Data Engineering Analyst

1 week ago


Perth, Australia The Staffing Group Full time

**About the role**

Data Engineers in Water Corporation are part of DataOps team with the primary goal of helping business intelligence, data science, advanced analytics and data governance teams across the business be more effective and productive with their data and analytics initiatives. This is achieved through a high-quality ecosystem of data, systems, tools and standards that leverage the intersection of modern software engineering, DevOps, data science and data engineering practices.

Youll be part of a team that plays a vital role in enabling Water Corporation to support future generations. Help us work towards our sustainability goals by building a highly automated, reliable and hyper productive end to end Data platform, ensuring teams have the data and supporting analytics capabilities they need.

**What the role will offer**:
At Water Corporation we offer flexible working, providing you an opportunity to work a mix of both home and at our office in Leederville, creating a better balance for you.

Other benefits include but are not limited to social clubs, 17.5% extra pay when taking annual leave, wellness leave, flexible working arrangements, on-site gyms, salary packaging, professional development and learning programs.

**Key skills and experience required to do the role**

There are a few things that well look for in your CV;
- Your experience with manipulating and analysing data with Python and SQL, together with knowledge of data warehousing concepts will help you succeed in this role.
- Working experience in a cloud-native data platform and some DevOps experience will be preferred but not mandatory. Youll have a strong system thinking mindset, automating everything at scale and you love data and coding.
- Its an advantage to have a degree in Software Engineering, Computer Science, or Information Systems however, having the aforementioned core skills are more important to us.

**What the role will involve**

The role will involve building, validating, and supporting data product frameworks. This includes implementing approved design patterns for the value adding elements of the data product framework, such as data acquisition, extract load transform processes, data modelling, machine learning operations, data quality management and monitoring.

As part of the role, youll also perform a range of testing to validate business rules, data and metadata quality, security and performance. Contribution to the development and maintenance of data, business intelligence and machine learning engineering strategies and practices will be another part of your role.

We are putting significant investment into bringing in the latest cloud technologies for big data, IoT, data science and machine learning. You will have the opportunity to be part of the program of work that modernises our data platform.

This is a fantastic opportunity to develop, learn and work with some of the most talented data engineers and data scientists in WA on big and important challenges that matter to Western Australians.

The convergence of IT and OT will be a mission critical play for us as we bring together a rapidly growing portfolio of IoT data, business intelligence and machine learning capabilities. Why? Because we want to bring the latest thinking, technology and people together to create one of a few smart utilities globally.

**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 14th April 2024**

**We reserve the right to withdraw this ad prior to the closing date.**

**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.

To read our diversity and inclusion statement, please visit our website



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