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Get AI-powered advice on this job and more exclusive features.Company DescriptionLendi Group is a market-leading digital platform business focused on transforming the home loan industry. It operates the countrys #1 retail mortgage broker the iconic Aussie Home Loans franchise and Australias #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 lifes biggest financial decisions.Building on this market-leading foundation, Lendi Group''s vision is to be the undisputed place for Australians to buy and own property through our new Aussie Homes propositions.Lendi Groups loan book is more than $100b, and it was named Australias Aggregator of the Year for 2024.Diversity, Equality, and Inclusion are fundamental to the success of Lendi Group. Were passionate about fostering an environment where our team members feel valued and supported and we celebrate everyones unique identity.About The RoleLendi 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 DescriptionData 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 our 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 weeks 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 dont meet all the skills listed? Thats ok; we are always on the lookout for different skills, experience, and qualities and so wed still like to hear from you.Seniority levelMid-Senior levelEmployment typeFull-timeJob functionReferrals increase your chances of interviewing at Lendi Group by 2x.Get notified about new Senior Data Engineer jobs in Sydney, New South Wales, Australia. #J-18808-Ljbffr