Job Description
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Sydney | Hybrid
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Permanent Role
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The Opportunity
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We're looking for an experienced Data Engineer to join a growing Data & Insights team and help build out a modern cloud data platform.
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This is a hands‐on role working across Snowflake, dbt and Azure Data Factory, with a solid focus on building pipelines, developing data models and improving the quality and usability of data across the business.
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You'll be joining while the platform is still evolving, so there's plenty of opportunity to contribute to how things are built rather than stepping into a purely maintenance‐focused role.
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If you enjoy building data solutions, working through complex source data and seeing your work used across reporting and analytics, this should be a good fit.
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What You'll Be Working On
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Build and maintain ELT pipelines into Snowflake.
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Develop, test and maintain dbt models.
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Build and manage ingestion and orchestration pipelines using Azure Data Factory.
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Create well‐structured, analytics‐ready datasets.
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Design dimensional models to support reporting and analytics.
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Work with data from operational, digital and legacy source systems.
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Investigate and resolve data quality issues such as duplicates, inconsistent keys and incomplete records.
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Support Power BI reporting through well‐modelled and high‐performing datasets.
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Work with business and data stakeholders to turn requirements into practical data solutions.
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Apply good engineering practices across Git, testing, CI/CD, code review and documentation.
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Contribute to the ongoing development of data standards, governance and platform practices.
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What We're Looking For




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The key requirements for this role are:
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Commercial experience working as a Data Engineer.
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Strong hands‐on Snowflake experience.
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Experience building and supporting production data pipelines.
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Good understanding of dimensional modelling and modern data warehouse design.
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Experience working with data quality issues across multiple source systems.
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You'll need to be comfortable working independently, taking ownership of your work and operating in an environment where the data platform is still being developed.
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Nice to Have
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Experience in any of the following would be useful, but isn't essential:
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Python.
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Power BI.
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Master data management or entity resolution.
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Customer matching or deduplication.
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iPaaS or integration platforms.
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AS400/iSeries or other legacy environments.
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Snowpark.
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ERP, ecommerce or high‐volume transactional data.
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Exposure to AI, automation or data governance initiatives.
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Why Consider This Role?
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This role offers a good balance between established technology and greenfield development.
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You'll be working with a modern Snowflake, dbt and Azure stack, while still having the opportunity to improve existing processes, build new pipelines and help shape how the data platform develops.
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You'll be part of a small, collaborative team where you can take ownership of your work, work directly with key stakeholders and see the impact of what you deliver.
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If you're a hands‐on Data Engineer with strong Snowflake, dbt and Azure Data Factory experience and you're looking for your next Sydney‐based opportunity, we'd be keen to hear from you.

📌 Data Engineer (New South Wales)
🏢 SKL Technology
📍 New South Wales