Lead Data Engineer

Location: QLD/WA/ACT/VIC (Hybrid).

Data Engineers prepare raw data for analytical or operational uses. They make data accessible so that it can be used for optimisation, delivery of services and enhanced analytics solutions.

Key Duties and Responsibilities

- Support in the delivery of data assets by contributing to improving data management capabilities, including building data integration applications that extract
- Transform, and load (ETL) data and metadata into data warehouses + Data Lake (RDBMS/HDFS)
- Undertake analysis, design, development, prototyping, testing and maintenance activities in a Teradata EDW environment
- Contribute to building and maintaining automated data integration applications by developing complex SQL programs within a Teradata EDW environment
- Perform analysis of technical requirements to support project evaluation with proposed solutions
- Ensure excellent data quality and high standards in Management Information solutions
- Development of ELT solutions using a variety of industry tools including SQL Assistant, Terada Studio Viewpoint, Pcom and Control-M
- Write/explain technical systems, problems and outcomes using unambiguous language to non-technical staff
- Robust focus on data integrity between source and destinations systems
- Analyse and evaluate complex business process and requirement
- Work with stakeholders to assemble large, complex data sets that meet current and potential business requirements
- Design and implement data flows connecting operational systems, using data analysis and modelling to build, maintain, and optimise data structures that support controlled data extraction for analytics and business intelligence




- Manage the build of data streaming systems, and development of management information solutions
- Manage the design, development and maintenance of enterprise data warehouse, data lake and data engineering solutions
- Lead the optimisation of data extraction solutions, providing technical guidance on complex query and programming functions to deliver data outcomes aligned to stakeholder and agency requirements
- Perform analysis on data and processes to address business questions, identify opportunities for improvement and provide support to staff
- Manage the development of data engineering frameworks and best practices for processes aimed at enhancing the availability, security and performance of data assets
- Review and prepare corporate and technical documentation for review by senior staff
- Provide feedback to staff and stakeholders to improve quality, consistency and accuracy of decision making
- Lead collaboration across cross-functional agile teams to deliver data engineering solutions
- Lead and manage team operations to deliver business and strategic outcomes, setting priorities and allocating resources effectively
- Lead and manage staff to enhance performance and engagement by providing coaching, developing capabilities, managing performance, and supporting health and well-being




- Act with integrity by promoting workplace practices aligned with the APS Values and the APS Code of Conduct
- Exercise delegation in accordance with legislation and guidelines

Technical Skills

- recognise and initiate opportunities to re-use and align data models
- undertake data profiling, source system analysis and synthesis, and support the end use of data
- use metadata repositories to support complex data and systems integration impact analysis and business outcomes
- design, build and test complex or large data products using agreed standards, technologies and access methods to deliver repeatable, reusable solutions and strengthen team capability in data integration services
- apply expert skills in data quality, cleansing and validation
- promote the strategic data vision through effective work practices and active participation in collaborative forums
- translate and present technical information for non-technical audiences

Selection Criteria

- Has a comprehensive knowledge of protocols associated with data access.
- Is an expert resource on different methods of data editing and advises others Can assess current editing methods critically Can build capability of others in data editing concepts and methods
- Data integrity and quality assurance: Level 3 (DCF)
- Is an expert resource in the use of measures for data quality assurance, the interaction of those measures, and their application in conjunction with one another Can advise others on the use of data quality measures to make accurate assessments of data fitness-for purpose (including trustworthiness and accuracy) Is an expert resource on ensuring data integrity acro

📌 Lead Data Engineer (Canberra)
🏢 Pinaka
📍 Canberra