Analytics Engineer

@ Airtasker

About Airtasker

Hey there! Thanks for stopping by. We’re Airtasker, the tech company that connects people who need to get things done with those who have the skills to do it. Our mission is to empower people to realise the full value of their skills, not only for our users but also for our go-getter team.

Role Overview

The Analytics Engineer role at Airtasker is central to our growing Data Platform team. You will build, maintain, and scale the infrastructure that empowers data analysts, data scientists, and machine learning engineers. Your work will support robust data pipelines, cloud infrastructure, and self-service analytics, shaping our data ecosystem for efficiency and reliability.

What You'll Do

• Build and maintain clean, performant data models and transformation pipelines using dbt and SQL.
• Develop cloud data infrastructure on AWS with tools like Terraform.
• Enable self-service analytics by building foundational datasets and tooling.
• Promote software engineering best practices including version control, CI/CD, testing, and documentation.
• Collaborate with data analysts, data scientists, and engineers to address data needs.
• Support MLOps initiatives including deployment of models on AWS SageMaker.
• Automate processes using Python to enhance platform efficiency.

Who We're Looking For

An ideal candidate will have foundational data skills, strong SQL proficiency, and hands-on experience with dbt. Familiarity with cloud platforms (especially AWS), Terraform, and Python for scripting will be highly valued. A collaborative mindset, excellent problem-solving abilities, and a passion for data are essential.

Bonus Points

• Experience with a modern cloud data warehouse like Snowflake.
• Exposure to AWS data services (S3, Glue, Lambda).
• Familiarity with MLOps concepts or tools like SageMaker.

Our People Experience

Airtasker offers a unique blend of benefits that foster focus, flexibility, and growth:

• Thriving: Hybrid working, no Slack Fridays, quarterly Recharge Days, and wellbeing support.
• Rewarding: Airtasker credits, fair pay, and tenure leave rewards.
• Belonging: Initiatives like DAREtasker and celebration swap for inclusive cultural support.
• Growing: On-the-job learning, 360 performance reviews, and volunteer leave.
• Celebrating: Peer-nominated awards, Vibe Committee events, and birthday leave.

Key skills/competency

• SQL
• dbt
• AWS
• Terraform
• Python
• MLOps
• Data Pipelines
• CI/CD
• Data Modeling
• Collaboration