Data and Analytics Engineer

Who We Are
We are a financial services company that specialises 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 1200 employees.

SOME OF OUR PERKS INCLUDE

• Recharge and relax with up to four extra days of leave each year. We call them Wellness days
• We offer industry leading 20 weeks paid parental leave
• Save plenty with vehicle salary packaging
• Monetary service milestone awards
• Recruitment referral bonus
• Discounted mobility products and services
• Flexible work arrangements
• Career progression opportunities
• Education support towards your growth, including an individual learning budget per year, free access to LinkedIn Learning and more
• Two paid volunteer days each year to give back to causes that matter to you
• Health and well-being support including a subsidy and an innovative Employee Assistance Program

As a Data and Analytics Engineer
You will deliver end-to-end data and analytics solutions to achieve business outcomes focusing on delivering customer value and operational excellence.

• Working with business and technical stakeholders to understand requirements relating to data and analytics initiatives with a focus on delivering business outcomes
• Designing, developing, testing, documenting, and maintaining data models, reports, and dashboards that meet business needs and requirements
• Designing, developing, testing, documenting, and maintaining data pipelines across a range of technologies that extract, load, combine and transform data from a range of internal and external sources
• Understand and implement data governance requirements that support data and analytics solutions including security, data quality, data classification, trustworthiness, and re-usability
• Collaborating with technical and non-technical stakeholders through a range of forums including but not limited to team members within cross functional delivery teams, data and analytics practice group, and the data and analytics platform team

Essential
Technical Skills:

• T-SQL, SQL Server, Databricks, PySpark, SSRS, and Power BI.
• Familiarity with data and dimensional modeling and other related data tools and platforms.
• Exposure to Lambda and Kappa architecture stacks.
• Hands-on experience building Data Streaming solutions using technologies like Apache Kafka, Azure Event Hub, Confluent, and Apache Flink.
• Building and optimizing data pipelines, data models, reports, and dashboards.
• Working with a broad set of Azure services related to Data and Analytics, including Azure Data Factory, Azure Databricks, Delta Lake, and Azure Synapse Analytics.
• Handling large and complex datasets.

Soft Skills:

• Strong analytical and problem-solving skills.
• Excellent communication and presentation skills.
• Familiarity with Agile methodologies and tools.

Desirable

• Experience in software development and object-oriented design (.Net, Python, JavaScript)
• Experience with DevOps processes and practices (CI/CD, Infrastructure as code)
• Data science skills and experience, AI/ML, Statistical analysis
• Previous experience using Atlassian tools (Jira, Confluence, Bitbucket)
• Experience with Data Replication technologies

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 and belonging and offer work-life balance and career development.

We are a proud equal opportunity employer. Resumes may be sent, and 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.