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Sr Data Engineer (AWS)
Designs and maintains scalable AWS data pipelines using SQL, Python, and PySpark to ingest, transform, and serve data for analytics and ML.
Data Engineer
Build and maintain scalable data pipelines and warehousing solutions in Azure to support Kinetic’s sustainable transport business with trusted, high-quality data.
Hybrid Data Engineer - AI-Ready Data Platform
Build and maintain scalable data pipelines in Microsoft Fabric to power analytics, reporting, and AI initiatives for a law firm.
Data Engineer, AI and Data, Technology Consulting
Build and maintain scalable data pipelines and cloud-based data solutions using Databricks, Snowflake, PySpark and dbt to power AI, analytics and reporting for enterprise clients.
Data Engineer
Build and maintain scalable data pipelines and analytics platforms using Microsoft Fabric, Snowflake, and Power BI to support reporting and automation for a logistics company.
Data Engineer for AI & Analytics Pipelines (Hybrid)
Designs and builds scalable data pipelines for AI and analytics using Databricks, Snowflake, and PySpark to deliver clean, structured data for reporting and modeling.
Data Engineer - (AI & Databricks)
Builds scalable AI-enabled data pipelines on AWS and Databricks, integrating MCP servers and leveraging AI tools to automate and optimize engineering workflows.
Data Engineer - (AI & Databricks)
Builds scalable data pipelines and AI-enabled integrations on AWS and Databricks, leveraging MCP servers and modern data engineering practices.
Data Engineer – AI & Analytics Pipelines (Hybrid)
Designs and builds scalable data pipelines using Databricks, Snowflake, Data Factory and dbt to power analytics and AI workloads.
Senior Data Engineer
Senior Data Engineer building scalable cloud data pipelines and platforms to support AI, analytics, and enterprise decision-making using Python, PySpark, and Azure technologies.
Marketing Data Engineer
Build and maintain a marketing data platform that ingests and standardizes data from digital ads, agencies, and analytics tools to power marketing analytics and performance measurement.
Data Engineer
Design and build scalable AWS-based data pipelines and ETL/ELT processes using Snowflake and Kafka to support enterprise analytics and reporting.
Full Stack Software Developer
Build secure, full-stack React apps and data-processing tools for Australian Defence systems, using XML/JSON, schema languages, and Java back-end services.
Data Engineer III
Build and maintain scalable data pipelines for McDonald's Digital Payments systems using GCP, BigQuery, Airflow, Spark, and Kafka to ensure reliable, high-quality data for analytics and reporting.
Sr. Manager Data Engineering
Lead the data architecture for McDonald’s global ServiceNow platform, defining CMDB/CSDM models, governance standards, and integration patterns to ensure scalable, secure, and trusted enterprise data.
Applied AI/ML Scientist
Build and deploy AI/ML models for demand forecasting, personalization, and content enrichment using Python and PyTorch, then integrate them into production systems.
Senior Devops Engineer
Build and maintain Azure infrastructure and CI/CD pipelines for a data platform using Bicep, Azure DevOps, Databricks, and Power BI.
AI Data Engineer
Build and maintain a JSON-LD semantic layer, knowledge graphs, and vector/RAG pipelines to make financial compliance data AI-ready for LLM-powered analytics.
Solution Architect – Data & AI
Design and lead enterprise-scale Data & AI solutions on Microsoft Azure, using Fabric, Databricks, and Purview to build scalable analytics and AI platforms for clients.
Data Scientist
Build and maintain enterprise-scale data platforms using Databricks, Spark, and ETL/ELT pipelines for large-scale data ingestion and integration.