Data Engineer – Data Platforms

Xero

Data Engineer building scalable Snowflake, AWS, and Terraform data platforms at Xero. Developing ingestion pipelines, data models, real-time products, and self-service tooling.

Posted 8/5/2026full-timeMelbourne • 🇦🇺 AustraliaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and building scalable data solutions, with a strong focus on data platform infrastructure, data quality management, and automation. Proficient in leveraging tools like Snowflake, dbt, and Terraform to enhance data capabilities and operational efficiency.

Highest-signal resume keywords

SnowflakeTerraformData ModellingCI/CD PipelinesAWS

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Engineering FundamentalsData Pipeline DesignData Quality ManagementOrchestration ToolsAutomated Self-Service ToolsIncident ResponseRobust Testing

Soft Skills

Problem-SolvingCollaboration

Tools & Technologies

DbtPrefectFlinkAWS

Industry Keywords

Infrastructure as CodeData SolutionsData PlatformsMonitoring

Tech Stack

Tools & technologies

AWSTerraform

About the role

Key responsibilities & impact

Design and build scalable data solutions from ingestion through modelling and underlying platform infrastructure
Own complex technical problems end to end
Raise technical standards and improve data quality
Create a more self-service data platform
Expand core data platform capabilities and infrastructure using Snowflake, dbt, Prefect, and AWS
Advance Infrastructure as Code practices by deploying and operating platform components with Terraform
Build raw data intake pipelines and core data models for downstream teams
Develop real-time data products and behavioural analytics platforms using tools such as Flink
Manage production systems, monitoring, and incident response
Build automated self-service tools to improve developer productivity
Collaborate with data consumers, engineering teams, product teams, and security teams

Requirements

What you’ll need

Strong understanding of end-to-end modern data platforms
Hands-on experience with orchestration and tools such as Snowflake, dbt, and Prefect
Solid Infrastructure as Code practices, particularly Terraform
Experience building, deploying, and operating data platforms
Experience writing robust tests
Experience implementing CI/CD pipelines
Comfortable working within AWS environments
Deep understanding of data engineering fundamentals, including data modelling, transformation, pipeline design, and data quality management
Experience managing production systems, monitoring, incident response, and automated self-service tools
Strong problem-solving skills and ownership
Ability to collaborate effectively with data consumers and engineering teams

Benefits

Comp & perks

Hybrid working model combining remote work and office spaces
Flexible working model supporting work-life balance
Team boost days to foster connection and alignment
Knowledge sharing and regular constructive feedback
Fair and supportive recruitment experience
Recruitment process adjustments or accommodations, including modified interview format, additional assessment time, and assistive technology
Employment subject to satisfactory background checks