Senior Data Platform Engineer - Hybrid (Sydney)

Atlassian; Sydney; Hybrid; AUD 140,000 - 200,000; Full time

Benefits offered by this job

Hybrid work in Sydney

Airtasker credits

Tenure leave

Wellbeing support

Learning & development allowance

Job summary

Airtasker in Sydney is seeking a Data Platform Engineer to build and operate the data infrastructure powering reporting, analytics and AI products. You will own core data pipelines and trusted data models to support analytics and downstream use cases.

You will scale AWS-based data infrastructure, strengthen Dagster orchestration, and deliver self-service datasets and tooling to accelerate decision making. This is a Sydney-based role with 2 days in the office.

Qualifications

• Proficient in data modeling, transformation, and analysis.
• Hands-on experience with data pipelines using modern tools.
• Familiarity with CI/CD, testing, and documentation in data projects.
• Experience using Python for scripting, automation, or data manipulation.
• Strong SQL skills for data modeling and analytics.
• Ability to translate business problems into clear data models and pipelines.

Responsibilities

• Build and maintain core data pipelines using dbt, SQL, and Python for analytics.
• Scale AWS-based data infrastructure, including Terraform, for cost and reliability.
• Strengthen Dagster orchestration, monitoring, and operability of data jobs.
• Deliver self-service data and tooling to improve data accessibility.
• Apply software engineering practices to ensure robust, auditable data products.
• Collaborate with analysts, data scientists, and engineers to automate workflows.

Skills

SQL

Python

dbt

Dagster

Terraform

Airflow

Snowflake

AWS

Tools

Dagster

Terraform

Airflow

Snowflake

AWS

Job description

Airtasker in Sydney is seeking a Data Platform Engineer to build and operate the data infrastructure powering reporting, analytics and AI products. You will own core data pipelines and trusted data models to support analytics and downstream use cases.

You will scale AWS-based data infrastructure, strengthen Dagster orchestration, and deliver self-service datasets and tooling to accelerate decision making. This is a Sydney-based role with 2 days in the office.