Data Engineer: Snowflake, dbt & Azure Pipelines

SKL Technology; Sydney; Hybrid; AUD 120,000 - 180,000; Full time

Job summary

SKL Technology in Sydney is seeking a hands-on Data Engineer to help build a modern cloud data platform. You’ll work across Snowflake, dbt and Azure Data Factory, focusing on pipelines, data models and improving data quality for reporting and analytics.

Join a growing Data & Insights team shaping the platform as it evolves, with opportunities to influence architecture and data standards while delivering practical data solutions for business stakeholders.

Qualifications

• Commercial experience as a Data Engineer.
• Strong hands-on Snowflake experience.
• Experience building and supporting production data pipelines.
• Good understanding of dimensional modelling and modern data warehouse design.
• Experience working with data quality issues across multiple source systems.

Responsibilities

• Build and maintain ELT pipelines into Snowflake.
• Develop, test and maintain dbt models.
• Build and manage ingestion and orchestration pipelines using Azure Data Factory.
• Create well-structured, analytics-ready datasets.
• Design dimensional models to support reporting and analytics.
• Work with data from operational, digital and legacy source systems.
• Investigate and resolve data quality issues such as duplicates, inconsistent keys and incomplete records.
• Support Power BI reporting through well-modelled and high-performing datasets.
• Work with business and data stakeholders to turn requirements into practical data solutions.
• Apply good engineering practices across Git, testing, CI/CD, code review and documentation.
• Contribute to the ongoing development of data standards, governance and platform practices.

Skills

Data engineering

Snowflake

ELT pipelines

Dimensional modelling

Data quality

Tools

dbt

Azure Data Factory

Power BI

Job description

SKL Technology in Sydney is seeking a hands-on Data Engineer to help build a modern cloud data platform. You’ll work across Snowflake, dbt and Azure Data Factory, focusing on pipelines, data models and improving data quality for reporting and analytics.

Join a growing Data & Insights team shaping the platform as it evolves, with opportunities to influence architecture and data standards while delivering practical data solutions for business stakeholders.