1 month ago

Data Engineer

Toyota Finance Australia

On Site
Full Time
A$135,000
Sydney, New South Wales, Australia
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Job Overview

Job TitleData Engineer
Job TypeFull Time
Offered SalaryA$135,000
LocationSydney, New South Wales, Australia

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Job Description

How you'll make an impact

As a Data Engineer at Toyota Finance Australia, you will be a vital member of our Data Office team. In this role, you'll design, build, and maintain automated data pipelines that extract, transform, and load (ETL) data from multiple sources into our data warehouse. Your work will ensure data is clean, consistent, and accessible for analysis, enabling smarter decisions across the business.

You'll collaborate with data scientists, analysts, and business intelligence teams to deliver high-quality solutions from a prioritised backlog of incidents and demands. If you're proactive, detail-oriented, and passionate about data quality, this is the role for you.

Your usual day in the office will include:

  • Design and implement data pipelines from conceptual to physical stages.
  • Code, test, and maintain ETL processes in line with agreed designs.
  • Monitor and resolve production pipeline issues promptly.
  • Assist with release management and deployment processes.
  • Collaborate with stakeholders to understand requirements and deliver solutions that meet SLAs.

Your attributes

  • Degree in Computer Science, IT, or related field.
  • 2+ years' experience in a similar role.
  • Proficiency in Spark SQL, PySpark, Python, SQL Server, SSIS, SSRS, Databricks, Azure Data factory (ADF), Power BI.
  • Experience with Jira, Confluence, and ServiceNow.
  • Strong problem-solving skills and ability to work under pressure.
  • Excellent time management, attention to detail, and collaboration skills.

Please note this role will require rostered shift work (7am - 6pm)

Life at Toyota & What we offer you

We pride ourselves on a work culture that supports and rewards people. From development programs to recognition programs, we make sure everyone at Toyota Finance Australia lives their best possible life. After all, our people are our greatest assets.

Toyota Finance Australia is well-recognised for offering:

  • Flexible hours and workspaces
  • Career Development
  • 26 weeks paid primary carers leave & 8 weeks paid parental leave for secondary carers
  • Wellness facilities & Employee Assistance Program (private coaching available to you and your family)
  • Paid volunteer days to support your community / Employee Community Grants Fund
  • Employee Car Benefit Scheme

Building a great place to work

You're welcome to find out more by visiting our careers page: https://tfacareers.com.au/

We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

We are happy to adjust the recruitment process for your accessibility requirements. Please contact us and let us know your preferred type of communication and we will be in touch as soon as possible to discuss your requirements.

Come with us and help create the future.

Key skills/competency

  • Data Pipelines
  • ETL Processes
  • Spark SQL
  • PySpark
  • Python
  • Azure Data Factory (ADF)
  • SQL Server
  • Databricks
  • Power BI
  • Data Warehousing

Tags:

Data Engineer
Data Pipelines
ETL Processes
Data Warehousing
Data Quality
Data Analysis
Problem Solving
Collaboration
Monitoring
Deployment
Stakeholder Management
Spark SQL
PySpark
Python
SQL Server
SSIS
SSRS
Databricks
Azure Data Factory
Power BI
Jira

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How to Get Hired at Toyota Finance Australia

  • Research Toyota Finance Australia's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
  • Tailor your resume: Highlight data engineering skills, ETL expertise, and proficiency in Azure Data Factory.
  • Showcase relevant projects: Detail your experience with pipeline design, implementation, and data quality assurance.
  • Prepare for technical questions: Be ready for in-depth questions on SQL, Python, Spark, and cloud data platforms like Azure.
  • Emphasize problem-solving abilities: Discuss examples of how you've resolved complex data-related challenges under pressure.

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