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Company profile

Simple Machines Tech Stack

Data engineering consultancy building streaming platforms and ML systems

Information Technology & Services Sydney, NSW 51–200 employees Founded 2008 Privately Held

Simple Machines is a Sydney-founded data engineering consultancy that designs and builds data platforms, streaming pipelines and ML systems for client organisations. Its stack leans hard into real-time infrastructure (Kafka, Flink, Kinesis, Pub/Sub) across all three major clouds, and accelerating, senior-weighted hiring in engineering and data points to delivery capacity for modernisation and AI-native programmes.

What Simple Machines Is BuildingChallenges and projects from their job posts

◆Challenges

  • Transitioning clients to AI-native real-time models
  • Modernising and maintaining legacy data platforms
  • Operating real-time data-intensive systems at scale
  • Complex integration landscapes
  • Messy high-value data

▲Active Projects

  • ML platform for global telecommunications client
  • Scalable marketing platform backend and data APIs
  • Greenfield data platform development
  • Real-time pipeline development
  • ML-based marketing system UI
  • AI enablement

Hiring Activity

Accelerating20 roles · 10 in 30d

Department

Engineering
12
Data
8
Consulting
1
Product
1

Seniority

Senior
15
Director
4
Principal
3

Notable leadership hires: Technology Director

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About Simple Machines

Simple Machines is a privately held technology consultancy founded in 2008 and headquartered in Sydney, NSW, with 51–200 employees. The firm architects and engineers distributed data platforms, data-driven applications and machine learning systems for enterprises, government bodies and technology companies. It works across AWS, GCP and Azure alongside Databricks, Snowflake and Confluent, and maintains offices in Sydney, London, Christchurch and San Francisco. Current hiring spans Australia, the United Kingdom and Poland.

HeadquartersSydney, NSW
Company Size51–200 employees
Founded2008
Hiring MarketsAustralia, United Kingdom, Poland

Frequently Asked Questions

What tech stack does Simple Machines use?

Simple Machines works with Databricks, Snowflake, AWS, GCP, Kafka, Apache Flink, Apache Spark, Airflow, dbt, BigQuery and Terraform, with engineering in Scala, Java, Go, Rust and Python.

Is Simple Machines hiring?

Yes. Hiring is accelerating, concentrated in engineering and data roles at senior, principal and director levels, including a Technology Director, across Australia, the United Kingdom and Poland.

What is Simple Machines working on?

Current work includes marketing platform backend services, a large-scale machine learning platform for a global telecommunications client, greenfield data platforms, real-time pipelines and AI enablement.

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How this profile is built

Simple Machines's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.