Professional Services Engineer

🔥 17 hours ago

🇦🇺 Australia – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

👷🏻‍♀️ Engineer

👻 Ghost score 10%

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Logo of Matillion

Matillion

501 - 1000 employees

Founded 2011

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

Matillion is a company that provides a comprehensive platform for building and managing data pipelines, creating no-code data transformations, and delivering data for AI and analytics at scale. The platform supports generative AI by enabling the use of unstructured data and creating AI pipelines. Matillion also offers features for automation and management, security, and data connectivity, allowing users to connect any data source to a preferred cloud data platform with pre-built or custom connectors. With capabilities in ETL processes, Matillion allows for data cleansing, transformation, and aggregation using both no-code and high-code methods. The company serves various industries including financial services, healthcare, and retail, helping organizations leverage their data to drive productivity, profits, and innovation.

📋 Description

• Architect and implement production-grade integrations and distributed data systems for enterprise customers • Transform legacy ETL/ELT workflows into modern, autonomous data pipelines • Work across AWS, Azure, GCP, and Kubernetes • Integrate AI APIs including OpenAI and Anthropic • Use AI code generation tools to accelerate delivery and enable Maia’s agentic capabilities • Take technical solutions from kickoff to production within an 8–12 week Accelerator window • Own delivery outcomes • Alternate between deep technical problem-solving and strategic alignment conversations with customer executives • Lead technical deployment and implementation of the Maia Foundation platform • Drive customer adoption and solve complex technical challenges

🎯 Requirements

• Demonstrable experience building production-grade software, with strong programming ability in Python, SQL, and API development or equivalent • Hands-on experience with ETL/ELT tools, gained as a Data Engineer, DBA, or similar • Strong grasp of data architecture and data structures • Ability to assess and redesign customer data environments as part of a migration • Readiness to flex across technical delivery, customer communication, and initially commercial support • Track record of completing migration and deployment outcomes to a defined timeline • Experience working directly with customer stakeholders • Located in-region in Sydney, Australia

🏖️ Benefits

• Company Equity • 30 days holiday + bank holidays • 5 days paid volunteering leave • Access to mental health support • Flexible working culture that promotes work-life balance

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