We are seeking an experienced Senior Data Engineer to support and maintain enterprise data assets across cloud and enterprise data warehouse environments within a large Federal Government program.
This role will focus on operational data delivery, maintaining and improving data pipelines, month-end processing and ensuring the stability and quality of business-critical data services.
Initial 12-month contract with a further 12-month extension option
Open market hourly rates
Locations available in Melbourne, Sydney or Canberra
The opportunity
Working closely with business and technical teams, you will develop, maintain and optimise enterprise data pipelines, ETL processes and analytical code. You will lead technical activities from requirements analysis through to deployment and ongoing operational support.
Key responsibilities
Develop, maintain and optimise enterprise data pipelines and ETL processes
Develop SQL analytical and ETL code supporting enterprise reporting and analytics
Tune and optimise SQL code to improve performance and efficiency
Support daily data delivery, month-end processing and data-related requests
Translate business requirements into technical solutions and data assets
Lead technical implementation activities from analysis through to deployment
Conduct peer reviews of code, data models and technical designs




Maintain technical documentation, data dictionaries and implementation artefacts
Collaborate with business stakeholders, developers, testers and support teams
Contribute to backlog prioritisation, delivery planning and continuous improvement
Support knowledge transfer and capability uplift across the team
About you
Australian Citizenship is mandatory to work for this federal government body
Current NV1 AGSVA Clearance
Demonstrated experience developing and supporting enterprise data warehouse and data integration solutions
Strong SQL development, optimisation, tuning and code review experience
Technical capability across at least two of MS SQL, Teradata, Snowflake, Redshift or Databricks
Programming experience using SQL and languages such as Python, SAS, R or Java
Ability to interpret and apply data models, technical specifications and solution designs
Experience working within DevOps environments, including version control and software delivery practices
Robust communication and stakeholder engagement skills
Experience with AWS data technologies such as S3 and Glue, metadata-driven development frameworks, SAS, enterprise reporting platforms or Agile delivery environments will be highly regarded.
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📌 Aps6 Data Engineer (Melbourne)
🏢 Talent
📍 Melbourne