Onlano
Data ScienceOnsite

Lead Data Engineer (Audience Intelligence)

Two Circles - Company

Vancouver, Greater Vancouver, ๐Ÿ‡จ๐Ÿ‡ฆ CanadaFull-time - Lead (7-10 years)0 applicantsCloses Jun 21, 2026

Salary

CHECK DESCRIPTION

Apply for this job

Job description

Job details

  • Location: Vancouver, Greater Vancouver
  • Work mode: Onsite
  • Employment type: Full-time (Not an internship)
  • Salary: Salary details are available in the employer description.

Role overview

Two Circles, a leading Sports & Entertainment Marketing business in Vancouver, is seeking a Lead Data Engineer specializing in Audience Intelligence. This Lead-level position focuses on building scalable data pipelines using Azure, Databricks, and Python to drive fan engagement insights and revenue growth for major sports and entertainment clients.

Job details

This is a Full-time, Onsite position based in Vancouver, Greater Vancouver, British Columbia. The role requires expertise in cloud data engineering, with a focus on Azure ecosystem technologies. Salary details are available in the employer description. You will lead data engineering initiatives that power audience analytics, helping clients understand fan behavior, spending patterns, event attendance, and content consumption across multiple channels.

Responsibilities

  • Design and build scalable data pipelines on Azure and Databricks platforms
  • Lead data engineering projects for audience intelligence and fan analytics
  • Architect ETL processes to integrate multi-channel fan engagement data
  • Collaborate with analytics teams to deliver actionable insights for clients
  • Mentor junior data engineers and establish engineering best practices

Requirements

  • 7+ years of data engineering experience with Azure cloud platform
  • Expert-level proficiency in Python and SQL for data processing
  • Hands-on experience with Databricks and Apache Spark
  • Strong background in building ETL/ELT pipelines at scale
  • Experience with audience analytics or marketing data preferred
  • Leadership experience mentoring engineering teams

Benefits

  • Work with major sports and entertainment brands
  • Lead innovative audience intelligence projects
  • Collaborative team environment
  • Professional development opportunities

Keywords

AzureDatabricksPythonData EngineeringETLData PipelinesAudience AnalyticsCloud Data