Job Description
Job description
Seeking a Data Engineer with experience in Azure Data Factory, Azure DevOps, CI/CD, and Git version control
The Department
This Australian government department is crucial in developing policies and practices for the nation’s various sectors. It emphasizes sustainability and productivity, while also ensuring biosecurity to protect against pests and diseases.
The department supports scientific research and data collection to guide policy decisions and foster innovation. It also facilitates trade, helping Australian products reach international markets. One of its key goals is to achieve a $100 billion sector by 2030.
Job details
Looking for a Data Engineer to join the Digital Transformation Program to work across several data and analytics platforms. The candidate will develop and optimise data pipelines in Azure Databricks, with a strong focus on Python and SQL. The candidate will have expertise in Azure Data Factory, Azure DevOps, CI/CD, and Git version control, as well as a deep understanding of Kimball dimensional modelling and Medallion architecture. This role requires strong collaboration skills to translate business requirements into effective technical solutions.
Preferred Skills & Experience:
Strong proficiency in Python for data transformation, automation, and pipeline development.
Advanced SQL skills for query optimisation and performance tuning in Databricks Notebooks.
Hands-on experience with Azure Databricks for large-scale data processing.
Expertise in Azure Data Factory for orchestrating and automating data workflows.
Experience with Azure DevOps, including setting up CI/CD pipelines and managing code repositories with Git.
Strong understanding of Kimball dimensional modelling (fact and dimension tables, star/snowflake schemas) for enterprise data warehousing.
Knowledge of Medallion architecture for structuring data lakes with bronze, silver, and gold layers.
Familiarity with data modelling best practices for analytics and business intelligence.
Strong analytical and problem-solving skills with a proactive approach to identifying and resolving issues.
Excellent collaboration and communication skills, with the ability to engage both technical and business stakeholders effectively.
Essential criteria
Demonstrated experience in developing ETL/ELT processes for complex and/or large data movement, transformation and/or visualisations, particularly in a cloud environment.
Experience preparing data optimised for query performance in cloud computed engines. E.g. • Distributed computing engines (Spark) • Azure SQL • Python • R
Experience working collaboratively within agile development teams and with DevOps practices
Strong problem-solving skills, with the ability to analyse and resolve complex integration challenges.
Contract: 4-month Contract with 1 x 12 Months extensions.
Security Required: Must have a Baseline security clearance
Location -Canberra / Hybrid Based
How to Apply
Please upload your resume to apply. Candidates will need to be willing to undergo pre-employment screening checks which may include, ID and work rights, security clearance verification and any other client requested checks
Closing date: Sunday 16 February 2026 by +am
Call Joanne Finchett on 0480XXXXXX or email Joanne@whizdom.com.au for any further information
Seeking a Data Engineer with experience in Azure Data Factory, Azure DevOps, CI/CD, and Git version control
The Department
This Australian government department is crucial in developing policies and practices for the nation’s various sectors. It emphasizes sustainability and productivity, while also ensuring biosecurity to protect against pests and diseases.
The department supports scientific research and data collection to guide policy decisions and foster innovation. It also facilitates trade, helping Australian products reach international markets. One of its key goals is to achieve a $100 billion sector by 2030.
Job details
Looking for a Data Engineer to join the Digital Transformation Program to work across several data and analytics platforms. The candidate will develop and optimise data pipelines in Azure Databricks, with a strong focus on Python and SQL. The candidate will have expertise in Azure Data Factory, Azure DevOps, CI/CD, and Git version control, as well as a deep understanding of Kimball dimensional modelling and Medallion architecture. This role requires strong collaboration skills to translate business requirements into effective technical solutions.
Preferred Skills & Experience:
Strong proficiency in Python for data transformation, automation, and pipeline development.
Advanced SQL skills for query optimisation and performance tuning in Databricks Notebooks.
Hands-on experience with Azure Databricks for large-scale data processing.
Expertise in Azure Data Factory for orchestrating and automating data workflows.
Experience with Azure DevOps, including setting up CI/CD pipelines and managing code repositories with Git.
Strong understanding of Kimball dimensional modelling (fact and dimension tables, star/snowflake schemas) for enterprise data warehousing.
Knowledge of Medallion architecture for structuring data lakes with bronze, silver, and gold layers.
Familiarity with data modelling best practices for analytics and business intelligence.
Strong analytical and problem-solving skills with a proactive approach to identifying and resolving issues.
Excellent collaboration and communication skills, with the ability to engage both technical and business stakeholders effectively.
Essential criteria
Demonstrated experience in developing ETL/ELT processes for complex and/or large data movement, transformation and/or visualisations, particularly in a cloud environment.
Experience preparing data optimised for query performance in cloud computed engines. E.g. • Distributed computing engines (Spark) • Azure SQL • Python • R
Experience working collaboratively within agile development teams and with DevOps practices
Strong problem-solving skills, with the ability to analyse and resolve complex integration challenges.
Contract: 4-month Contract with 1 x 12 Months extensions.
Security Required: Must have a Baseline security clearance
Location -Canberra / Hybrid Based
How to Apply
Please upload your resume to apply. Candidates will need to be willing to undergo pre-employment screening checks which may include, ID and work rights, security clearance verification and any other client requested checks
Closing date: Sunday 16 February 2026 by +am
Call Joanne Finchett on 0480XXXXXX or email Joanne@whizdom.com.au for any further information
💡 Quick Summary
Seeking a career-building opportunity? The Senior Data Engineer position is now open for candidates interested in the IT Engineer & Developer Jobs sector. This role in Canberra offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in IT Engineer & Developer Jobs is a plus.