Brainstack Technologies

Responsibilities

· Design and build data pipelines and ETL processes to move and transform data reliably across company systems

· Develop and maintain data models that support reliable, well-structured reporting and analytics

· Write and optimise SQL across data pipelines, reporting layers, and ad hoc analysis

· Build and maintain Power BI dashboards and reports that give stakeholders clear, accurate visibility into business performance

· Apply data structures and algorithms thinking to design efficient, scalable data processes

· Apply version control and CI/CD practices to data pipeline and analytics code, ensuring changes are tested and deployed safely

· Apply AI tools and literacy to accelerate data engineering, analysis, and reporting work

· Contribute to data warehouse design, database administration, or solution architecture where relevant

· Work closely with stakeholders across the business to understand reporting needs and translate them into reliable data solutions

Requirements

· Mandatory overlap with Sydney team throughout

. 3 to 6 years of relevant experience

· Strong SQL skills, comfortable writing and optimising complex queries across large datasets

· Solid experience with data modelling, structuring data for reliable and maintainable reporting

· Hands-on experience building data pipelines and ETL processes

· Experience building data visualisations and dashboards, ideally in Power BI

· Good grounding in data structures and algorithms

· Practical experience with version control (e.g. Git) and CI/CD pipelines

· Working AI literacy - comfortable using AI-assisted tools to support data engineering and analysis

· Exposure to Azure, data warehousing, database administration, or solution architecture is an advantage, not a requirement

Analytical and curious, detail-oriented, a strong problem solver who communicates well and can work independently

Responsibilities

· Design and build workflow automations that streamline operational and business processes across the technology environment

· Develop and maintain integrations between systems via APIs, supporting automated data flow and process handoffs

· Build and maintain Azure-based cloud infrastructure and services supporting automation and workflow tooling

· Write and maintain scripts and small applications to extend automation capability where off-the-shelf tools fall short

· Apply version control and CI/CD practices to automation code, ensuring changes are tested, reviewed, and deployed safely

· Contribute to technical and solution Design for new automation initiatives and process-improvement projects

· Apply AI tools and literacy to identify automation opportunities and accelerate development and troubleshooting

· Support monitoring/logging and QA/testing practices across automated workflows, escalating issues promptly

· Partner with operational and business stakeholders to identify manual, error-prone, or repetitive processes worth automating

Requirements

· 3 to 6 years of relevant Experience

· Experienced with Azure or another major cloud platform, comfortable operating and troubleshooting cloud-hosted services

· Hands-on Experience building workflow automations (e.g. via Workato, Power Platform, or comparable tooling)

· Solid understanding of APIs and system-integration patterns

· Programming or scripting proficiency (e.g. Python, JavaScript, C#) sufficient to build and extend automations

· Practical Experience with version control (e.g. Git) and CI/CD pipelines

· Working AI literacy - comfortable using AI-assisted tools to support development and process-improvement work

· Experience contributing to technical or solution Design for automation or process-improvement initiatives

· Exposure to monitoring/logging, QA/testing, or manufacturing/warehousing/operational systems is an advantage.

Candidates from other operational or automation environments are equally welcome

A practical, hands-on problem solver with a process-improvement mindset, who communicates well and can work independently

Platform & Integration Engineer



Responsibilities

· Design, build, and maintain system integrations across the technology environment via APIs, webhooks, and integration platforms

· Own and extend Workato (or equivalent iPaaS) automations, ensuring reliable, well-monitored data flow between systems

· Develop and maintain Azure-based cloud infrastructure and services supporting the integration and platform environment

· Write and maintain scripts and small applications to extend integration capability where off-the-shelf connectors fall short

· Apply version control and CI/CD practices to integration and platform code, ensuring changes are tested, reviewed, and deployed safely

· Contribute to solution architecture and technical design for new integrations and platform capabilities

· Apply AI tools and literacy to improve integration development, troubleshooting, and day-to-day platform engineering work

· Support API management and, where relevant, monitoring/observability and security/identity configuration across integrated systems

· Collaborate with stakeholders across technology and business teams to translate requirements into practical solutions

Requirements

· Must be willing to work in the Sydney time zone with full overlap     

. 3 to 5 years of relevant experience

· Experienced with Azure or another major cloud platform, comfortable operating and troubleshooting cloud-hosted services

· Hands-on experience with Workato or a comparable integration/iPaaS platform (e.g. MuleSoft, Boomi, Azure Logic Apps) - Workato experience preferred but not essential

· Solid understanding of APIs, webhooks, and common integration patterns

· Programming or scripting proficiency (e.g. Python, JavaScript, C#) sufficient to build and extend integrations

· Practical experience with version control (e.g. Git) and CI/CD pipelines

· Working AI literacy - comfortable using AI-assisted tools to support development and problem-solving

· Experience contributing to solution architecture or technical design for integration or platform work

· Exposure to API management, monitoring/observability, or security/identity is an advantage, not a requirement

· A strong, practical problem solver who is a self-starter, communicates well, and can work independently with a delivery focus