Professional Services Engineer
(Calculated after EPF (12%), Gratuity (4.81%), Professional Tax & New Tax Regime FY 2025-26 deductions)
- Target Role:Professional Services Engineer
- Employer:Matillion
- Work Mode:REMOTE
- Location:Remote (Australia)
- Compensation:AUD 112,000 - 168,000 / annual
- Experience:2+ Years
- Recruiter SLA:7-Day Truth Teller Guarantee
- Candidate Fee:₹0 (Zero Placement Fee Guarantee)
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About the Role
Are you ready to shape the future of data? Matillion is the company behind Maia, the AI Data Automation platform. In the AI economy, demand for data is exploding. Manual data engineering can’t keep up. Maia fixes that by combining 15 years of data expertise with agentic AI to eliminate the manual work that slows data teams down. Organisations like Cisco, DocuSign, and Slack are already using it to deliver real business impact, faster. We started in Manchester and now we’re global - with teams across the UK, US and India. We are driven, curious, energetic people who move fast, think big and hold ourselves to a high standard. We’re here to make a dent in the universe bigger than ourselves. And we’re looking for people who want to be part of it. About the role The Professional Services Engineer is a customer-embedded services delivery professional responsible for the deployment, implementation, and optimization of Maia Foundation platform, driving adoption, solving complex technical challenges, and enablement of Maia agentic AI capabilities. The PSE leads the technical deployment and implementation of the Maia Foundation platform by architecting production-grade integrations and distributed data systems that transform legacy ETL workflows into modern, autonomous data pipelines. This role is based in Sydney, Australia. While the position is remote, we're looking for someone located in-region to support our customers and build our presence as the region becomes an increasingly important growth market for Matillion . What you will be doing Own the deployment: Architect and implement production-grade integrations and distributed data systems for enterprise customers, using Python, SQL, and modern API development. Modernise legacy data: Transform legacy ETL/ELT workflows into modern, autonomous data pipelines, working across cloud infrastructure (AWS/Azure/GCP) and Kubernetes. Build with AI, not just for it: Integrate AI APIs (OpenAI, Anthropic) and use AI
Requirements & Qualifications
- Strong problem solving foundations, knowledge of modern engineering practices, and interest in technology systems.
Perks & Benefits
- Official mentor support
- verified hiring timeline
- and career progression.
The employer seeks candidates proficient in the following core technologies:
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Verified Direct Application Link
Official position sourced directly from Matillion's verified career portal.
Apply directly on Matillion's portal using the link above. Use "Track with Truth Teller" to log your submission timestamp and automated 7-day follow-up countdown in your dashboard.
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How do I apply for Professional Services Engineer at Matillion?▼
Click "Apply on Official Site" on this page to be routed directly to Matillion's official applicant tracking system (EXTERNAL). RoleNest connects you directly with ₹0 candidate fees and activates automated 7-day follow-up telemetry in your dashboard.
What is the compensation or stipend for this role?▼
The verified package for this role is AUD 112,000 - 168,000 / annual (REMOTE). RoleNest enforces transparent compensation benchmarking to eliminate guessing before candidates invest time in assessments.
Who is eligible to apply for this opening?▼
Engineers with 2+ years of experience proficient in Python, Kubernetes, AWS, SQL are encouraged to apply.
How does RoleNest Truth Teller protect applicants from ghosting?▼
Truth Teller tracks candidate application timestamps and recruiter response telemetry. If Matillion does not update your application status within 7 business days, RoleNest provides polite, ATS-tailored follow-up email templates and highlights active matching roles to keep your momentum high.
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