We’re entering a new chapter for Information Technology at Water Corporation as we deliver bold, future-focussed solutions. With the launch of our new Information and Technology Group Operating Model, we’re transforming how we deliver technology services, making them faster, more responsive, and more aligned with the needs of our business and customers. As part of this transformation, we’re hiring multiple new positions. These roles are key to shaping a vibrant, forward-thinking Information Technology Group - one that adds real value, delivers better outcomes, and works in smarter, more agile ways. It’s a strategic shift aligned with our organisational strategies, designed to modernise systems, embrace innovation, and create a more flexible, collaborative, and customer-centric IT environment. If you're equally excited about innovation, transformation, and making a meaningful impact, now is the perfect time to join us.
About the role
We are seeking a Senior Analyst – Data Engineering to join our Data & Analytics team within the Information & Technology Group. This is a senior technical specialist role, accountable for designing, building and supporting secure, scalable and high-performing data platform and pipelines that enable analytics, insights and data-driven decision-making across the business.
In this role, you will work at scale with modern cloud-native data platforms, building production-grade data pipelines and frameworks that collect, transform, model and serve high-quality data to analysts, data scientists and business stakeholders. You will also play a key role in mentoring others, driving innovation, and uplifting DataOps and engineering practices.
Real benefits that matter
- Real flexibility with options to work from home, 9-day fortnight, flexible work hours
- An additional 2 well-being days each year
- Access to long service leave pro rata after 3 years of service
- Generous co-contribution superannuation scheme, which offers up to 16%. This includes an 12% standard employer contribution, plus an additional 2% employer co-contribution that matches your own 2% contribution
- Purchase additional leave of up to 12 weeks or work 4 years at a reduced salary and take the fifth year off as paid leave
Discover more benefits we offer to support the unique and individual ways our employees live.
What the role will involve
- Design, build and optimise data pipelines, datasets and databases using cloud-based and big data platforms.
- Implement approved data product framework design patterns, including data ingestion, ELT processes, data modelling, data quality, monitoring, alerting and metadata management.
- Lead innovation by evaluating emerging data engineering and big data technologies and making recommendations for adoption.
- Develop and implement backup, recovery, migration and data population strategies.
- Execute and oversee testing and validation to ensure accuracy, reliability and quality of data transformations.
- Monitor production data products, proactively identifying performance and reliability improvements.
- Develop and maintain engineering standards, patterns and procedures.
- Coach and mentor team members on dataset design, database management and engineering best practices.
- Work closely with analysts and stakeholders to translate business needs into technical requirements and datasolutions.
- Provide third-level support and technical expertise for data platforms and products.
- Operate within DataOps, Agile, DevOps and IT service management frameworks.
Key skills and experience
Qualifications & Experience
- Degree qualification in a relevant discipline (e.g. Computer Science, Information Systems, Information Management).
- Substantial experience in software development and data engineering roles.
- Strong experience designing and building data transformation processes, data models, and data quality frameworks.
- Hands-on experience with cloud-native data and analytics platforms, particularly AWS and/or Databricks.
- Advanced experience in Python for data engineering and analytics use cases.
- Experience working in Agile/DevOps environments, using Git-based version control and modern IDEs.
- Exposure to machine learning engineering and MLOps concepts.
Technical Skills
Substantial experience using the following technologies to build and operate reusable, version-controlled data pipelines across Dev, Test, Prod environments is required.
- Cloud analytics and Lakehouse platforms (AWS, Databricks).
- Data engineering, ELT and orchestration services (e.g. S3, Lambda, Glue, Lakeflow, Airflow etc).
- Databricks Lakehouse and distributed processing (Spark, Delta Lake, Structured Streaming).
- SQL and NoSQL databases (e.g. Redshift, RDS, DynamoDB).
- DataOps and CI/CD tools (e.g. Docker, Kubernetes, CodePipeline).
- Strong SQL and scripting capability.
Personal Attributes
- Highly analytical with strong problem-solving and decision-making skills.
- Exceptional attention to detail and commitment to data quality.
- Collaborative mindset with effective internal consultancy skills.
- Growth-oriented, adaptable and motivated to work with evolving technologies.
- Ability to coach and uplift junior engineers.
- Demonstrates behaviours aligned with a high-performance, values-driven culture.
Apply: If you are interested in the above opportunity, please submit a covering letter and resume that best demonstrates your ability to meet the requirements of the role.
As part of the recruitment process you may be required to complete pre-employment screening which may include a medical, qualification check, police clearance and Australian working rights check.
Applications close Monday 9th February 2026
Our commitment to a diverse and inclusive workplace
Diversity and inclusion are more than words. They guide us on building a thriving workforce that reflects the diversity of our customers and our community.
We encourage applications from every background, including Aboriginal and Torres Strait Islander people, people with disability, women, youth, LGBTQIA+ folks and people from culturally and linguistically diverse backgrounds.
We are committed to ensuring an accessible and inclusive work environment to enable people with disability to participate fully in all aspects of employment.
Applicants with disability who require adjustments during the recruitment process including an alternative format of the application form, can contact a Recruitment Officer at [email protected]or 08 9420 2000.
To read our diversity and inclusion statement,please visit our website
