Data Engineering Team Lead
- Sydney, NSW
- Permanent
- Full-time
- 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.
- 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.
- Mentor and guide a team of data engineers and analytic engineers (local and offshore), fostering a culture of innovation, collaboration, and engineering excellence.
- 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.
- 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
- Ensure compliance with data governance policies and procedures.
- Monitor data quality and address any issues related to data completeness and accuracy.
- Provide input to solution design & technical support of pipelines.
- 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.
- 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.
- 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.