Data Engineer at Lendi Group

Sydney, New South Wales, Australia -

Full Time

Start Date

Immediate

Expiry Date

23 Feb, 26

Salary

0.0

Posted On

25 Nov, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Pipeline Development, SQL, Data Modelling, Python, Databricks, Snowflake, Airflow, Collaboration, Documentation, Data Governance, Performance Optimisation, Continuous Learning, Mentoring

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 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: https://www.lendi.com.au/inspire/category/life-at-lendi/ 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. Join our data engineering team as a Data Engineer, where you’ll play a key role in developing, maintaining, and optimising modern data pipelines. You’ll work hands-on with tools such as dbt, Airflow, Snowflake, and Databricks, building scalable data solutions that enable analytics and product insights across the business. In this role, you’ll contribute to the design of data models, drive improvements in data quality and performance, and collaborate with stakeholders to deliver reliable, well-documented solutions. It’s an exciting opportunity for a mid-level engineer who wants to deepen their expertise in cloud data platforms while making a meaningful impact in a growing data team. Job Description Data Engineering & Pipeline Development Design, build, and maintain scalable data pipelines using modern data stack tools (dbt, Airflow, Python). Take ownership of troubleshooting and resolving issues in data workflows, ensuring reliable and timely data delivery. Work with Databricks and Snowflake environments to support ingestion, transformation, and modelling of data. Contribute to development and optimisation of Unity Catalog, Delta Live Tables, and Spark within Databricks. Data Modelling & Solution Design Collaborate with senior engineers and analysts to design and implement data models that support analytics and product needs. Translate business requirements into technical solutions, including prototyping and proof-of-concepts. Apply best practices in data modelling (Kimball, Data Vault, etc.) to ensure scalable and performant solutions. Collaboration & Communication Partner with data analysts, engineers, and business stakeholders to clarify requirements and deliver solutions. Clearly communicate progress, challenges, and technical considerations to both technical and non-technical stakeholders. Documentation & Governance Maintain up-to-date documentation for pipelines, workflows, and solutions, ensuring knowledge is shared across the team. Support data governance initiatives by monitoring data quality, applying standards, and flagging anomalies. Performance & Optimisation Proactively identify opportunities to optimise pipelines and improve performance in Databricks and Snowflake. Support ongoing platform improvements and contribute to scaling best practices across environments. Continuous Learning & Contribution Stay across emerging trends and best practices in cloud data engineering. Mentor junior engineers where appropriate and contribute to team knowledge-sharing activities. Actively participate in improving team culture, ways of working, and engineering standards. Qualifications Essential: 2–4 years’ experience in data engineering or a related role. Strong SQL skills and experience with data modelling techniques (e.g., Kimball, Data Vault). Hands-on experience building and maintaining data pipelines using dbt, Airflow, or similar orchestration/ETL tools. Practical exposure to Databricks (Spark, Delta Live Tables, Unity Catalog) and Snowflake (warehousing, performance tuning, security). Proficiency in Python for data processing and automation. Understanding of data governance, data quality, and best practices for managing cloud data platforms. Strong problem-solving skills with the ability to troubleshoot and resolve data pipeline issues. Good communication skills to collaborate with engineers, analysts, and business stakeholders. Desirable: Experience working in cloud platforms (AWS, Azure, or GCP). Familiarity with CI/CD, infrastructure-as-code (Terraform, Git, etc.). Exposure to BI/visualisation tools (Tableau, Power BI, or similar). Previous experience in a mid-size to large data environment, supporting cross-functional teams. Interest in mentoring juniors and contributing to team knowledge-sharing. 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-GR2 #LI-hybrid

Responsibilities

Develop, maintain, and optimise modern data pipelines using tools like dbt, Airflow, and Snowflake. Collaborate with stakeholders to design data models and ensure reliable data delivery.