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Data Analytics Engineering Manager

hipages Group
Location
Sydney, New South Wales, Australia
Posted
16 days ago
Department
Finance & Operations
What they actually want (must-haves)
  • Bachelor’s degree in Computer Science, Statistics, Mathematics, Physics, Economics or a related quantitative qualification or relevant equivalent experience
  • Advanced SQL with deep experience designing and building scalable data architectures
  • Hands-on mastery of dbt (Data Build Tool)
  • Strong experience with enterprise cloud platforms (AWS, GCP, or Azure)
  • Proven experience developing and governing semantic layers in AI and BI tools like Tableau
  • Proven capability to manage direct reports and drive cross-functional alignment
Nice to have
  • Exposure to two-sided marketplace dynamics, network metrics, or high-velocity event-driven data ecosystems
  • Experience partnering with Data Science teams to build feature stores or support ML model deployments
  • Interest or experience in shaping data for AI/LLM consumption
What the job really is

As a Data Analytics Engineering Manager at hipages, you will lead a team of analytics engineers to enhance the company's data capabilities. Your role involves designing and implementing scalable data models, advocating for best practices in analytics engineering, and ensuring high-quality data governance. You will collaborate across teams to drive the commercial strategy and support the development of self-service analytics within the organization.

Benefits
  • Hybrid working model
  • In-house Talent Development team for personal and career growth
  • Competitive salary, benefits and perks, plus equity via Employee Share Program
  • Cross-functional collaboration across teams
  • Hands-on learning opportunities and workshops for continuous upskilling
  • Extra leave for birthdays, volunteering, and more
Things to weigh
  • No specific salary listed
  • Role involves both leadership and hands-on technical execution
  • Focus on scaling existing data architecture rather than building from scratch
Job score3.4/5
Benefits5/5
Freshness4/5
Career value4/5
Role clarity4/5
Pay transparency0/5

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