Technical Lead – Analytics Engineering and Data Quality

Company Description

Lendi Group is the new group born out of the merger of Aussie Home Loans and Lendi. As a Group we operate a multi-brand strategy across Aussie Home Loans and Lendi, pulling together a truly personalised home loans experience for the Australian audience that balances both human support and smart technology.  

We’re revolutionising the industry with best-in-class technology and a suite of tools that takes the hard work out of home loans – for our Customers and Brokers alike.

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/

What’s the role?

As the Analytics Engineering and Data Quality Lead, you will be a key player in enhancing and uplifting our data platform and end-to-end data product delivery. Your expertise in Data Lake and/or Lakehouse environments, data migration, and data governance will be vital. You will be responsible for implementing core data governance practices, including data lineage, data observability, data quality, and anomaly detection. This role requires significant collaboration across cross-functional teams and accountability for critical data components. The successful candidate will have be a proactive self-starter with a passion for data-driven transformation. The role requires a curious mind with a background in the data engineering and analytics disciplines, problem solving skills, project and change management.

Job Description

Data Governance and Quality:

• Implement and oversee core data governance practices, including data lineage, data observability, data quality, and anomaly detection.
• Work with the General Manager of Data to embed appropriate privacy-preserving techniques and ensure compliance with internal policy, regulatory, and legislative obligations.
• Develop and maintain a Data Quality roadmap to improve data integrity and ensure the delivery of quality data products to customers.

Data Platform Enhancement:

• Support initiatives for data migration, platform enhancement, and uplift.
• Support administration and maintainence of the data stack, including Snowflake, DBT, and Fivetran.

ETL Pipeline Management:

• Set up and maintain ETL pipelines using AWS tooling (S3, EC2, Parameter Store, boto3) and technologies like Snowflake, dbt-cli, Airflow, Python, and Fivetran.
• Develop automated, scalable, and reliable data solutions as a key member of the Data Pipelines team.

Data Modelling:

• Build and manage a Kimball model data warehouse.
• Develop and optimize PowerBI semantic models.

Operational Delivery:

• Support the operational delivery of data products, including PowerBI reports, ad-hoc analysis, and productionisation of AI/ML models
• Implementation of best-practice data engineering and devops standards
• Implementation of proactive data quality metrics, data anomoly and issue detection and business support, including issue and incident resolution.

Operational Efficiency:

• Identify opportunities to enhance and optimise data engineering processes to ensure scalability and automation.

Solution Architecture:

• Support end-to-end solution design and decision making processes, through documentation and implementation of best practice processes and methodologies 

Collaboration and Communication:

• Collaborate as part of a cross-functional agile team.
• Communicate effectively with both technical and non-technical audiences, both verbally and in written form.
• Take ownership of the systems you build, including supporting, debugging, and monitoring in production.

Continuous Improvement:

• Help the team continuously improve its ways of working and processes.
• Stay up-to-date with the latest industry trends and best practices in data engineering and governance.

Qualifications and Experience:

• Bachelor’s degree in computer science (or other relevant degree)
• 10+ years across data analytics/ data engineering in relevant industries e.g. financial services
• Proven experience in Data Lake and/or Lakehouse environments.
• Experience with integration of external, third party data assets and creation of B2C data products.
• Enjoy operating in an agile software development environment, working closely with development teams and business stakeholders
• Strong experience in data migration and data platform enhancement.
• Experience with development and productionisation of reports in PowerBI
• Solid understanding and implementation  of data governance practices, including data lineage, data observability, data quality, and anomaly detection.
• Proficient in setting up and maintaining ETL pipelines with technologies like Snowflake, dbt-cli, Airflow, Python, Fivetran, and AWS tools (S3, EC2, Parameter Store, boto3).
• Strong data modelling skills and experience with Kimball model data warehouses.
• Excellent communication skills, with the ability to convey complex technical concepts to both technical and non-technical stakeholders.
• Experience working in an agile environment and a strong team player.
• Results driven with a desire to search for, and execute, on new opportunities to drive business value.

Qualifications

• 10+ years across data analytics/ data engineering in relevant industries e.g. financial services
• Proven experience in Data Lake or Lakehouse environments.
• Experience with integration of external, third party data assets and creation of B2C data products.
• Strong experience in data migration and data platform enhancement, development and productionisation of reports in PowerBI
• Solid understanding and implementation of data governance practices.
• Proficient in setting up and maintaining ETL pipelines with technologies like Snowflake, dbt-cli, Airflow, Python, Fivetran, and AWS tools (S3, EC2, Parameter Store, boto3).
• Strong data modelling skills and experience with Kimball model data warehouses.

Additional Information

What's in store for you at Lendi?

• A dynamic and innovative work environment.
• Opportunities for professional growth and development.
• The chance to make a significant impact on the future of AI at Lendi Group.

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

• We're Flex First – We've embraced a hybrid, flexible working model that adapts to team members needs and lifestyles
• 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’re committed to building a diverse and inclusive community for everyone at Lendi Group. Creating a culture that is representative of the world we live in makes us better people and our organisation gains tangible benefits, ultimately this creates a melting pot of creativity.