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Analytics & BI Consulting
Management Consulting
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How Practiv hires
Truth index
B 75/100
Ghost roles
0%
Stale roles
100%
Reposted roles
0%
Practiv scores B on the Alion truth index (A is best, E worst), measured over 4 open roles re-checked against its own hiring board: 0% look like ghost listings, 100% have gone stale and 0% are the same role posted again. It measures how much of what this employer publishes turns into a real, finite search - not the employer as a workplace. How the index is computed
Tech stack
Technologies named in job postings at Practiv over the last 12 months, by layer, with the share of postings for each.
Technologies in use
23
Postings analysed
4
Stack modernity
84/100AI adopter
Languages
Python
SQL
JavaScript
Frameworks & libraries
LangChain
LlamaIndex
Databases
Snowflake
Cloud & platforms
GCP
Databricks
Spark
Power BI
AI & ML
LLM
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Full Practiv tech stack
23 technologies · by team · pay by technology · changes · similar stacks
Growth
Hiring Momentum
31/100
Slowing
Open positions
4
0 opened / 0 closed in 30 days
ATS activity
Every ~6 hours
Today
Hiring Dynamics
0%
Hiring Focus
The percentage next to each role is its share of the company's job openings over the last 90 days; the arrow shows the shift versus the previous period.
Data Science
75% ▼
DevOps
25% ▼
Activity Timeline
Added Machine Learning to stack
Sep 2026
Offices
Where the company hires and what each office is for
Cities
3
Hiring now
3
Countries
2
Busiest office
Sydney
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Headquarters
Builds here
Office with open vacancies
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Sydney
Australia
HQ
Sydney
2 open roles 100% engineering 10-50 est. staff
hires for Data Science, DevOps
Level 1, 44 Martin Place
Melbourne
Australia
Engineering / R&D
2 open roles 100% engineering 10-50 est. staff
hires for Data Science, DevOps
Auckland
New Zealand
Engineering / R&D
Auckland
1 open roles 100% engineering 100% remote 10-50 est. staff
hires for Data Science
Level 10, 11 Britomart Place
Jobs
≈ $70k – $183k per year (Estimated) • In office • Full-Time • Sydney
Python
SQL
Snowflake
Databricks
AI/ML
Spark
Machine Learning
DevOps
GCP
Analytics
Tableau
Power BI
ETL/ELT
Apply
≈ $72k – $146k per year (Estimated) • In office • Full-Time • Melbourne
Python
SQL
Snowflake
Databricks
AI/ML
Spark
Machine Learning
DevOps
GCP
Analytics
Tableau
Power BI
ETL/ELT
Apply
Remote (New Zealand) • Full-Time • Auckland
Python
SQL
Snowflake
Databricks
AI/ML
Spark
Machine Learning
DevOps
GCP
Analytics
Tableau
Power BI
ETL/ELT
Apply
Hybrid • Full-Time • Sydney • Melbourne
Python
JavaScript
Snowflake
AI/ML
LangChain
LlamaIndex
Model Context Protocol
Prompt Engineering
AI Agents
LLM
RAG
Google ADK
DevOps
GCP
Azure
GitOps
AWS
Kubernetes
Apply
