About the role

You will design and deliver scalable end-to-end data pipeline solutions while collaborating with stakeholders to develop effective data integration strategies. Additionally, you will monitor production pipelines, conduct code reviews, and contribute to continuous improvement initiatives within the data platform.

What they look for

PySpark Spark SQL Python Databricks Azure Data Factory Azure Event Hub AWS Kinesis SQL PostgreSQL Power BI SQL Server SSIS SSRS Data warehousing Data lakes Master data management

Requirements

Candidates must hold a degree in Computer Science, Information Technology, or a related discipline and possess at least 3 years of experience in a Data Engineering role. Strong technical proficiency in Python, PySpark, SQL, and Azure/AWS data services is required, along with excellent communication and problem-solving skills.

Benefits

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 Paid volunteer days Employee community grants fund Employee car benefit scheme

Full description

How you'll make an impact

As a Senior Data Engineer, you'll be responsible for designing and delivering scalable data pipelines, transforming complex data into valuable business insights, and helping drive best practice across the Data Engineering team. You'll work closely with stakeholders, analysts and technical teams to build reliable and efficient data solutions while contributing to the continuous improvement of our data platform.

This role offers the opportunity to combine hands-on engineering with solution design, coaching, peer reviews and operational support within a collaborative and innovative environment.

Your usual day in the office will include:

Design end-to-end data pipeline solutions from concept through to implementation.
Collaborate with business and technical stakeholders to gather requirements and develop effective solutions.
Build, test and deploy robust ETL and data integration pipelines.
Ensure solutions align with architectural standards, governance requirements and industry best practices.
Conduct code reviews and support the development of team capability.
Monitor production pipelines and assist in resolving incidents and performance issues.
Contribute to release planning, deployment activities and continuous improvement initiatives

Your attributes

You are a motivated and proactive data professional with strong technical expertise and a passion for delivering high-quality solutions. You thrive in collaborative environments, enjoy solving complex problems and are committed to continuous improvement.

Skills & Experience

Degree qualification in Computer Science, Information Technology or a related discipline
3+ years' experience in a similar Data Engineering role. Strong experience with: PySpark and Spark SQL, Python, Databricks (including Lakeflow and AI capabilities), Azure Data Factory (ADF), Azure Event Hub, AWS Kinesis, SQL and PostgreSQL, Power BI, SQL Server, SSIS and SSRS
Experience with Jira, Confluence and ServiceNow.
Knowledge of Data Warehousing, Data Lakes, Lakehouse architecture, Master Data Management and emerging AI technologies.
Excellent communication, stakeholder management, prioritisation and problem-solving skills

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 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.