Data Platform Engineer: Scale Pipelines & Self-Service

Apply; Australia; Hybrid; AUD 150,000 - 190,000; Full time

Job summary

Xero is seeking a data platform engineer to design and build scalable data solutions from ingestion to modelling and platform tooling. You will own complex technical problems end to end, driving automation and high data quality across the system.

You will join a collaborative Data Engineering team that values strong engineering practices, IaC with Terraform, and close partnership with product and security teams to deliver trusted data products and self-service capabilities for the business.

Qualifications

• Hands-on experience with end-to-end data platforms.
• Experience with orchestration tools such as Snowflake, dbt, and Prefect.
• Infrastructure as code using Terraform.
• Proficient in AWS and building CI/CD pipelines.
• Strong data modelling, transformations, and data quality practices.

Responsibilities

• Design and build data solutions from ingestion through modelling and platform.
• Own complex technical problems end to end and drive reliability.
• Contribute to automation and self-service data capabilities.
• Collaborate with product and security teams to solve customer problems.

Skills

Snowflake

dbt

Prefect

Terraform

AWS

Data modelling

Data quality

CI/CD

Testing

Observability

Job description

Xero is seeking a data platform engineer to design and build scalable data solutions from ingestion to modelling and platform tooling. You will own complex technical problems end to end, driving automation and high data quality across the system.

You will join a collaborative Data Engineering team that values strong engineering practices, IaC with Terraform, and close partnership with product and security teams to deliver trusted data products and self-service capabilities for the business.