Data Engineering Leader for Scalable Data Solutions
18 hours ago
About Urbis:
Urbis is a people-focused company that prioritizes the well-being of its team, clients, and communities. We are passionate problem solvers who strive to create meaningful, sustainable cities and communities.
We are recognized as an employer of choice for gender equality and actively participate in initiatives that support women returning to work after a career break.
Our mission is to empower employees and provide them with the opportunity to make a positive impact while gaining industry experience and exposure to exciting work.
The Opportunity:
Our Melbourne office has an exciting opportunity for a Data Engineering Lead to join the team.
As the Data Engineering Lead, you will be responsible for designing and implementing scalable data architectures, pipelines, and data transformation processes.
You will lead the technical implementation of future data projects across the project lifecycle (Plan, Design, Build & Maintain) and provide technical governance for the Data Lakehouse platform.
Key Responsibilities:
- Lead the technical implementation of future data projects
- Provide technical governance for the Data Lakehouse
- Develop required data pipelines, data transformations, and maintain the Enterprise Data Model
- Organise data into usable formats and a companywide taxonomy
- Develop and lead the data operations practice
- Support the Head of Data & Applications in identifying revenue opportunities
- Design data solutions that are efficient and scalable
- Keep up to date with the latest innovations in the sector
- Provide strong personal, people, and team leadership
About You:
- Tertiary qualifications in Engineering/Computer Science or a related field
- Hands-on experience creating data pipelines using Python notebooks
- Experience in Azure CI/CD pipelines and managing infrastructure as code
- At least 5 years' experience in data engineering role, with at least 2 years in a leadership position
- Proficiency in Microsoft Azure Cloud computing platform (specifically Synapse)
- Strong understanding of data warehousing concepts, ETL processes, and data architecture best practices
Estimated Salary: AU$140,000 - AU$170,000 per annum, depending on experience.
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