Senior Data Platform Engineer – Scale Reliable Pipelines

carsales; Australia; Hybrid; AUD 140,000 - 190,000; Full time

Benefits offered by this job

Hybrid work model

Wellbeing initiatives

Flexible working arrangements

Parental leave

Job summary

carsales is seeking a Senior Data Engineer to own a significant portion of our Data Platform Engineering. You will be a technical anchor, collaborating with Product & Technology teams to translate requirements into scalable data pipelines.

You’ll optimize Snowflake, design in dbt Cloud, and mentor the team while exploring AI tooling with a focus on reliability and privacy. This role embraces hybrid working and supports wellbeing and learning.

Qualifications

• Deep expertise in SQL and Snowflake with clustering and performance tuning.
• Expert-level dbt Cloud experience in model architecture and testing standards.
• Strong Python engineering practices for production pipelines.
• Experience with event-driven architectures using RabbitMQ.
• Solid production PostgreSQL experience and data governance knowledge.
• Familiarity with AI tooling in development lifecycles and cost considerations.
• Excellent collaboration and communication aligned with customer-obsessed values.

Responsibilities

• Own the reliability, quality, and evolution of a major portion of the data platform.
• Lead performance tuning and cost optimisation across Snowflake environments.
• Design model architecture in dbt Cloud and guide incremental strategies.
• Architect scalable data pipelines with robust error handling and observability.
• Translate business requirements into data engineering solutions for stakeholders.
• Mentor teammates through code reviews and knowledge sharing.
• Evaluate AI tooling for reliability, privacy, and auditability.

Skills

SQL

Snowflake

dbt Cloud

Python

PostgreSQL

RabbitMQ

GitHub Actions

C#

Data governance

Collaboration & communication

Tools

Snowflake

dbt Cloud

RabbitMQ

PostgreSQL

GitHub Actions

.NET/C#

Job description

carsales is seeking a Senior Data Engineer to own a significant portion of our Data Platform Engineering. You will be a technical anchor, collaborating with Product & Technology teams to translate requirements into scalable data pipelines.

You’ll optimize Snowflake, design in dbt Cloud, and mentor the team while exploring AI tooling with a focus on reliability and privacy. This role embraces hybrid working and supports wellbeing and learning.