benefit programs and platforms.

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