Canberra, ACT (The agency supports and promotes flexible working, including remote options on negotiation and where appropriate based on the specifics of the role)
Ongoing/Non-Ongoing (The position is Ongoing, however Non-Ongoing employment may be offered for an initial engagement of up to 12 months)
$102,268 - $116,424 + Superannuation
About the Branch
The Transformation Office works collaboratively to deliver reliable, trusted data and products. Through future strategy, business architecture, strong governance, and efficient delivery, we enable stakeholders to make faster, more informed decisions. This ensures regulatory compliance and supports the growth of the carbon economy.
The branch is responsible for two key areas: delivering the CER Change Program and managing CER’s Data Office. Both are essential to achieving CER’s outcomes - reducing Australia’s greenhouse gas emissions and supporting sustainable biodiversity management using market-based mechanisms.
Branch Objectives
Provide advice, capability uplift, support, and governance to the agency’s transformation program design and implementation, ensuring it is viable, desirable, and sustainable.
Deliver quality data, insights, reports, and dashboards to internal and external stakeholders. Improve and operate CER’s enterprise data environment, ensuring data and insight quality inform strategic decisions and support business transformation.
Model and embed best practices across data, portfolio, value, and product management in delivering our strategic objectives and outcomes for the agency.
Support the engineering teams, under the CIO, to realise efficiency and reuse while developing new and enhanced systems for CER.
Branch Functions
Enterprise Business Architecture
Enterprise Data Architecture
Value Management
Data Governance
Product Management
Organisational Change Management
Data Operations
Geospatial Services
Data Services Delivery
Branch Budget, Finance, and Contract Management
About the Section
The Data Innovation and Tools section supports the agency to unlock the potential of our data to drive innovation and compliance for the agency.
Specific responsibilities include:
Support the Chief Data Officer and the agency in delivering the Data and Reporting Strategy to improve data governance.
Support business areas to improve data transparency under the agency’s open data policy.
Promote and facilitate sharing of scheme data across Commonwealth agencies
Provide a point of liaison between the Digital Services branch and business areas on the delivery of data services infrastructure under the Data Services Roadmap.
Build agency analytics capability, and utilise data analytics and geospatial analytics to:
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Support the integrity of agency schemes by detecting, predicting and preventing non-compliance.
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Provide insights and evidence to decision-makers and other stakeholders on the behaviour of our clients and the trends and outcomes in our schemes.
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Identify and deliver business improvements and efficiencies.
Support innovative approaches to reduce regulatory burden, support self-service approaches, improve efficiency and encourage compliance with our schemes by:
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Working with business areas to identify, prioritise and implement innovative approaches to scheme and participant needs or problems.
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Provide targeted skills and resources to consult on, design, build and/or roll out strategic initiatives that result in improvements to internal processes, data collection, client compliance, and communication related to scheme operations.
Role Responsibilities and Duties
Under general direction, the APS Level 6 Data/Analytics Engineer will be responsible for:
Contributing to and supporting requirements gathering, design, development, testing, maintenance and enhancement of analytics ready datasets and data products in line with agreed architectures, standards and delivery priorities.
Building and maintaining data transformations, validation logic and supporting artefacts (e.g. SQL/python scripts, notebooks, configuration files) to enable reliable data pipelines that support reporting, analytics and data publication.
Undertaking data quality checks and investigations in non-production and production environments, identifying anomalies or issues and working with senior team members to implement appropriate remediation.
Preparing and maintaining technical documentation, validation evidence and deployment artefacts to support governance, audit and release management processes.
Responding to BAU support requests and incidents in accordance with agreed processes, escalating complex or high risk issues where appropriate.
Communicating progress, risks, dependencies and issues clearly to supervisors and team members, supporting effective planning and delivery.
Building and maintaining productive working relationships with technical and non-technical internal stakeholders and team members, operating as a reliable, professional and collaborative contributor.
Knowledge, Skills and Attributes
Experience in the following is essential:
Demonstrated experience building or supporting analytics ready datasets, data pipelines or reporting solutions.
Experience developing data transformations and validation logic using SQL and/or scripting languages.
Ability to script and automate workflows using Python or R, including in cloud based analytics environments (e.g. Azure Synapse or similar).
Experience undertaking data quality checks, investigating data issues and contributing to resolution activities.
Experience supporting data products or pipelines in a BAU operational environment.
Strong communication skills, with the ability to work collaboratively with technical and non technical stakeholders.
Experience working within Agile or iterative delivery frameworks in a leadership or senior technical role Demonstrated experience building or supporting analytics ready datasets, data pipelines or reporting solutions.
Experience in the following is desirable but not mandatory:
Familiarity with cloud based data platforms and services (e.g. Microsoft Azure or equivalent) for data storage and processing.
Experience working within agile delivery frameworks, including contributing to sprint planning, stand ups and retrospectives.
Experience preparing and maintaining technical documentation to support governance, audit and operational requirements.
Exposure to enterprise data standards, analytics engineering patterns or modern data platform architectures.
Familiarity with DevOps or CI/CD practices for data and analytics solutions
Applications close 11.30pm on Sunday, 5 April 2026