Engineering Manager, Data Analytics

Plenti is a fintech lender, providing faster, fairer loans by leveraging its smart technology. Plenti is a dynamic and innovative business that is growing strongly. By continuing to deliver better customer experiences, Plenti is taking market share from incumbent players in the personal lending, renewable energy, and automotive finance markets. We are a fast moving and ambitious business that seeks to recruit smart and capable people, who can take ownership of their role to help the business thrive. With over 250 people based in Australia, Plenti is of a size where everyone can make a difference in their role and help us realise our very big ambitions as a team, as we go about building Australia's best lender. Plenti is a founder led business that launched in 2014, listed on the ASX since 2020 with annual revenue of over $250 million and a loan portfolio of over $2.5 billion.

As the Engineering Manager - Data Analytics, you will serve as both a technical leader and a collaborative team leader at the heart of our data engineering and analytics function. You'll oversee the design, development, and optimisation of our Databricks-based data pipelines and models, ensuring seamless support for analytics, reporting, and AI use cases across our business. This is a hands-on leadership role, responsible for mentorship, team coordination, and championing best practices.

• Architecting and building data solutions on Databricks to power our core reporting, analytics, MLOps, and generative AI initiatives
• Designing, building, and operating scalable and reliable data integration pipelines with a cloud-native approach
• Overseeing and coordinating the data engineering and analytics team's efforts to ensure the timely and efficient delivery of high-impact analytics solutions
• Serving as a key collaborator with analysts, data scientists, and business stakeholders to translate requirements and maximize business value from data
• Contributing to strategic planning and the team's roadmap, aligning initiatives with organizational priorities
• Mentoring team members and fostering a supportive, collaborative environment
• Establishing, maintaining, and promoting data standards, governance, and best practices
• Proactively identifying opportunities to improve data architecture, tooling, and automation across the data platform

• Extensive hands-on experience as a Data Engineer building and scaling solutions on a major cloud platform, with deep expertise in Databricks
• Proven mastery of the full analytics development lifecycle, applying modern software engineering principles (Git, CI/CD, automated testing) to build production-grade solutions with tools like dbt, Airbyte, and Dagster
• Demonstrated experience leading and mentoring technical teams; people love to work with you, and you're known for elevating those around you
• Excellent communication skills, with the ability to engage both technical and business stakeholders at every level
• A passion for data and a drive to set and uphold high standards of data delivery

Apply now to play a central role in shaping our data foundation and delivering the analytics and AI solutions that drive our business forward.

Working at Plenti means joining a team that is high-performing, diverse, customer-focused and collaborative. It's a place where everyone can "make it happen" and share in the results and success. If being in a dynamic industry as part of a market-leading fintech sounds like you, then join to help us reshape Australia's financial eco-system for the good.

In return, you will enjoy a culture of innovation and entrepreneurship to take your career further. We offer flexible working and volunteer and study leave to develop your skills. We also have monthly social events, office snacks, company Townhalls and D&I initiatives and events to help you connect with your colleagues.

Plenti is committed to a diverse and inclusive workforce.

We encourage people from different backgrounds to apply, including Aboriginal and Torres Strait Islander people and people with disabilities. When you apply, let us know of any reasonable adjustments you may need during the interview process so we can accommodate you.