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Build and optimize SQL-based data pipelines and analytics in a Microsoft-centric stack to power expense and invoice management for Rydoo’s SaaS platform.
Build and secure data pipelines for a banking client, using Scala, Spark, and cloud platforms to process large-scale data into reliable, business-ready datasets.
Build and maintain the AI/ML platform that turns experimental models into production-grade, governed solutions using Databricks, AWS, MLflow and MLOps practices.
Designs and maintains Big Data pipelines, data warehouses, and analytics platforms using Spark, Hadoop, and cloud tools to enable data-driven business decisions.
Build and maintain the AI/ML platform that turns experimental models into production-ready, governed, and scalable solutions using Databricks, AWS, MLflow, and related tools.
Build and maintain data pipelines for analytics, using Python, PySpark, SQL Server, and Azure Data Lake to support travel-industry decision-making.
1 day ago Be among the first 25 applicants Get AI-powered advice on this job and more exclusive features. Our client in the fintech space is seeking a fulltime/permanent Engineering Manager to lead and scale the Data…
Build and own a GCP-based Medallion lakehouse and ML data pipelines for training, inference, and monitoring at scale.
Build and maintain scalable data pipelines on Azure using Databricks, Delta Lake, and PySpark to support banking analytics and reporting.
Build executive dashboards and the analytics datasets behind them using Tableau, SQL, and Python to turn Sangoma’s data into trusted, real-time insights for business decisions.
Build and maintain AWS-based lakehouse pipelines (Bronze/Silver/Gold) using dbt, SQL, and Python to ingest, transform, and deliver governed data products for government procurement analytics and AI use cases.
Design and build scalable data pipelines and modern data platforms on Azure for enterprise clients, focusing on ETL/ELT, data modeling, and analytics to support AI and business intelligence initiatives.
Designs and builds scalable analytics solutions on Microsoft Fabric, creating data pipelines, models, and governance for enterprise BI and reporting.
Build and maintain scalable data pipelines in Azure, using Data Factory, Databricks, Synapse, and Data Lake to feed analytics and BI workloads.
Design and build Microsoft Fabric data lakes and an enterprise data warehouse, integrating ERP data to power analytics and reporting for a university.
Lead a team of data engineers building and optimizing Databricks-based cloud data platforms to deliver business insights using Lakehouse architectures and AWS.
Principal Software Developer – AI Data Architect designs and leads an AI-ready data platform for Caseware’s cloud products, setting standards for data modeling, governance, and AI integration while mentoring teams.
Design and maintain scalable ETL/ELT pipelines in Microsoft Fabric and SAP BW, build reusable data products, and optimize data warehouse structures for analytics and AI-readiness.
Senior SQL Data Engineer builds and optimizes ETL pipelines, designs data models, and writes Python/SQL for a Snowflake-based data platform, mentoring junior engineers and troubleshooting production issues.
Build and optimize scalable data pipelines and lakehouse architectures using Microsoft Fabric, Databricks, and Snowflake while consulting with clients to deliver data-driven solutions.
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