Hybrid Data Platform & Analytics Lead

Macquarie Group; Sydney; Hybrid; AUD 130,000 - 180,000; Full time

Benefits offered by this job

Hybrid working

Recharge days

Wellbeing support

Airpowerment Fund

Job summary

Airtasker is seeking a Data Platform Engineer to build and operate our data infrastructure powering reporting, analytics and AI products. You will own key pieces of the platform, including dbt models, Dagster pipelines, and ingestion connectors, while expanding capabilities across cloud infra, governance, and AI-enabled pipelines.

You will collaborate with analysts, data scientists and engineers to automate workflows and improve data platform reliability, security and self-service analytics

Qualifications

• Experience building data pipelines and analytics infrastructure.
• Strong understanding of the data lifecycle from ingestion to consumption.
• Hands-on experience with dbt, SQL and Python to support analytics.

Responsibilities

• Build and maintain core data pipelines using dbt, SQL and Python.
• Scale data platform on AWS (Terraform) for reliability and cost efficiency.
• Enhance orchestration with Dagster and improve monitoring and resilience.
• Deliver self-serve analytics by providing foundational datasets and tooling.
• Improve data quality with CI/CD, testing and documentation.

Skills

SQL

dbt

Python

Data modeling

CI/CD

Version control

Data pipelines

Cloud AWS

Tools

Snowflake

Airflow

Dagster

Terraform

AWS

S3

Job description

Airtasker is seeking a Data Platform Engineer to build and operate our data infrastructure powering reporting, analytics and AI products. You will own key pieces of the platform, including dbt models, Dagster pipelines, and ingestion connectors, while expanding capabilities across cloud infra, governance, and AI-enabled pipelines.

You will collaborate with analysts, data scientists and engineers to automate workflows and improve data platform reliability, security and self-service analytics