Senior Data Engineer at Lendi Group

Sydney, New South Wales, Australia -

Full Time

Start Date

Immediate

Expiry Date

14 Oct, 26

Salary

0.0

Posted On

16 Jul, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, SQL, Python, Snowflake, Databricks, ETL, dbt, Airflow, Spark, AWS, Terraform, Docker, Data Modelling, Data Governance, CI/CD, AI/ML

Industry

Financial Services

Description

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 our proprietary AI platform, a national network of 1,300 brokers and 210 retail stores, and an integrated ecosystem of property services, Lendi Group supports customers at every step of their property journey to find, buy and own with confidence. Managing a $107B+ loan book, the Group continues to set the pace in the industry and was recently recognised as Aggregator of the Year. 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. Job Description 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. Key responsibilities Data Engineering Design, develop, maintain and support scalable data pipelines using modern data engineering practices and Agile delivery. Apply data analysis, data modelling, solution design and architecture principles to deliver new solutions and enhance existing pipelines and models. Develop, test and deploy cloud-based data warehouse solutions using technologies such as Snowflake, Databricks, S3 and PostgreSQL, with ETL tools including dbt, Airflow, Spark and Python. Utilise cloud infrastructure and CI/CD tooling (e.g. AWS, Terraform, Docker), with exposure to streaming data and AI/ML technologies (e.g. MLflow, SageMaker, Bedrock, LangChain) considered advantageous. Performance Optimisation Optimise data pipelines and BI solutions for performance, scalability and reliability while implementing best practices across design, testing, documentation and maintenance. Data Governance Ensure compliance with data governance standards and maintain high levels of data quality, accuracy and completeness. Documentation & Support Maintain comprehensive technical documentation, contribute to design guides and training materials, and provide ongoing support for issue and incident resolution. Collaboration Work closely with cross-functional Agile teams, data analysts, data scientists and business stakeholders to deliver high-quality data solutions aligned to business needs. Mentor other engineers, contribute to engineering standards, and provide input into solution design and technical direction. Qualifications Minimum of 3 years of data engineering experience with modern development practices Proficiency in SQL with a cloud data warehouse (Snowflake, Databricks) and experience with ETL tools and processes. Familiarity with programming languages such as SQL and 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. Demonstrated experience or interest in AI, emerging technologies and greenfield work. Additional Information Lendi Group teams operate across Australia and the Philippines. Bringing together diverse expertise, innovative technology and a customer-first approach, our teams work seamlessly to simplify the property journey, helping Australians find, buy and own property with confidence. We support our people in a variety of ways, but a few of the benefits that our people rave about include: A vibrant, relaxed, yet professional culture. Hybrid working arrangement designed to support work-life balance, while fostering meaningful connection and collaboration. A holistic wellbeing programs offering 24/7 support, including medical, mental health, and financial wellbeing services to enable our workforce to thrive at home and work. 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. Wellness initiatives with a strong focus on psychological safety. We’re committed to fostering a diverse and inclusive community at Lendi Group. We believe that a team reflecting the world around us leads to greater innovation, stronger collaboration, and a more engaging workplace. 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. This is an opportunity to shape the future of a fast-growing, purpose-driven company that’s transforming the homeownership journey. Ready to contribute to Lendi Group’s next chapter? Apply now and be part of something big! #lendigroup #LI-AMH1 #LI-hybrid Department: Data Design & Emerging Product

Responsibilities

Design, develop, and maintain scalable data pipelines and cloud-based data warehouse solutions to drive agentic AI automation. Collaborate with cross-functional teams to optimize BI solutions and ensure high standards of data governance and quality.