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Data Platform Engineer
Build and maintain scalable data pipelines on AWS and Databricks, using Python, PySpark, and modern ETL/ELT frameworks to deliver reliable data across the organization.
Data Platform Engineering Lead
Lead the design and operation of SEMPHN’s enterprise data platform (DataBRIDGE) using Azure, Databricks, dbt, and PySpark to build secure, scalable data pipelines and models for population health analytics.
Data & Analytics Engineer
Build and maintain data pipelines, warehouses, and models for sports/entertainment clients using Python, SQL, and cloud platforms like GCP/Azure.
Data & Analytics Engineer
Build and maintain data pipelines, warehouses, and models for sports/entertainment clients using Python, SQL, and cloud platforms like GCP/Azure to deliver actionable insights and commercial outcomes.
Lead Data Platform Engineer — AWS, PySpark & Pipelines
Lead a small team to build and maintain scalable data pipelines on AWS/Databricks using PySpark, setting architecture standards and guiding ETL/ELT workflows for a SaaS product.
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.
Lead Data Platform Engineer
Lead the design and build of Hunter Water’s modern cloud data platform using Azure, Snowflake, Databricks and Azure Data Factory to support analytics and future AI initiatives.
Senior Data Engineer - AI-Driven Pipelines, Cloud & Hybrid
Build and maintain AI-driven data pipelines and cloud data warehouses using Snowflake, Databricks, dbt and Airflow to power property and mortgage analytics.
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.
Databricks Developer — Lakehouse Data Engineer (Sydney)
Design and maintain scalable data solutions using Databricks and Lakehouse architecture for clients across industries.
Senior Databricks Data Engineer & Azure Consultant
Designs and secures Azure-based data platforms using Databricks, Python, SQL, and Terraform, while implementing governance and automated testing for data pipelines.
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
Build and optimize scalable data pipelines using Python, PySpark, and Databricks for batch and streaming workloads, managing Delta Lake layers and AWS S3 storage.
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.
Senior Data Engineer
Senior Data Engineer builds and maintains scalable ETL/ELT pipelines, data warehouses, and AI/ML platforms to create reusable datasets and enable customer-centric analytics and AI solutions.
Principal Data Engineer
Principal Data Engineer designs and builds scalable cloud data platforms using Snowflake, AWS/Azure, and Airflow/dbt, advising clients on data strategy and architecture.
Lead Data Engineer
Build a new Databricks-on-Azure lakehouse, migrate legacy pipelines, and set up CI/CD to lay the foundation for AI-driven analytics in a superannuation business.
Senior Data Engineer
Senior Data Engineer builds and optimizes cloud data pipelines (Databricks/AWS) to power analytics and ML, collaborating with data scientists and BI teams.