About The Role
The Senior Data and Analytics Engineer leads the design and delivery of scalable, end-to-end data and analytics solutions that drive strategic business outcomes, enhance customer value, and enable operational excellence. Acting as a senior technical authority within Solution Delivery, the role shapes data architecture, engineering standards, and best practices while ensuring solutions are secure, governed, and future ready. Through strong stakeholder collaboration and technical leadership, the role also uplifts organisational capability and champions the effective use of data as a critical enterprise asset.
About The Role
The Senior Data and Analytics Engineer leads the design and delivery of scalable, end-to-end data and analytics solutions that drive strategic business outcomes, enhance customer value, and enable operational excellence. Acting as a senior technical authority within Solution Delivery, the role shapes data architecture, engineering standards, and best practices while ensuring solutions are secure, governed, and future ready. Through strong stakeholder collaboration and technical leadership, the role also uplifts organisational capability and champions the effective use of data as a critical enterprise asset.
Tasks And Responsibilities
- Lead the translation of business requirements into scalable data and analytics solutions that deliver measurable outcomes.
- Design and oversee the development of data models, pipelines, and visualisations across a range of modern technologies.
- Establish and uphold best practice in data engineering, including architecture, performance, security, and governance.
- Collaborate with business and technical stakeholders to drive alignment, adoption, and value from data initiatives.
- Provide technical leadership and guidance on data architecture, design patterns, and engineering standards across delivery teams.
- Support the deployment, adoption, and ongoing optimisation of data and analytics solutions to ensure they remain fit for purpose.
- Mentor and coach team members, fostering capability uplift, continuous improvement, and a strong data engineering culture.
SKILLS AND EXPERIENCE
- Bachelor’s degree in computer science, engineering, mathematics, statistics, or a related field.
- Relevant and up to date industry certifications in data and analytics tools and technologies with a focus on Microsoft and Databricks.
- Extensive experience in data engineering and analytics, delivering end-to-end solutions in complex environments.
- Strong proficiency in SQL (T-SQL), Databricks, PySpark, and the Microsoft data stack including SQL Server, SSRS, and PowerBI.
- Proven experience designing and implementing modern data architectures, including Lambda and Kappa patterns.
- Hands‑on expertise in building and optimising batch and real‑time data pipelines, including streaming solutions using technologies such as Apache Kafka, Azure Event Hubs, Confluent, and Apache Flink.
- Extensive experience with Azure data and analytics services, including Azure Data Factory, Azure Databricks, Delta Lake, and Azure Synapse Analytics.
- Strong capability in data modelling (dimensional and semantic) and delivering scalable, high‑performing data models and visualisation solutions.
- Experience working with large, complex datasets, applying strong analytical thinking and problem‑solving skills to deliver business insights.
- Excellent stakeholder engagement, communication, and presentation skills, with the ability to translate technical concepts for non‑technical audiences.
- Experience working in Agile delivery environments, contributing to cross‑functional teams and iterative solution development.
- Previous experience in fleet management or financial services is ideal.
- Experience with DevOps processes and practices (CI/CD, Infrastructure as code).
- Data science skills and experience, AI/ML, Statistical analysis is favourable.
- Previous experience using Atlassian tools (Jira, Confluence, Bitbucket).
- Experience with Data Replication technologies.
ABOUT YOU
- Strategic thinker with the ability to connect data solutions to broader business outcomes.
- Strong problem‑solver with a proactive, solution‑focused mindset.
- Collaborative and influential, able to build trusted relationships across technical and non‑technical stakeholders.
- Demonstrates ownership and accountability, with a commitment to delivering high‑quality outcomes.
- Adaptable and resilient, comfortable working in fast‑paced and evolving environments.
- Passion for continuous learning, innovation, and improvement in data and analytics practices.
- Effective communicator, able to simplify complex technical concepts for diverse audiences.
Who we are...
We are a financial services company that specializes in fleet management, vehicle leasing and salary packaging, with a presence across Australia, the UK and NZ. A total portfolio under management of $2.5 Billion and over 1100 employees.
au/about-us/careers
Some of our perks include...
- Recharge and relax with up to 4 days of wellness days every year
- We offer industry leading 20 weeks paid parental leave
- Monetary service milestone awards
- Career progression opportunities
- Education support towards learning and development, includes a learning budget per year, free access to LinkedIn Learning and more
- Two paid volunteer days each year
- Health and wellbeing support including a subsidy and an Employee assistance Program
What's next...
We'd love to hear from you if you're ready to take on your next challenge at a company that embodies diversity, work-life balance, and career development.
We are a proud equal opportunity employer. Interviews may take place prior to closure date for applications. To give yourself the best chance of selection, please do not leave your application to the application 'close' date. As a pre‑requisite to employment, the successful applicant will be required to complete a pre‑employment screening.
Aboriginal and Torres Strait Islander candidates are encouraged to apply.