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Overview

How retailers unify all their customer data, understand their customer, create segments, acquire new customers, and grow lifetime value.

Technologies

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Tech DNA
Python
AWS
AI/ML
Python
AI Agents
Context Engineering
LLM Guardrails
AWS
CI/CD
Databricks
Stack modernity Cutting-edge
79/100
How modern this stack is, based on technology relevance, AI adoption and the share of legacy tools.
In-demand technologies
Python 1 job Required
Databricks 1 job Required
AI Agents 1 job Required
CI/CD 1 job Required
AWS 1 job Required
Context Engineering 1 job Required
LLM Guardrails 1 job Required
Salary medians are calculated from this company's open jobs and compared with the market.
Industry adoption
Python
25%
CI/CD
20%
AWS
20%
AI Agents
14%
Databricks
9%
LLM Guardrails
4%
Share of companies in the same industry that use each technology.
Stack changes
LLM Guardrails Aug 2026
Context Engineering Aug 2026
Technologies recently added to or removed from this company's stack - a signal of tech migrations and new initiatives.

Growth

Hiring Momentum
48/100
Stable
Open positions
1
0 opened / 0 closed in 30 days
Hiring Dynamics +100%
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.
Backend
100%

Jobs

$84k – $221k per year (Estimated) • Remote/Hybrid • 8+ years exp • Melbourne
Python
Databricks
AI/ML
AI Agents
Context Engineering
LLM Guardrails
DevOps
AWS
CI/CD
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