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Senior Data Engineer - Data Platform & Engineeringcarsales · Melbourne, VIC, au
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Senior Data Engineer - Data Platform & Engineering

🗓️ Posted 2026-09-03 Melbourne, VIC, au Full-time Hybrid ICT
💰 Salary Not shared 📊 Market A$10,000–A$15,000/mo

About the Company

At carsales, we're all about making buying and selling a great experience. Since 1997, we've been evolving with the new economy to help people choose how they move - today and tomorrow. With a vision to be the global leader in online vehicle marketplaces, we're transforming how people buy and sell across the world. We discover new ideas and bring them to life. We continue to grow, and we continue to evolve - and we're not afraid to take bold steps to get there.

About the Role

Our Data Team has embarked on an exciting phase of transformation anchored to our vision of turning carsales' data into compounding advantage - for every buyer, seller, dealer and team and in this unique role you will collaborate closely with our Product & Technology Teams in delivery of our collaboratively built strategy and roadmaps, to help understand customer lifecycle, drive engagement and execute on new products with customer experience always top of mind. A career in Data at carsales means being at the heart of decision-making, powering the insights behind every product, feature, and experience we deliver to millions of users.

Responsibilities

  • ● You will own a significant domain of our data platform and be a technical anchor for the wider team.
  • ● You will own the reliability, quality, and evolution of a significant portion of our data platform, built on Snowflake, dbt Cloud, RabbitMQ, Postgres, and GitHub Actions.
  • ● You will lead performance tuning and cost optimisation across our Snowflake environment - query profiling, micro-partition analysis, clustering strategy, and warehouse configuration.
  • ● You will design model architecture in dbt Cloud, enforce testing standards, and guide the team on incremental strategy and modelling best practice.
  • ● You will architect scalable, fault-tolerant data pipelines and define standards for error handling, observability, and pipeline design.
  • ● You will act as a technical representative for DPE with product, commercial, and analytics stakeholders, translating business requirements into data engineering solutions.
  • ● You will own significant platform domains and act as the escalation point for incidents within them - driving root cause analysis and systemic reliability improvements.
  • ● You will actively develop the capability of the wider team through mentoring, code review, and knowledge sharing, particularly in high-risk or concentrated-expertise areas.
  • ● You will evaluate and recommend AI tooling for the team, with a focus on responsible use, reliability, and auditability of AI-augmented pipelines.

Requirements

  • ● Deep expertise in SQL and Snowflake - clustering, pruning, warehouse sizing, result

Benefits

  • ● Recognition as one of Australia's Best Workplaces by Great Place to Work , a Family Friendly Workplace, a WORK180 endorsed employer.
  • ● A highly engaged, collaborative team where you'll learn from exceptional talent.
  • ● 24 weeks paid parental leave for primary caregivers, four weeks for secondary caregivers, and six weeks paid gender-affirming care leave.
  • ● Regular hackathons, continuous learning opportunities, and wellbeing initiatives that support your mental, emotional, and physical health.
  • ● Hybrid working - combining the flexibility of remote work with the energy and connection of in-person collaboration.
  • ● A range of policies and leave options to support your wellbeing.