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Lead the design and build of scalable data pipelines and platforms using Python, PySpark, Hadoop, Databricks, and cloud tools to power analytics, AI/ML, and business intelligence for enterprise clients.
Build and deploy AI/ML models and analytics pipelines in Azure to drive data-driven decisions for a retail bank, using Python, PySpark, and Power BI.
Build and deploy AI/ML models and analytics pipelines to drive data-driven decisions in banking, using Python, PySpark, Azure, and Power BI.
Design and maintain scalable cloud-based data platforms using Azure and AWS, enabling analytics and ML workflows for a large Canadian insurer.
Design and maintain scalable cloud data platforms using Azure and AWS, focusing on ML lifecycle support, DevOps, and cross-functional collaboration in a hybrid Toronto/London role.
Build and migrate a new Snowflake data warehouse and dbt pipelines for a mental-health platform, designing star schemas and Medallion-architecture models to power analytics and reporting.
As a Senior Data Engineer, you will be working on: Translate data requirements from business users into technical specifications. Collaborate with partner agency's IT teams on technology stack, infrastructure and…
We are seeking a Databricks Data Engineer to design, develop, and optimize modern data platforms using Databricks and cloud technologies. The successful candidate will have strong expertise in building scalable data…
Build and maintain Azure DevOps pipelines, automate ML Ops workflows on Databricks, and CI/CD for Python/C#/JS apps using Terraform and PowerShell.
Designs and optimizes global BI and database solutions using SQL Server, Azure, and ETL tools to deliver scalable data platforms and insights for strategic decisions.
Build and maintain automated MLOps pipelines on Azure for ML model lifecycle management, data pipelines, and CI/CD, ensuring reliability and scalability.
Build data pipelines, dashboards, and automated reports using SQL, Python, Power BI, and Azure to support Australia’s Consumer Data Right initiative and improve data quality.
Builds data pipelines, dashboards, and AI-driven automation for Australia’s Consumer Data Right initiative using SQL, Power BI, Python, and Azure Data Factory.
Builds and maintains data pipelines, dashboards, and AI-driven automation for Australia’s Consumer Data Right (CDR) initiative using SQL, Power BI, Python, and Azure.
Build and maintain cloud-based ETL/ELT pipelines in Snowflake and Azure, migrating on-prem SQL Server workloads to modern data platforms to support analytics and reporting.
Provide L1/L2 support for a data engineering platform, monitoring jobs, troubleshooting failures, and ensuring data availability SLA is met using Snowflake, Databricks, and Azure Data Factory.
🚀 Súmate a Bluetab En Bluetab no contratamos “recursos”. Contratamos talento que quiere crecer en serio. Somos tech, somos exigentes y sí, vamos rápido. Pero aquí nadie compite solo. Trabajamos en equipo, sin…
Roles & Responsibilities Business Understanding At least (3) years of relevant experience in: - Business Requirement Analysis - Business Process and System Understanding - Effective Communication with both business…
Designs and implements cloud-native big-data pipelines on Databricks and Azure, bridging data engineering and science to build scalable data lakes and ML-ready datasets.
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