- Exposure to complex, mission‑critical environments
- Hybrid Working Arrangements - 50% WFH
- Contribute to a high-profile government transformation Program

About the Organisation

Our client is a large and complex government organisation undergoing significant digital transformation initiatives to enhance data-driven decision making, operational efficiency, and business intelligence capabilities. The organisation is investing heavily in up-to-date data platforms, data governance, analytics, and cloud technologies to maximise the value of enterprise data assets.

About the Role

We are seeking a highly skilled Senior Data Engineer to join a high-performing Data Engineering team. In this role, you will contribute to the establishment and ongoing support of enterprise-scale data warehouses, cloud-based data lakes, and analytics platforms. You will be responsible for developing and maintaining ETL/ELT pipelines, data integration solutions, automation frameworks, and data engineering capabilities across both on-premises and cloud environments. Working closely with Data Governance, Data Science, Business Intelligence, and business stakeholders, you will play a critical role in delivering reliable, scalable, and secure data solutions that support reporting, analytics, operational decision-making, and AI/ML initiatives.

Key Accountabilities and Outcomes

- Deliver enterprise-scale data engineering functions and capabilities.
- Establish and maintain data storage platforms for structured and unstructured data.
- Develop and maintain scalable ETL/ELT pipelines within complex operational environments.
- Manage and support on-premises and cloud-based data analytics platforms.
- Design, establish, and maintain enterprise data warehouses and data lakes.
- Source, integrate, and manage data from multiple systems including SQL Server, Oracle, cloud platforms, and APIs.




- Develop and maintain data models to support reporting, analytics, and business intelligence requirements.
- Create and manage SQL and Python-based data workflows.
- Support data integration, orchestration, automation, scheduling, logging, auditing, and version control processes.
- Implement role-based access controls and enterprise data authorisation models.
- Ensure compliance with privacy, confidentiality, security, and data governance requirements.
- Deliver high-quality data solutions for reporting, analytics, data sharing, and business intelligence.
- Support environment management and deployment pipelines across Development, Test, and Production environments.
- Perform platform optimisation and improve data pipeline performance and reliability.
- Undertake testing, validation, and continuous improvement of data pipelines.
- Collaborate with Data Governance, Data Science, and Business Intelligence teams to deliver scalable solutions.
- Maintain comprehensive documentation including business glossaries, semantic layers, data models, data flows, and business rules.
- Apply Git-based version control and CI/CD best practices.
- Work closely with business stakeholders to translate requirements into practical data engineering solutions.
- Mentor junior team members and contribute to capability uplift across the organisation.
- Drive innovation and continuous improvement across data engineering platforms, tools, and practices.

Desired Experience and Capabilities





- Proven experience working as a Senior Data Engineer within large and complex organisations.
- Minimum 5 years' experience developing and maintaining scalable ETL/ELT pipelines.
- Strong experience establishing enterprise data engineering capabilities including data storage, data integration, ETL/ELT, orchestration, automation, logging, auditing, and version control.
- Extensive experience managing structured and unstructured data in enterprise environments.
- Strong expertise in SQL and Python development.
- Proven experience with data warehousing, data lakes, and modern analytics platforms.
- Experience designing and implementing data integration and migration solutions across complex datasets.
- Strong understanding of both on-premises and cloud-based data platforms.
- Experience implementing data governance, security controls, role-based access controls, and data management practices.
- Strong experience applying optimisation techniques to improve platform performance.
- Experience with DevOps, DataOps, CI/CD pipelines, and deployment automation.
- Hands-on experience with GitHub, Bitbucket, or similar version control platforms.
- Experience using collaboration and project management tools such as Jira and Confluence.
- Experience supporting data science, machine learning, analytics, and business intelligence workloads.
- Excellent written, verbal, and stakeholder engagement skills.

Preferred Qualifications

- Tertiary qualifications in Information Technology, Computer Science, Data Engineering, Software Engineering, or a related discipline.
- Relevant cloud certifications across Microsoft Azure, AWS, or Google Cloud Platform.
- Experience with modern analytics, machine learning, and AI-enabled data platforms.
- Experience working within highly regulated enterprise or government environments.
- Only Permanent Residents or AU citizens can apply

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📌 Senior Data Engineer (Parramatta)
🏢 TEKsystems
📍 Parramatta