Mid-Senior Data Engineer (Multiple Vacancies)

seek.com.au; Sydney; In loco; AUD 120.000 - 180.000; Tempo pieno

Descrizione del lavoro

seek.com.au is actively seeking experienced Data Engineers to join our growing technology team and contribute to the ongoing development of our data platform. You will build and maintain scalable data pipelines and ETL/ELT processes while developing cloud-based data solutions to support analytics and reporting.

In this hands-on role, you will work with SQL, Python and modern data engineering technologies, design and optimise data models for performance, improve data quality and monitoring, and

Competenze

• Strong commercial experience in Data Engineering.
• Advanced SQL skills and Python development.
• Experience with cloud platforms (AWS/Azure/GCP).
• Exposure to Snowflake/Databricks/dbt or similar tools.

Mansioni

• Build and maintain scalable data pipelines and ETL/ELT processes.
• Develop cloud-based data solutions to support analytics and reporting.
• Work with SQL and Python and modern data technologies.
• Design and optimize data models for performance and reliability.
• Improve data quality, pipeline monitoring and automated testing.
• Collaborate with software engineers, analysts and business stakeholders.
• Contribute to technical design decisions and engineering standards.

Conoscenze

Data Engineering

SQL

Python

AWS

Azure

GCP

Strumenti

Snowflake

Databricks

dbt

CI/CD

Descrizione del lavoro

We're looking for experienced Data Engineers to join our growing technology team and contribute to the ongoing development of our data platform.

Data is becoming increasingly important to how we operate, make decisions and deliver value across the business. We're investing in the technology, people and processes needed to build a scalable and reliable data environment.

These are hands‑on positions with the opportunity to influence how our data solutions are designed, built and maintained.

What You'll Be Doing

• Building and maintaining scalable data pipelines and ETL/ELT processes.
• Developing cloud-based data solutions to support analytics and reporting.
• Working with SQL, Python and modern data engineering technologies.
• Designing and optimising data models for performance and reliability.
• Improving data quality, pipeline monitoring and automated testing.
• Collaborating with software engineers, analysts and business stakeholders.
• Contributing to technical design decisions and engineering standards.

We're looking for experienced Data Engineers to join our growing technology team and contribute to the ongoing development of our data platform.

Data is becoming increasingly important to how we operate, make decisions and deliver value across the business. We're investing in the technology, people and processes needed to build a scalable and reliable data environment.

These are hands‑on positions with the opportunity to influence how our data solutions are designed, built and maintained.

What You'll Be Doing

• Building and maintaining scalable data pipelines and ETL/ELT processes.
• Developing cloud-based data solutions to support analytics and reporting.
• Working with SQL, Python and modern data engineering technologies.
• Designing and optimising data models for performance and reliability.
• Improving data quality, pipeline monitoring and automated testing.
• Collaborating with software engineers, analysts and business stakeholders.
• Contributing to technical design decisions and engineering standards.

What We're Looking For

• Strong commercial experience in Data Engineering.
• Advanced SQL skills and hands-on Python development experience.
• Experience with AWS (ideally), Azure or GCP.
• Exposure to Snowflake, Databricks, dbt or similar modern data technologies.
• Understanding of data modelling, orchestration and cloud architecture.
• Experience with CI/CD, version control and engineering best practices.
• A proactive approach to problem‑solving and delivering quality solutions.

Why Join Us?

You’ll be joining a collaborative environment where engineering quality matters and there’s genuine scope to influence how our data capabilities evolve.

We value people who take ownership, enjoy solving complex problems and want to continue developing their technical expertise.

If this sounds like the right next step, we’d love to hear from you.