Data Analytics Engineering Manager
hipages Group · Sydney, New South Wales, Australia
Posted 12 days ago
or apply directly on hipages Group's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 12 days hipages Group's roles stay open a median of 36 days
- Reposted
- No
- Salary listed
- No 0% of hipages Group's roles list one
- Ghost-job risk at hipages Group
- moderate 3 stale, 0 reposted of 10 open
- Hiring momentum
- 19 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-17
Measured from postings appearing on and disappearing from hipages Group's own greenhouse board since 2026-08-03. Full hiring picture for hipages Group.
About this role
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
- 5/5
- freshness
- 4/5
- career value
- 4/5
- role clarity
- 4/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of hipages Group as an employer.
What you need
- 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 you get
- 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
Worth weighing
- No specific salary listed
- Role involves both leadership and hands-on technical execution
- Focus on scaling existing data architecture rather than building from scratch
Summarised from hipages Group's posting. Read the full original.
Listed by hipages Group on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
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