Simple Machines

Simple Machines

Data architecture, engineering, science, and apps

Overview

Simple Machines is an Australian consultancy that fuses data architecture, data engineering, data science, and software development to create large-scale, distributed data platforms and machine learning applications. They design end-to-end data systems that handle streaming and batch data at scale, helping organizations operationalize analytics and AI in real-world settings. They differentiate themselves through enterprise-grade streaming platforms and formal partnerships with Confluent (Kafka), Databricks (Spark), and Lightbend (Scala) for consulting, training, and implementation. Their goal is to help enterprises, governments, and global technology companies unlock value from data by building scalable, reliable pipelines and AI workloads.

About Simple Machines

Simplify's Rating
Why Simple Machines is rated
C+
Rated C on Competitive Edge
Rated B on Growth Potential
Rated C on Differentiation

Industries

Data & Analytics

Consulting

Enterprise Software

AI & Machine Learning

Company Size

11-50

Company Stage

N/A

Total Funding

N/A

Headquarters

Sydney, Australia

Founded

2008

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Simplify Jobs

Simplify's Take

What believers are saying

  • Simple Machines listed 19 open roles on 2026-08-07, signaling active demand.
  • DataEngBytes 2025 gold sponsorship on 2025-06-12 raised visibility among Oceania data buyers.
  • Simple Machines added senior leadership across ANZ, UK, and Poland during 2026 hiring.

What critics are saying

  • Consulting revenue depends on billable utilization; 19 openings pressure delivery if hires lag.
  • Confluent and Databricks partnerships expose Simple Machines to vendor-led services competition by 2027.
  • Without proprietary products, a referral slowdown from Databricks or Confluent would crush growth.

What makes Simple Machines unique

  • Simple Machines combines data architecture, engineering, software, and AI delivery across Sydney, London, Christchurch.
  • Its 2026 partner stack spans Confluent, Databricks, Snowflake, AWS, Azure, GCP, and Immuta.
  • Jason Martin returned as CTO on 2025-06-12, sharpening its agentic-AI positioning.

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Benefits

Hybrid Work Options

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