Data Engineering Lead

Lovisa; Victoria; On-site; AUD 180,000 - 240,000; Full time

Benefits offered by this job

Birthday leave

Lovisa discount

Gym membership

Referral program

Modern HQ

Job summary

Lovisa is seeking an experienced Data Engineering Lead to own the Gold Layer within Microsoft Fabric, migrating from SSIS and establishing standards for scalable data delivery. You will drive PySpark pipelines, semantic models in Power BI, and governance with senior stakeholders to empower enterprise analytics.

You will partner with IT, data, and business teams to ensure data quality, accessibility, and alignment to Lovisa's objectives, supporting global reporting needs.

Qualifications

• Degree in data-related field.
• 7+ years of data engineering experience.
• Proven data transformation and migration track record.
• Strong experience with Microsoft data platforms (SSIS, ADF, Synapse, Fabric).
• Hands-on with Fabric Lakehouse, Delta Tables, Notebooks, and Data Factory Pipelines.
• Advanced SQL and PySpark development skills.
• Experience building Power BI semantic models or SSAS tabular models.
• Strong DAX capabilities and modern engineering practices (Git, CI/CD).

Responsibilities

• Lead design, build, and optimisation of the Gold layer in Fabric.
• Develop PySpark data pipelines with Delta tables.
• Design/maintain enterprise semantic models in Power BI.
• Define KPIs and reporting logic with senior stakeholders.
• Migrate legacy SSIS to Fabric-based architecture.
• Establish engineering standards (source control, code reviews, CI/CD).
• Ensure data quality, governance, and performance across reports.
• Optimise data workflows and Fabric capacity usage.
• Collaborate with IT, Data, and business teams.
• Contribute to Lovisa's evolving data/analytics capability.

Skills

Advanced SQL

PySpark

Leadership

Stakeholder engagement

Data governance

Data transformation

Education

Degree in Data Engineering

Tools

SSIS

Azure Data Factory

Synapse

Microsoft Fabric

Fabric Lakehouse

Delta Tables

Power BI

Git & CI/CD

Job description

Your Lovisa Opportunity:

At Lovisa, we're not just building a global fashion brand, we're building a world-class data platform that empowers smarter decisions across every part of our business. As we continue our transformation journey, we're 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, you'll own the design, development, and governance of the Gold Layer within our Microsoft Fabric Medallion Architecture. You'll 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.

You'll 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 Lovisa's data and analytics capability

About you:

You're 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 you'll 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

Benefits

• Join a global business offering endless career opportunities.

• Supportive, diverse and inclusive team environment.

• Strong culture – we truly harness our 10+1 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.

Why Lovisa

Lovisa is a global, fashion-forward jewellery brand that has been setting trends since launching in Australia in 2010. Today, we're proud to have over 1,100 stores across 50+ markets, with ambitious plans for continued global growth.

As an ASX-listed retailer, we're driven by innovation, collaboration and our people. Join a fast-paced global business where you'll 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.