Lead Data Engineer – Data Engineering | Multiple locations | Baseline

Pinaka Technology Solutions; Canberra; Hybrid; AUD 130,000 - 170,000; Full time

Job summary

Pinaka Technology Solutions seeks a Lead Data Engineer to design and deliver enterprise data assets across data lakes and warehouses, in a hybrid environment. The role involves leading data integration, ETL/ELT, and data quality initiatives within a Teradata EDW context.

The successful candidate will collaborate with cross-functional teams, manage data engineering frameworks, and ensure data integrity and scalable insights for decision makers.

Qualifications

• Experience with data access protocols and data integrity measures.
• Experience in data editing and building data quality controls.
• Ability to ensure data integrity across lifecycle and support quality assurance.

Responsibilities

• Support delivery of data assets by improving data management and building data integration applications that extract, transform, and load data.
• Design, develop and maintain data flows to connect operational systems for analytics and BI.
• Lead and collaborate with cross-functional teams to deliver data engineering solutions.
• Manage enterprise data warehouse, data lake, and data engineering initiatives to optimize data extraction.

Skills

Data profiling

Metadata repos

Data quality

Data integration

ETL/ELT

SQL

Tools

Teradata Studio

SQL Assistant

Pcom

Control-M

Job description

Lead Data Engineer – Data Engineering | Multiple locations | Baseline

Lead Data Engineer

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

RFQ Details

• Citizenship: Australian citizenship is required.
• RFQ ID: LH-08526
• Agency: Services Australia
• Closing Date: Wednesday, 25 November 2026 11:59pm, Canberra time (Australia/Sydney)
• Estimated Start Date: Monday, 04 January 2027
• Initial Contract Duration: Up to 12 months
• Extension Term: Other (up to a maximum 24 months)
• Number of Extensions: Buyer has not provided these details
• Experience Level: Lead - EL1 equivalent
• Security Clearance: Must be able to obtain Baseline
• Location of Work: QLD, WA, ACT, VIC
• Working Arrangements: Hybrid (Labour Hire Worker is expected to work onsite for the first 6 weeks before a hybrid flexible working arrangement can be considered, unless otherwise negotiated)
• Maximum Hours: 50 hours per week

Job Details

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
• Strong 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

The buyer has specified that each candidate must provide a one page pitch to address all criteria specified. This is equal to 5000 characters.

Essential criteria

1. 1. Data access: Level 2 (DCF)

   Has a comprehensive knowledge of protocols associated with data access.

2. 2. Data editing: Level 3 (DCF)

   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

3. 3. 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 across its lifecycle, and advises others

4. 4. Data use and re-use: Level 3 (DCF)

   Is a leading strategic adviser on the use of organisational data assets Is an expert resource on the design and management of organisational data assets as open data. Promotes re-use and ongoing value of data across wider contexts, in accordance with legislative requirements and organisational guidelines (includes data sharing legislation)

5. 5. Improvement and Innovation - Data processes/systems and tools/products: Level 3 (DCF)

   Thinks strategically to assess current processes/systems and tools/ products across a broad context Develops improvements where needed and encourages others to think critically about processes/systems and tools/ products relevant to them Advises those leading changes to processes / systems and tools/ products, measures resultant benefits, and makes recommendations Understands the impact of new trends and innovations on organisational data processes, systems and tools, and products Maintains understanding of new trends and innovations relating to data processes, systems and tools, and products within the organisation and externally. Provides technical expertise for systems testing, including validating the quality of the testing approach and results

6. 6. Integrate data: Level 3 (DCF)

   Can perform and provide expert advice on data integration Can build capability of others in understanding and applying good data integration practice and principles Can write custom scripts and code (programming language) to integrate data Maintains understanding of new trends and innovations relating to integrating data (including Artificial Intelligence-based technologies) and develops skills in these where relevant

7. 7. Value organisational data as assets: Level 3 (DCF)

   Has a comprehensive understanding of the data assets available to the organisation and understands how these assets contribute strategic value Looks for new ways to obtain value from organisational data assets Can advise on how organisational data assets contribute value in broader data contexts Is an expert resource on the broader and strategic environment when drawing insights from data. Uses this expertise to make informed, evidence-based decisions and recommendations and act accordingly.