Data Engineering Lead

Company Description
Lendi Group is a market-leading digital platform business that is focused on revolutionising the entire property journey. It operates Lendi - Australia's original and #1 digital mortgage brand - and the iconic Aussie franchise.

Powered by an advanced AI proprietary platform, a national network of 1,300 brokers, 230 retail stores, a team of experienced buyer's agents, integrated property search and conveyancing, Aussie is supporting customers at every step of their property journey to find, buy and own with more confidence than ever before. Lendi Group's loan book is more than $100b and it was named Australia's Aggregator of the Year for 2024.

To learn more about life at Lendi Group check out our blog:

Why Join Us?

• Innovation at Our Core – We challenge the status quo and push boundaries to create better solutions.
• Work with the Best – Collaborate with some of the brightest minds in fintech, financial services, and strategy.
• Make an Impact – Contribute to meaningful projects that shape our business and the future of property finance.
• Grow & Evolve – Develop your skills and advance your career in a fast-moving, purpose-driven environment.

About The Role
Lendi Group is at the forefront of innovation in the mortgage and finance industry. We are committed to leveraging data to drive business decisions, optimise operations, and deliver exceptional value to our customers and brokers. As we continue to grow, we are expanding our data engineering and insights capabilities.

We are seeking a highly skilled and motivated Data Engineering Lead to join our team in Sydney to be accountability for the strategic elements of the Lendi Data Platform.

The ideal candidate will be a strong leader of technical teams, with a strong understanding of data architecture, data modelling, analytics engineering, data engineering and experienced with the management of cloud native modern data platforms. You will be responsible for managing a modern data stack and modern data engineering development practices.

Job Description
Collaboration:

• Work closely with a cross-functional agile team to deliver high-quality data solutions.
• Work closely with data analysts, data scientists, and other stakeholders to understand business requirements and translate them into technical solutions.

Team leadership

• Mentor and guide a team of data engineers and analytic engineers (local and offshore), fostering a culture of innovation, collaboration, and engineering excellence.

Data Engineering

• Data pipeline development, maintenance and engineering support with modern data stack in a rapid, agile development practices
• Cloud data warehouse – development, testing and production deployments; Python, Databricks, Snowflake SQL and administration (mandatory), dbt (mandatory), Airflow (mandatory), Kafka (desirable), Segment (desirable), Terraform (desirable) AWS fundamentals (mandatory), Buildkite (or equivalent CI/CD platform)
• Lead the development and management of PowerBl semantic models, ensuring strong governance, repeatability, and scalability.
• Provide standards, guidelines and collaborate in design of logical data modelling and the implementation of physical data models into the platform to ensure consistency, interoperability, maintainability and efficiency.

Platform Ownership And Optimization

• Management of data platform budget, ensuring optimisation of costs and vendor management
• Optimize data pipelines, build pipelines & BI solutions for performance and scalability.
• Implement data engineering best practices, design, testing, documentation and maintenance
• Management of the data platform access processes, security access controls, role & attribute access controls and data security controls in collaboration with Cyber and Platform infrastructure teams to ensure that the platform is secure by design.
• Management and provisioning of AI and BI services on the data platform

Data Governance

• Ensure compliance with data governance policies and procedures.
• Monitor data quality and address any issues related to data completeness and accuracy.

Collaboration

• Provide input to solution design & technical support of pipelines.

Documentation

• Maintain comprehensive documentation of data engineering solutions, data models, and processes.
• Contribute to design guides and training materials as needed.
• Issue and Incident Resolution: Provide support for issue and incident resolution.

Qualifications

• Minimum of 8 years of data engineering experience with modern development practices
• Proficiency in SQL with a cloud data warehouse (Snowflake, AWS RDS, Databricks) and experience with ETL tools and processes.
• Experience with programming languages such as Python
• Strong understanding of data warehousing concepts and data modelling techniques.
• Knowledge of data governance and data quality best practices.
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills.
• Ability to work independently and manage multiple priorities in a fast-paced environment.

Additional Information

• Enjoy the flexibility of remote working arrangements. We offer a highly flexible hybrid structure to suit your individual needs
• We offer extended Paid Parental Leave: we celebrate our growing Lendi Group family with up to 26 weeks leave for primary carers and up to 4 weeks for secondary carers.
• An additional week's Loyalty Leave each year after reaching 3 years' service.

We are a people-first company that invests in initiatives to promote a healthy work environment, such as offering an Employee Assistance Program and social groups such as our industry-leading Women in Technology group.

Our culture is guided by our 3 core values: We Are Stronger United; Act Like You Own It; and Keep Home Loans Human. Our values are part of our core DNA that helps Lendi Group to attract, engage and evolve the right talent and build best-in-class products.

Lendi Group is a 2024 Circle Back Initiative Employer; we value a positive candidate experience and commit to respond to every applicant. Once we have received your application, we will reach out to you via email.

Feeling like you don't meet all the skills listed? That's ok; we are always on the lookout for different skills, experience, and qualities and so we'd still like to hear from you.