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Build and maintain scalable Azure data pipelines using Data Factory, Databricks, and Synapse to ensure reliable, high-quality data flows and ETL/ELT processes.
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.
Build and maintain scalable Azure-based data pipelines and lakehouses to feed analytics and BI for NSW government projects, using PySpark, Synapse, Fabric, and Power BI.
Design and maintain scalable AWS data pipelines, ETL/ELT processes, and cloud data warehouses to support analytics and business decisions.
Build and maintain Azure-based data pipelines and AI-assisted workflows for a fintech company, enabling scalable analytics and insights.
Senior Data Engineer builds and optimizes Azure-based data pipelines and semantic layers for retail analytics and BI, using Databricks, SQL Server, and Power BI.
Builds and maintains enterprise-scale data pipelines and integrations to move and validate data for reporting and analytics across the company.
Design and build data pipelines and warehouses to support policy analytics for Building Commission NSW using Python/Java, SQL, and cloud/big-data tech.
Lead a team modernizing Western Power’s data systems, integrating legacy Oracle/Informatica with Snowflake and dbt to shift toward a federated, domain-driven architecture.
Senior Data Engineer builds and maintains scalable data pipelines to support analytics and decision-making for NSW’s Building Commission.
Build and maintain scalable data pipelines for Roku’s advertising auction platform, optimizing workflows and ensuring robust data infrastructure.
Lead Data Engineer at UBank designs and builds scalable data pipelines and models to power the bank’s analytics and decision-making using cloud-native tools.
Leads data engineering projects for clients, designing scalable pipelines and mentoring teams while translating business needs into technical specs using tools like Airflow.
Build and maintain cloud-native ETL/ELT pipelines and data models for Amazon’s network operations, migrating legacy workloads and ensuring data quality.
Designs and maintains cloud-based data pipelines that feed analytics and ML systems, ensuring scalable ingestion, transformation, and data quality across the lifecycle.
Lead the design and deployment of agentic AI systems and multi-step reasoning models for enterprise use cases, mentoring engineers and shaping AI governance.
Builds and maintains Azure-based data pipelines using SQL, PySpark, and Azure Synapse to enable scalable, governed data workflows for analytics.
Lead SAP Business Objects Data Engineer designs, builds, and maintains reporting solutions and data engineering pipelines for a federal government client using SAP BusinessObjects, WebI, and dashboards.
Boyce is a leading Australian advisory firm with over 50 years’ experience supporting individuals, businesses, and communities. We are in an exciting phase of transformation, deliberately shifting toward a…
Leads data-architecture engagements for clients, designing Snowflake-centric solutions and aligning data roadmaps with business goals.
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