Lendi Group | Lead Data Engineer | Sydney
vor 3 Wochen
Department: Data Design & Emerging Product Company Description In May 2021, Lendi and Aussie Home Loans merged to create Lendi Group.
Today, Lendi Group is Australia's largest retail mortgage broker, with a loan book in excess of $70 billion, over 1300 brokers and 225 retail stores across the country.
We're passionate about what we do and like to do things differently.
We've enjoyed record growth while adapting to the changing world around us.
We have bold ambitions to change the way Australians experience property buying, for good.
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.
Lendi Group is at the forefront of innovation in the mortgage and finance industry.
We are committed to leveraging data to drive business decisions, optimise operations, and deliver exceptional value to our customers and brokers.
As we continue to grow, we are expanding our data engineering and insights capabilities.
We are seeking a highly skilled and motivated Lead Data Engineer to join our team in Sydney to be accountable for the strategic elements of the Lendi Data Platform.
This role is pivotal in ensuring the seamless integration and operation of our data platform and the organisation's data assets are well-governed, high-quality and effectively utilised to support our business objectives.
The ideal candidate will be a strong leader of technical teams, with a strong understanding of data architecture, data modelling, analytics engineering, data engineering and experienced with the management of cloud native modern data platforms.
You will be responsible for managing a modern data stack and modern data engineering development practices.
Job Description 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.
Team leadership
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, Snowflake SQL and administration (mandatory), dbt (mandatory), Airflow (mandatory), Kafka (desirable), Segment (desirable), Terraform (desirable), AWS fundamentals (mandatory), Buildkite (or equivalent CI/CD platform) fundamentals (mandatory).
Lead the development and management of Power BI 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.
Platform ownership and optimization:
Management of data platform budget, ensuring optimisation of costs and vendor management.
Optimize data pipelines, build pipelines & BI solutions for performance and scalability.
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.
Data Governance:
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.
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 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.
Additional Information 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.
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.
Lendi Group is a 2024 Circle Back Initiative Employer; we value a positive candidate experience and commit to respond to every applicant.
Once we have received your application, we will reach out to you via email.
Feeling like you don't meet all the skills listed?
That's ok; we are always on the lookout for different skills, experience, and qualities and so we'd still like to hear from you.
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