This job is no longer available
This job expired on 30/07/2026. It no longer accepts applications.
Data Engineer – PySpark & Azure Data Factory
Collabera · Sydney
Job description
About the role
We are looking for a Data Engineer to design, build and maintain large‑scale data processing solutions. The role focuses on leveraging PySpark and Azure Data Factory to create robust ETL/ELT pipelines that support our data‑driven initiatives.
Key responsibilities
- Develop, test and optimise PySpark jobs for high‑volume data transformations.
- Design, schedule and monitor data pipelines using Azure Data Factory.
- Implement and maintain SQL queries and relational database structures.
- Build and support data warehousing and integration solutions following best‑practice ETL/ELT patterns.
Required profile
- Strong hands‑on experience with PySpark for large‑scale data processing.
- Solid experience with Azure Data Factory for pipeline orchestration.
- Proficiency in SQL and relational database concepts.
- Good understanding of ETL/ELT pipelines, data warehousing and data integration patterns.
Required skills
- PySpark
- Azure Data Factory (ADF)
- SQL
- Relational databases
- ETL/ELT pipeline design
- Data warehousing
- Data integration patterns
Questions fréquentes
Why are you reporting this job?
Explore further
Salaries, guides and searches in Australia.
Salaries by job title
A question about this job?
Ask it here: you will get the full job summary by e-mail, right away.
Boost your chances
Upload your CV — we will match you with relevant openings.
Analyzing your CV...
Collabera
Sydney
Related job offers
-
Data Analyst
teamchildfund Sydney -
Systems Administrator – Customer Onboarding & Transition
Centorrino Technologies Sydney -
Senior Strategy Consultant
Centorrino Technologies Sydney -
Associate Principal Consultant, Business Analyst
Nagarro -
Wintel Infrastructure Engineer
Centorrino Technologies Canberra