About the role
In this role, you’ll lead the evolution of our data warehouse capabilities by defining, implementing, and continuously improving processes and technologies that drive high-quality data solutions. You’ll provide technical leadership, champion best practices, and mentor junior team members to build a high-performing and collaborative data engineering culture.

Work type: 2-year fixed term contract.
Classification: Band 8, $122, 044 + super increasing to $125,701 + super from 1st July 2026. 

Key responsibilities include:

• Facilitate innovation and best practice approach in the department and push the boundaries of what is possible in delivering services for customer and community satisfaction. 
• Develop and maintain strategic networks with relevant key stakeholders within the field to fulfil the City’s strategic objectives. 
• Data Platform:
  • Carry out administrative tasks on the City’s Azure Databricks based data engineering environment including performance optimization, cost monitoring, availability monitoring and capacity planning
• Data engineering:
  • Participate in requirement and design workshops to provide input on feasibility and solution options

• Lead in the planning and estimation of data engineering tasks
• Design and implement ETL/ELT pipelines and dimensional models under a medallion architecture on the Azure Databricks platform
• Conduct unit testing and validation of your built solutions, and work with team to rectify any defects identified through their additional testing
• Maintain technical documentation of built solutions
• Establish and maintain DevOps practices for data engineering, including version control, and CI/CD pipelines for automating the testing, building, and deployment of data pipelines and related applications.
• Business support including responding to queries associated with the data warehouse and resolving related data issues 
• Advise team lead on opportunities for continuous improvement of processes and technologies for data engineering in line with industry best practice 

About you
To be successful in this role, you will have a tertiary qualification in Computer Science, Data Science, Information Management or equivalent plus relevant post-graduate qualifications, or an equivalent combination of formal training and at least 4 years’ experience in a similar role.

Essential Experience:

• Strong understanding of, and experience with,  ETL/ELT and data warehouse architectures, particularly Databricks and Azure Data Factory (ADF). Advanced skills in SQL and Python, as relevant to data ingestion and transformation in a data warehousing context.
• Demonstrated experience and knowledge of conceptual data models, dimensional data models and semantic layers, including collaborating on design with relevant stakeholders 
• Strong theoretical understanding and practical experience in Azure or a similar cloud ecosystem, with the ability to advise on solution architecture and awareness of performance and cost implications of design decisions in a data platform architecture
• Demonstrated skills to support, influence, and collaborate with stakeholders at all levels of the organization, including executive and senior management, including facilitation of workshops as required.
• Demonstrated experience providing technical thought leadership, and mentoring junior data engineers. Well-developed writing, presentation, and speaking skills to align with stakeholders and achieve support for task outcomes.

Preferred candidates will be required to undergo a National Police Check as part of the recruitment process (funded by the City).

If this sounds like the role for you, then click apply now! 

Child Safety Responsibilities   
We are committed to being a child-safe organisation and have zero-tolerance for child abuse. We have specific policies, procedures, and mandatory training in place to support employees, volunteers, and contractors to achieve and adhere to these commitments. Please read our Child Safe Standards Management Policy.  

Diversity and Inclusion  
At the City we want a workforce that reflects the community we live in. We welcome and embrace everyone, all people with their own unique experiences, and support and encourage all our employees to do their best work, have equal access to opportunities and a just working environment. For this reason, we particularly welcome and encourage applications from First Nations people, people with diverse cultural and linguistic backgrounds, from the LGBTQIA+ community, people with disability and people of all genders, ages and diverse experience.  

We are the City
From parks to offices, childcare centres to works depots, leisure facilities to the Wool Museum and waterfront, our team plays a vital role in shaping our vibrant and growing community. Our community counts on us to get the essentials right while looking for ways to go beyond. By listening, collaborating, and focusing on sustainability, we strive to do the basics brilliantly and create a lasting impact. If you’re ready to be part of something bigger, join us in shaping the future of Geelong.

We support accessibility and encourage discussions about any adjustments or support you may need during the recruitment process.

Applications and Enquiries

Click the Position Description link to view more information about this position.

Enquiries: Cameron Bartlett | Data Engineering and Insights Lead | Cameron.Bartlett@geelongcity.vic.gov.auXXXX@geelongcity.vic.gov.au

Click the Apply button to submit your application or find out more about this opportunity. If we can assist you with any reasonable adjustments in order to submit your application for this role, please contact the Talent Acquisition team via email at careers@geelongcity.vic.gov.au noting your preferred method of communication and contact details and a member of the team will be in touch.

We collect demographic data to help us learn who our advertisements are reaching and how we can reach an even more diverse audience.  We are committed to building a more diverse team. Your responses to our demographic questions are strictly confidential and will not be individually shared.

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