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Solution Designer / Lead Data Engineer (Google Cloud)
Design and lead a modern, multi-cloud enterprise data ingestion framework, building scalable pipelines and governance controls to move batch and streaming data into cloud data lakes and warehouses.
Data Engineering Lead
Lead a team to design and maintain enterprise-scale data pipelines and warehouses using ETL/ELT tools, SQL, and cloud platforms to support insurance operations.
Lead Data Engineer - Snowflake Data & AI · ·
Lead a team to design and deploy Snowflake-based data architectures, build ETL/ELT pipelines, and productionise AI models for clients using cloud-native tools and best practices.
Senior Data Engineer - Automation & AI
Build AI-powered knowledge systems and retrieval pipelines for an HCM suite, integrating LLMs, RAG, and agentic workflows in TypeScript/Node.js and Python.
Senior Data Engineer
Senior Data Engineer builds and maintains cloud data pipelines and warehouses using Snowflake, Airflow, and AWS to power analytics and decision-making across a large enterprise.
Data Scientist (Graph DB)
Builds enterprise knowledge graphs and AI solutions using Neo4j or Amazon Neptune to model complex data relationships, metadata, and lineage for analytics and generative AI.
Staff Data Engineer (Data Platform & Modernisation)
Lead the design and modernization of a cloud-native data platform for a major bank, migrating legacy SQL Server systems to AWS-native services like Aurora PostgreSQL and Redshift while building scalable pipelines and ensuring regulatory compliance.
Senior Data Engineer
Design and build scalable data pipelines on Azure Databricks and Microsoft Fabric, mentor junior engineers, and deliver cloud-native analytics solutions for clients across finance, government, and other sectors.
Senior Data Engineer
Build and govern a unified semantic data layer for finance, HR, procurement and compliance using Databricks, dbt and PySpark to power self-service analytics and AI agents.
Solution Designer / Lead Data Engineer
Design and lead a modern, cloud-agnostic enterprise data ingestion framework, building scalable pipelines and governance for batch and streaming data across multi-cloud environments.
Principal Data Engineer
Lead the architecture and delivery of Medibank’s next-gen cloud-native data platforms, Databricks lakehouse, and AI/ML enablement while mentoring engineering teams and setting enterprise standards.
Senior Data Engineer
Build and maintain a Snowflake-centric cloud data platform to power analytics and decision-making at a major airline, using Python, SQL, Airflow, and AWS.
Solution Designer / Lead Data Engineer
Design and lead a modern, cloud-agnostic enterprise data ingestion framework, building scalable pipelines for batch and streaming data across multi-cloud environments.
Data Engineer
Design and maintain scalable data pipelines and Lakehouse/Warehouse solutions using Microsoft Fabric to modernize SCC’s analytics platform and integrate clinical, finance, and operational data for trusted insights.
Data Engineer
Design and maintain secure, scalable data pipelines using Microsoft Fabric and Azure to build enterprise analytics platforms for a Queensland Government data transformation program.
Senior Software Engineer II
Build and maintain Marriott’s data governance platform using Stibo Systems, Java, and AWS, while mentoring junior engineers and ensuring secure, scalable data handling.
Data Analyst-Healthcare
Analyze US healthcare claims, eligibility, and provider data using SQL and Snowflake; build data models, reports, and CI pipelines for value-based care and regulatory needs.
Software Engineer - DA406
Junior software engineer role supporting Marriott’s data governance platforms, implementing policies for data handling, and maintaining IT standards to streamline operations and enhance guest experiences.
Data Engineer: Multimodal ML Data Pipelines
Build and maintain scalable data pipelines to clean, version, and serve terabytes of training data for autonomous defense ML models.
Lead Data Engineering - Platform Ops
Lead a data engineering team to build and operate a secure, scalable Databricks lakehouse on Azure for banking analytics, AI, and regulatory reporting using Kafka, dbt, and Unity Catalog.