Tech jobs
Job listings
Lead Data Engineering Consultant
Lead the design and delivery of scalable cloud data platforms and warehouses using Snowflake, AWS/Azure, and Databricks, guiding teams from discovery to deployment.
Data Engineer
Design and build scalable AWS and Microsoft Fabric data pipelines for a major bank, insurer or wealth manager, ensuring trusted datasets for analytics and regulatory reporting.
Data Engineer
Builds and deploys production-grade AI/data pipelines: LLM apps (RAG, agents), graph/ETL workflows, and cloud-native data platforms using Python, FastAPI, Airflow, Snowflake, and vector stores.
Data Engineer
Build and maintain scalable Azure data pipelines and infrastructure for a superannuation client, ensuring robust data ingestion, transformation, and reliability.
Contract Data Engineer: Flexible Cloud Pipelines
Build and optimize cloud data pipelines for analytics and AI initiatives using AWS/GCP/Azure, collaborating with product and analytics teams.
Sr. Data Engineer (AWS + Telecom)
Designs and builds scalable AWS data pipelines and curated datasets for reporting and analytics using SQL, Python, PySpark, and AWS services like Glue, Redshift, and Airflow.
Data Engineer
Build and run AWS/Snowflake data pipelines for a global mobility operator, industrializing a new Data Lake and supporting analytics teams with curated datasets.
Data Engineer
Design and build scalable data pipelines using Microsoft Fabric, Python, and Azure Synapse for analytics and reporting across finance, government, and other sectors.
Data Engineer
Build and maintain a modern cloud data platform using Snowflake, AWS, dbt and Dagster to power analytics and business decisions for an Australian gaming systems provider.
Cloud Data Engineer for AI & Data Solutions
Designs and builds cloud data pipelines, warehouses, and ML/AI integrations for clients using Python, SQL, and cloud platforms like Snowflake or Databricks.
Data Engineer
Build and maintain data pipelines and warehouses (Azure SQL, Fabric) to power analytics and reporting for a water utility, enabling data-driven decisions across operations.
Data Engineer
Build and maintain enterprise-scale data pipelines using Microsoft Fabric, Azure, and PySpark to power analytics and Power BI reporting for a Queensland Government agency.
Data Engineer
Design and build cloud-based data pipelines and warehouses using Azure services, Python, and SQL to ingest, transform, and visualize government data.
Data Engineer
Lead the design and maintenance of a data lake and warehouse, ingesting structured/unstructured data, and mentoring a team of data engineers using Azure Data Factory, Databricks, and Python.
Data Engineer
Build and maintain data pipelines using Databricks and dbt, integrating marketing analytics sources like Google Analytics and Meta Ads to power reporting and business decisions.
Semantic Data Architect for AI-Ready Analytics
Designs and maintains AGL’s semantic layer to unify business terms and metrics, enabling AI-ready analytics and self-serve dashboards across the organization.
Data Engineer
Build and maintain Spark pipelines and Kafka ingestion for large-scale government data lakes, ensuring data quality and real-time processing.
Data Engineer (Contract)
Builds and maintains scalable Azure data pipelines using Data Factory, Databricks, and Synapse to support ETL/ELT workflows and ensure data quality and reliability.
Azure Data Engineer: Pipelines, Databricks & Synapse
Build and maintain Azure data pipelines and ETL/ELT processes using Data Factory, Databricks, and Synapse for scalable analytics.
Data Engineer (Azure Databricks & Apache Spark)
Build and optimize data pipelines using Azure Databricks, Apache Spark, and Azure cloud services to ingest, transform, and load enterprise data for analytics and reporting.