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Databricks Data Engineer: SAS Migration & Governance Lead
Migrate SAS code and workflows to Databricks, build PySpark/SQL pipelines, and enforce data governance for scalable reporting solutions.
Data Architect / Engineer
Designs and builds AI-ready data platforms for clients using Azure, Fabric, and Databricks, translating business needs into scalable data architectures.
Python Data Engineer
Build and maintain Python-based data platforms and pipelines for a global trading firm, focusing on scalable backend services and real-time data processing.
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.
Data Engineer: Multi-Cloud & AI Enablement
Design and build scalable data pipelines across AWS, GCP, and Azure, using Databricks, Snowflake, and dbt to enable analytics, governance, and AI solutions for clients.
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.
Data Engineer
Build and maintain scalable data pipelines on Databricks to power analytics, reporting, and marketing for Velocity Frequent Flyer’s loyalty program.
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 Scientist - Machine Learning and Generative AI - Full Time
Design, build, and deploy machine learning and generative AI models for enterprise clients, focusing on natural-language analytics, cloud platforms, and production workflows.
GCP Data Engineer
Design and build scalable data pipelines on GCP, set up secure data lakes/warehouses, and collaborate with analysts and ML engineers using Python, Spark, and Airflow.
Lead Data Engineer – Databricks (Hybrid/AI-First)
Lead a team to design and deploy enterprise data pipelines and ML-ready architectures on AWS/Azure/GCP, using Databricks to enable AI-driven analytics and services.
Lead Data Engineering Consultant
Lead the design and delivery of scalable cloud data platforms and warehouses using Snowflake, AWS/Azure, and Databricks, guiding teams from discovery to deployment.
Data Engineer
Builds and deploys production-grade AI/data pipelines: LLM apps (RAG, agents), graph/ETL workflows, and cloud-native data platforms using Python, FastAPI, Airflow, Snowflake, and vector stores.
Data Engineer
Build and maintain scalable Azure data pipelines and infrastructure for a superannuation client, ensuring robust data ingestion, transformation, and reliability.
Data Engineer
Build and maintain scalable data pipelines and cloud-based platforms using AWS, Python, Spark, and Databricks to power Sportsbet’s analytics and AI-driven products.
Data Engineer
Build and maintain scalable data pipelines and cloud-based data platforms using AWS, Python, Spark, and Databricks to power Sportsbet’s analytics and AI-driven products.
Data Engineer
Design and build scalable data pipelines using Microsoft Fabric, Python, and Azure Synapse for analytics and reporting across finance, government, and other sectors.
Cloud Data Engineer for AI & Data Solutions
Designs and builds cloud data pipelines, warehouses, and ML/AI integrations for clients using Python, SQL, and cloud platforms like Snowflake or Databricks.
Data Engineer
Build and maintain data pipelines and warehouses (Azure SQL, Fabric) to power analytics and reporting for a water utility, enabling data-driven decisions across operations.