Data Engineering Lead
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Job Summary
Your Lovisa Opportunity:
At Lovisa were not just building a global fashion brand were building a world-class data platform that empowers smarter decisions across every part of our business. As we continue our transformation journey were looking for an experienced Data Engineering Lead to take ownership of within our Microsoft Fabric ecosystem and play a pivotal role in modernising how data is delivered trusted and consumed across the company.
This is an exciting opportunity for a technically strong data professional who enjoys combining hands-on engineering with stakeholder engagement helping turn complex data into meaningful business insights at a global scale.
About the role:
As the Data Engineering Lead youll own the design development and governance of the Gold Layer within our Microsoft Fabric Medallion Architecture. Youll lead the migration of legacy SSIS pipelines into Fabric establish engineering best practices and create scalable semantic models that become the foundation for enterprise reporting and analytics.
Youll partner closely with business leaders analysts and technology teams to ensure data is accurate accessible and aligned to business objectives.
Key Responsibilies:
Lead the design build and ongoing optimisation of the Gold layer within Microsoft Fabric
Develop high-performance PySpark transformations and data pipelines using Delta tables
Design and maintain enterprise semantic models in Power BI
Define standardise and document business KPIs and reporting logic with senior stakeholders
Drive the migration from legacy SSIS platforms to a modern Fabric-based architecture
Establish engineering standards including source control code reviews CI/CD and deployment processes
Ensure data quality consistency governance and performance across reporting environments
Optimise data workflows and Fabric capacity utilisation
Collaborate across IT Data and business teams to deliver trusted scalable data solutions
Contribute to the ongoing evolution of Lovisas data and analytics capability
About you:
Youre a passionate data engineer who thrives on solving complex problems and translating business requirements into elegant technical solutions. You have experience leading data initiatives influencing stakeholders and building modern analytics platforms that enable business growth.
What youll bring:
Degree in Data Engineering Information Systems Computer Science or a related discipline
6 years experience in Data Engineering including experience in a senior or lead capacity
Proven success delivering data transformation and migration projects
Strong experience with Microsoft data platforms including SSIS Azure Data Factory Synapse and Microsoft Fabric
Hands-on expertise with Fabric Lakehouse Warehouse Delta Tables Notebooks and Data Factory Pipelines
Advanced SQL and PySpark development skills
Strong experience building and maintaining Power BI semantic models or SSAS tabular models
Strong DAX capabilities
Experience with Git code reviews CI/CD and modern engineering practices
Join a global business offering endless career opportunities.
Supportive diverse and inclusive team environment.
Strong culture we truly harness our 101 Culture Commitments.
Paid Birthday Leave.
Generous 50% discount on Lovisa products.
Free gym membership.
Attractive Referral Rewards Incentive Program.
Modern HQ with a fully stocked kitchen on Glenferrie Road close to everything you need on your doorstep.
Personal Development & Succession Plans.
Lovisa is a global fashion-forward jewellery brand that has been setting trends since launching in Australia in 2010. Today were proud to have over 1100 stores across 50 markets with ambitious plans for continued global growth.
As an ASX-listed retailer were driven by innovation collaboration and our people. Join a fast-paced global business where youll have the opportunity to build your career take on new challenges and grow with us as we continue to expand worldwide.
We believe in supporting diverse cultures and harnessing the unique knowledge and experience of our team. We celebrate our global presence by supporting our culturally diverse team around the world.
