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Data Engineer | Databricks Pipelines & Analytics | Flexible
Build and maintain Databricks pipelines and analytics for Velocity Frequent Flyer’s loyalty program, creating scalable data products and ETL workflows.
Data Engineer - Cloud Pipelines & Enterprise Analytics
Design and maintain cloud data pipelines and enterprise analytics systems to deliver high-quality data for business decisions.
Azure Data Engineer: Build Robust Pipelines & Platform
Build and maintain scalable Azure data pipelines for a financial-services client, ensuring robust infrastructure and performance.
AWS Data Engineer
Build and maintain scalable PySpark and AWS data pipelines for a healthcare SaaS platform, ensuring secure, compliant data flows between clinical systems and the product.
Cloud Data Engineer — Build Scalable Data Pipelines
Design and build scalable cloud data pipelines using engineering best practices and automation to enable data-driven analytics and reporting.
Azure Data Engineer: Lakehouse & AI‑Driven Analytics
Builds and maintains a modern Azure-based data lakehouse for government analytics, using SQL and Python to process and transform large datasets.
Data Engineer - Consultant
Design and build scalable data pipelines across AWS, GCP, or Azure using Databricks, Snowflake, and dbt to enable analytics and AI solutions for enterprise clients.
Lead Data Engineer - Data & AI Delivery (4-Day Week)
Leads data-platform delivery, designs architectures, and optimizes pipelines using Snowflake and Azure for enterprise clients.
Data Engineer Lead
Lead a small team to design and build scalable Azure Databricks-based data pipelines, enforce Kimball dimensional modelling, and establish trusted data assets for analytics and AI initiatives.
Data Engineer Lead
Lead a small team to design and maintain scalable data pipelines and warehouses using Azure Databricks, dbt, and Kimball dimensional modelling to support analytics and AI initiatives.
GCP Data Engineer/Modeller — Enterprise Analytics & BigQuery
Designs and builds scalable data models on Google Cloud’s BigQuery to power enterprise analytics and reporting for a financial services company.
Data Engineer
Design and build scalable cloud data pipelines and platforms to power analytics and AI across Serco’s operations in Australia and Asia Pacific.
Azure Data Engineer for AI-Driven Data Platforms
Builds Azure data pipelines and ETL/ELT processes in Microsoft Fabric or Azure Databricks, collaborates with AI agents, and consults with customers to deliver AI-driven data solutions.
Staff Data Engineer (AWS, Postgres)
Lead a team to design and build cloud-native data pipelines in AWS (S3, Glue, Redshift, Airflow) and Postgres, delivering scalable solutions for financial control and reporting at a major bank.
Staff Data Engineer (Data Platform & Modernisation)
Lead a team to design and build a new cloud-based data platform in AWS for Product Control, using services like S3, Glue, Iceberg, and Redshift to solve complex data-driven challenges at scale.
Data Engineer: Spark & Kafka for Big Data Pipelines
Build and maintain large-scale data pipelines using Spark and Kafka for Federal Government clients, integrating with cross-functional teams.
Data Engineer - Investments
Builds and maintains Snowflake/Python data pipelines for investment analytics, ensuring clean IBOR and performance data for fixed-income and portfolio insights.
Azure Data Engineer
Design and maintain Azure-based data pipelines and lakehouse solutions using Synapse, Data Factory, and Informatica to power analytics and reporting for a government client.
Data Engineer
Build and maintain data pipelines and cloud integrations for a national homebuilder, using Boomi, SSIS, Snowflake and Microsoft Fabric to deliver reliable analytics.
Data Engineer
Build and maintain data pipelines using Snowflake and Git for a high-impact sports club, troubleshooting issues and contributing to software development tasks.