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Data Engineer
Build and maintain scalable data pipelines on GCP using SQL and Python, ensuring data quality and reliability for analytics and reporting.
Cloud-Driven Backend Engineer | AWS Data & Analytics
Designs and builds scalable AWS data pipelines using Python, PySpark, Airflow MWAA, and Redshift to power analytics and data warehousing.
Senior Software Engineer – Data & Cloud (Hybrid, Melbourne)
Senior engineer building data and cloud systems for mortgage lifecycle at REA Group in Melbourne, owning ETL pipelines, CI/CD, and serverless infrastructure.
Salesforce Data Cloud Engineer
Builds and maintains Salesforce Data Cloud and Databricks pipelines to integrate, transform, and unify customer data for real-time decisioning, personalisation, and analytics in high-security enterprise environments.
Senior Associate Data Engineering
Design and build large-scale data pipelines and cloud-native platforms using Snowflake/Databricks, Python, SQL, and IaC tools like Terraform to enable analytics and digital transformation for enterprise clients.
Senior Associate Data Engineering
Design and build cloud-native data pipelines and platforms for clients, using Snowflake/Databricks and infrastructure-as-code tools like Terraform to enable scalable analytics and transformation.
Senior Associate Data Engineering
Design and build cloud-native data pipelines and platforms for clients, using Snowflake, Databricks, and infrastructure-as-code tools like Terraform.
Senior Data Engineer - Cloud Platforms & Pipelines
Designs and builds secure, scalable cloud data pipelines and models for digital transformation, focusing on ingestion, processing, storage, and analytics while collaborating with cross-functional teams.
Azure Data Engineer
Build and maintain scalable Azure data pipelines using Databricks, Spark, Data Factory, and SQL/T-SQL to support cloud data solutions.
Data Engineer (Melbourne or Sydney)
Build and maintain secure ETL pipelines in Python/Java that extract, transform, and load data into CSV files for downstream systems using AWS and SFTP.
Data Engineer: ETL & Data Pipelines (Melbourne/Sydney)
Designs, builds, and maintains ETL pipelines in Python/Java/SQL to move data securely between sources and downstream consumers using AWS and potential Airflow/Claude Code.
Data Engineer
Builds and maintains scalable data pipelines in Databricks using SQL and Python to process complex datasets, troubleshoot issues, and support analytics/reporting for Virgin Australia’s operations.
Data Engineer — Databricks Pipelines for Impact & Growth
Builds and maintains Databricks-based data pipelines in SQL and Python to feed marketing and reporting systems, ensuring reliable, scalable data delivery for Virgin Australia.
Data Engineer - Senior | Melbourne, AU
Build and maintain data pipelines, ETL/ELT processes, and integrations for a payments company, ensuring high-quality data for reporting, AI services, and operational systems.
Azure Data Engineer: Databricks Lakehouse & Data Pipelines
Designs and builds scalable Azure Databricks pipelines using PySpark and Delta Lake to implement ETL/ELT frameworks across a lakehouse architecture.
APS6 Data Engineer
Senior Data Engineer builds and maintains enterprise data pipelines and ETL processes in cloud and warehouse environments for a large federal government program.
Senior Data Engineer – Enterprise ETL & Data Warehousing
Senior Data Engineer builds and maintains ETL pipelines and data warehousing for a large Federal Government program, ensuring reliable data delivery and quality.
Google Data Engineer - GCP
Design and build scalable GCP data pipelines (BigQuery, Dataflow, Pub/Sub) to process petabyte-scale data, enabling analytics and ML across enterprise systems.
Azure Data Engineer - Databricks
Builds and optimizes scalable data pipelines on Azure using Databricks, PySpark, Delta Lake, and related services for ETL/ELT and streaming workloads.
Production Support Engineer
Credigy is seeking a Production Support Engineer to join our Data and Automation team. This role is responsible for supporting, monitoring, troubleshooting, and improving production data pipelines across both modern…