Job title: Principal Data Engineer
Job type: Permanent
Emp type: Full-time
Skills: bi data analytics
Salary type: Annual
Salary: negotiable
Location: Sydney
Job published: 26-06-2025
Job ID: 51530

Job Description

  • Permanent Role

  • Location: Sydney (must have full working rights)

  • 3 days WFO, 2 days WFH

  • Salary: $170,000 - $180,000 + super + share options. 

Principal Data Engineer – Own the Technical Vision

As a Principal Data Engineer, you’ll take full ownership of the technical direction across the data engineering function — selecting the right tools, designing resilient systems, and making informed trade-offs where performance, cost, usability, and scale intersect. You’ll build with purpose — not just clean code, but clear, valuable outcomes.

We’re looking for someone with a strong software engineering background who now specialises in data engineering to help shape and scale the data strategy of a high-growth, VC backed Tech company reshaping the insurance experience.

You understand modern data platforms, data modelling best practices, and how to design ETL/ELT pipelines that are scalable, maintainable, and production-ready. You think beyond pipelines — you think about data as a product.

What sets you apart:

  • You've worked in small to medium-sized businesses where you’ve had to lead technical decision-making, take ownership of data platforms end-to-end, and stay hands-on.

  • You apply software engineering principles to data platform design — from architecture to automation to testing and have worked with Product and Engineering teams.

  • You’ve built or scaled data platforms and understand the system holistically: storage, orchestration, transformation, data quality, security and access layers.

  • You're experienced in working through technical trade-offs: batch vs real-time, cost vs complexity, performance vs flexibility — and you know how to explain and justify your choices.

  • You don’t just default to a single solution — you approach problems by exploring multiple paths and designing fit-for-purpose outcomes.

  • You work well in ambiguous environments, translating evolving business needs into robust technical solutions through strong stakeholder engagement.

  • You bring a data-as-a-product mindset, designing pipelines and models that are reusable, observable, and built to scale.

What You Bring:

  • 6–8+ years building and scaling data platforms, including warehouse design, data governance, and managing large-scale data environments.

  • Expert in SQL and Python, with production-ready code for both batch and real-time use cases.

  • Strong experience with ETL/ELT and orchestration tools, with a sharp eye for performance and optimisation.

  • Cloud-native mindset, confident working with Snowflake (or similar) and the wider AWS (or comparable cloud) toolbox: S3, Lambda, Step Functions, Glue.

  • Bonus: Experience with dbt and modular SQL transformations is a strong plus.

 

If this sounds like you reach out to ailbhe@theonset.com.au. 

 

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