Senior Data Engineer

Company Description

Lendi Group is a market-leading digital platform business focused on transforming the home loan industry. It operates the country’s #1 retail mortgage broker – the iconic Aussie Home Loans franchise – and the Australia’s #1 digital mortgage brand, Lendi.

Together, with its national network of 1,300 brokers and 230 retail stores, the Lendi Group brands give all Australians the power of choice, and confidence, in one of life’s biggest financial decisions.

Building on this market-leading foundation, Lendi Groups vision is to be the undisputed place for Australians to buy and own property through our new Aussie Homes propositions.

Lendi Group’s loan book is more than $100b and it was named Australia’s Aggregator of the Year for 2024

Diversity, Equality, and Inclusion are fundamental to the success of Lendi Group. We’re passionate about fostering an environment where our team members feel valued and supported and we celebrate everyone’s unique identity.

To learn more about life at Lendi Group check out our blog: https://www.lendi.com.au/inspire/category/life-at-lendi/

About the role

Lendi Group is seeking an experienced Senior Data Engineer that will be part of a multi-disciplinary engineering team that will be designing, developing, and deploying AI systems that drive agentic AI Automation within the property buying and owning, mortgage broking and financial services sector. You will work at the intersection of AI, data, software engineering, and financial services, building cutting-edge solutions that enhance operational efficiency and customer experiences. 

You will be reporting to a newly formed team within Lendi Group that is focused on AI driven initiatives, working side-by-side with a high performing, knowledgeable and fun team.

This is a unique opportunity to make an impact on our long-term vision to expand our AI capability across the enterprise. We are open to this being a full-time permanent position or a fixed-term contract arrangement.

Due to the nature of the project, you will be required to work from our Sydney-based Head Office alongside the broader project team for four to five days per week.

Job Description

Data Engineering:

• Data pipeline development, maintenance and engineering support with modern data stack in a rapid, agile development practices 
• Have Data Analysis, Data Modelling, Solution Design experience to design solutions to address new requirements or enhancements to existing pipelines and models.
• Have a clear understanding and can demonstrate experience on data modelling techniques, data integration patterns and data architectures. 

Tools/Tech Stack:

• Data pipeline and ETL tools (DBT, Airflow, Python). 
• Cloud data warehouse – development, testing and production deployments. Experience in Snowflake, DataBricks, S3, Postgres.
• Cloud services & CI/CD tool chains (e.g. Terraform, Docker, AWS services, S3) 
• AI / ML tools – AWS Sagemaker, AWS Bedrock 
• BI Tools (MS Fabric, Power BI) 

Performance Optimization: 

• Cloud data warehouse – development, testing and production deployments.
• Optimize data pipelines, build pipelines & BI solutions for performance and scalability. 
• Implement data engineering best practices, design, testing, documentation and maintenance 

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 5 years of data engineering experience with modern development practices 
• Proficiency in SQL with a cloud data warehouse (Snowflake, Redshift, Databricks) and experience with ETL tools and processes. 
• Familiarity 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. 

Additional Information

We support our people in a variety of ways, but a few of the benefits that that out people rave about include: 

• A vibrant, relaxed, yet professional culture 
• Wellness initiatives with a strong focus on psychological safety 
• We offer generous Paid Parental Leave: we celebrate our growing Lendi Group family with 18-26 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 
• A 24/7 Employee Assistance Program service providing counselling and support 

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.

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.

#Lendigroup #LI-GR2 #LI-Hybrid