Enterprise transformation and automation consulting across Australia
Rmkble is a mid-sized Australian consulting firm (51–200 employees) focused on end-to-end transformation, with four specialist business units delivering digital strategy, data, process automation, and operations work. The tech stack is enterprise-grade and multi-cloud (AWS, Azure, GCP) with strong depth in automation tooling (Power Platform, Informatica, AWS Lambda) and data platforms (Snowflake, Databricks) — reflecting a consulting practice aligned to large-scale cloud migrations and workflow digitization. Current hiring is concentrated in engineering and data roles at senior/lead level, suggesting active delivery on complex client transformations rather than aggressive headcount expansion.
Rmkble partners with large Australian organisations across sectors to design and execute digital transformation programs. The firm operates four business units — JourneyOne, DataDivers, ProcessPath, and EvergreenOps — each anchored in a specific discipline: customer journey transformation, advanced analytics, process automation, and operational sustainability. Active project work spans intelligent workflow design, Power Platform integrations, and client journey scaling, with recurring client pain points centered on automating manual, labour-intensive processes and establishing governance frameworks at scale. Headquartered in West Perth, the firm has been operating since 2010 and maintains a distributed consulting team across Australia.
Rmkble operates across AWS, Azure, and GCP. Core platforms include Power Platform (Power Apps, Power Automate, Copilot Studio), Snowflake, Databricks, and Informatica for data and automation. Development spans Java, Python, JavaScript, Node.js, and React; infrastructure tooling includes AWS Lambda, API Gateway, Step Functions, and EventBridge.
Rmkble is headquartered in West Perth, Western Australia. The firm is Australian-owned and operates consulting teams across the country.
Rmkble'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.