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Cloud Data Platform Engineer
Build and maintain a secure, scalable AWS-based data platform using Kubernetes, Airflow, and infrastructure-as-code to enable data ingestion, ETL, and analytics for internal teams.
Cloud Data Platform Engineer
Build and run a secure, scalable AWS-based data platform using Kubernetes, Airflow, and Terraform to enable analytics and ETL workloads for internal teams.
Data & Backend Engineer (Tax Technology)
Build and optimize a global tax analytics platform using .NET, SQL Server, and automation to streamline compliance and unlock insights for enterprise clients.
Senior AWS Data Engineer
Design and maintain scalable data pipelines on AWS using Glue, EMR, and Athena, with PySpark and SQL for transformations and DevOps practices via Terraform and GitLab.
Senior AWS Data Engineer - Real-Time Pipelines & Airflow
Designs and optimizes AWS-based data pipelines using Python, PySpark, Airflow, and Redshift/S3/DynamoDB/Snowflake for batch and real-time analytics.
Senior Data Engineer - AI & MLOps
Build and optimize AI/ML and data pipelines for a sensor-fusion system, focusing on real-time processing, CI/CD, and MLOps to support an autonomous team in Sydney.
Lead Data Engineer — Reconciliation Platform
Lead a financial reconciliation platform using AWS, ensuring accurate data processing and quality for a major Australian bank.
Principal Consulting AI / Data Engineer
Principal AI/Data Engineer designs and builds enterprise-scale data and AI solutions on Databricks and cloud platforms, while leading client engagements and translating complex tech into business value for executives.
Senior Data Engineer – Azure Databricks
Senior Data Engineer builds and optimizes Azure Databricks pipelines for a financial client, migrating Synapse workloads to Delta Lake and creating scalable data ingestion frameworks.
Senior Data Engineer (Melbourne/Adelaide)
Senior Data Engineer builds and optimizes cloud data platforms and pipelines for utilities and asset-heavy clients using Azure, Azure Data Factory, and Microsoft Fabric.
Senior Data Engineer (Contract) — Kafka & Event-Driven Pipelines
Build and maintain Kafka-based event-driven pipelines and data ingestion systems for a trading environment, integrating market data, risk, and valuation systems.
Senior Forward Deployed Data Engineer: Big Data AI Projects
You’ll design and implement big-data pipelines on Databricks for clients, troubleshoot issues, and guide teams to turn raw data into actionable insights while managing customer engagements.
Principal Azure Data Engineer & Governance Lead
Leads Azure data engineering and governance projects, designing scalable solutions with Azure Data Factory, Synapse, Databricks, and BI tools while overseeing delivery and architecture.
Senior Data Engineer, Core Banking Migrations
Senior Data Engineer builds and operates pipelines to migrate decades of legacy banking data into Constantinople’s AI-native banking platform using Snowflake, Python, and AWS.
Senior Data Engineer — Real-Time AWS
Designs and builds real-time data pipelines on AWS using PySpark, Airflow, and Redshift to power enterprise-scale analytics and insights for an HR-focused SaaS platform.
Senior Data Engineer: Azure Data Lake, Spark & Streaming
Design and build scalable data pipelines on Azure Data Lake and Spark, enabling analytics, reporting, and ML use cases while mentoring engineers.
Senior Data Engineer & Team Lead — Data Lake Architect
Lead the design and governance of a scalable data platform, building data lakes/warehouses and modern architectures while mentoring a growing team.
AWS Data Engineer
Build and maintain AWS-based data pipelines and analytics platforms using services like Glue, Redshift, and SageMaker to enable data-driven insights and reporting.
Senior Data Engineer
Design and build scalable data pipelines and analytics platforms using Azure and Microsoft Fabric for enterprise clients, focusing on data architecture, governance, and transformation.
*AWS Data Engineer*
Design and implement AWS-based data pipelines, ETL processes, and analytics solutions to support business decisions using SQL, Python, and DevOps practices.