Data Engineering Lead

Details of the offer

About this role Who we are:
Urbis is people focused, and we want the best for our team, our clients, and our communities.
We are a community of passionate problem solvers, sought out by clients for our fresh thinking and approach to their city-shaping projects.
Our mission is to help create meaningful, sustainable cities & communities.
Urbis is an employer of choice for gender equality (EOCGE), recognised through the Workplace Gender Equality Agency (WGEA), and active participants in the Federal Career Revive Initiative which supports the attraction and retention of women returning to work after a career break.
We pride ourselves in empowering our employees and supporting them to be the best they can be.
Here you will make a tangible difference and positive impact, while gaining incredible industry experience and broad ranging exposure to the most exciting work.
Urbis, Shaping futures your way!
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 lead the design and implementation of scalable data architectures, pipelines, and data transformation processes.
Reporting to the Head of Data & Applications, you will be responsible for operational excellence and cost efficiencies of the Data Lakehouse platform.
You will lead the data engineering practice by developing and enforcing standards, policies, and best practices.
Key Responsibilities: Lead the technical implementation of future data projects across the project lifecycle (Plan, Design, Build & Maintain)Provide technical governance for the Data Lakehouse and ensure adequate documentation is maintainedLead the development of required data pipelines, data transformations and maintain the Enterprise Data Model, connecting organisation wide data to support One Urbis strategyOrganise data into usable formats and a companywide taxonomy to enable the effective categorisation and sharing of data across UrbisDevelop and lead the data operations practice ensuring agreed SLAs are metSupport the Head of Data & Applications in identifying ongoing revenue/commercialisation opportunities for the companyUnderstand business problems and desired outcomes to design data solutions that are efficient & scalable; able to present these solutions to business stakeholdersKeep up to date with the latest innovations in the sector including digital twins, artificial intelligence, and other digital technologies that can be applied at Urbis and CistriProvide strong personal, people and team leadership, demonstrated by the ability to coach, develop and support the development of team members, including providing timely and constructive feedback to support high performanceAbout you: Tertiary qualifications in Engineering/Computer Science or a related fieldHands on experience creating data pipelines using Python notebooksExperience in Azure CI/CD pipelines and managing infrastructure as codeAt least 5 years' experience in data engineering role, with at least 2 years in a leadership positionProficiency in Microsoft Azure Cloud computing platform (specifically Synapse); Expert Azure certifications (Azure Solutions Architect and/or Azure DevOps Engineer) desirableProficiency with SQL, Python and other data manipulation languagesStrong understanding of data warehousing concepts, ETL processes, and data architecture best practicesExperience with Power BI administration and integration to Data LakehouseDemonstrable experience and proficiency with strong technical skills in the following:Data engineeringData classification and managementData pipeline managementData operations & SLA ManagementStrong Understanding of data governance and taxonomyA passion for the application of data to urban design and planning, with an understanding of the complexities of urban systemsExperience with process improvement methodologies in data managementA background in technical consulting is desirable #J-18808-Ljbffr


Nominal Salary: To be agreed

Source: Talent_Dynamic-Ppc

Requirements

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