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Data Engineer
Design and build scalable data pipelines, warehouses, and lakes for a telecom retail software provider, integrating diverse data sources and enabling analytics.
Data Engineer
Design and maintain scalable data pipelines and platforms using Microsoft Fabric and Azure to enable secure, reliable analytics and reporting for a public-sector organization.
Senior Data Engineer
Build and own Flinks’ data and ML platform: pipelines, warehousing, model serving, and governance that power financial insights and payments for banks and fintechs across North America.
Spécialiste en Ingénierie de données - Data Engineering Specialist
Build and maintain high-volume data pipelines using PySpark, Databricks, and AWS to ingest, transform, and store aerospace manufacturing data for analytics and reporting.
Spécialiste en Ingénierie de données | Data Engineering Specialist
Design, build, and maintain high-volume data pipelines and applications using PySpark, Databricks, AWS, and SQL to support analytics and reporting for aerospace manufacturing.
Intermediate Data Engineer
Build and maintain scalable data pipelines in Azure, using Data Factory, Databricks, Synapse, and Data Lake to feed analytics and BI workloads.
Senior Data Engineer: Build and Scale Innovative Data Solutions
Build and scale scalable ETL/ELT pipelines on Databricks (AWS) using Python, SQL, and PySpark to process large production datasets and optimize data integrity.
Data Engineer / Data Architect & Software Developer — Azure / Databricks
Build and scale a cloud data platform for Ontario’s energy sector using Azure, Databricks, and Python/SQL to design pipelines, models, and AI apps within a governed enterprise environment.
Data Engineer
Design and build Microsoft Fabric data lakes and an enterprise data warehouse, integrating ERP data to power analytics and reporting for a university.
Principal Data Engineer – Databricks
Principal Data Engineer designs and migrates enterprise data platforms to Databricks, building scalable Lakehouse architectures, PySpark pipelines, and finance-focused data models for reporting and risk analytics.
Principal Data Engineer Driving Infrastructure Innovation
Principal Data Engineer designs and maintains scalable, self-hosted data pipelines and databases for a game studio, ensuring robust performance and compliance.
Senior Software Engineer, Data
Build and maintain Venn’s data infrastructure—ETL/ELT pipelines, warehouses, and analytics layers—to power product, finance, risk, and marketing decisions in a modern B2B fintech platform.
Senior Cloud & Data Engineer - Azure, DevOps & SQL
Designs and implements Azure-based CI/CD pipelines, manages cloud services, and builds secure data workflows with SQL and ETL/ELT for enterprise healthcare analytics.
AI & Data Analyst
Build and maintain data pipelines, write SQL queries, and monitor data quality to support analytics and AI solutions for clients in a collaborative, office-based role.
Senior Data Engineer – 6 month contract
Build and maintain secure data pipelines using Microsoft Fabric, Azure Data Factory, and PySpark, ensuring compliance with financial regulations and integrating sensitive systems.
Data Engineer - EA Sports FC
Design and build scalable data pipelines and models for EA SPORTS FC, enabling analytics and AI-driven insights that power the world’s top-selling sports game franchise.
Senior Azure Data Engineer Role at PwC
Design and build Azure-based data pipelines and systems using Databricks, Data Factory, and Synapse to integrate and process data for analytics and business solutions.
Principal Databricks Data Engineer
Principal Data Engineer leading the migration from Cloudera to Databricks, building scalable Lakehouse architectures for finance and risk analytics using PySpark, Delta Lake, and Medallion patterns.
Senior Back-End / Data Engineer – Innovation team
Build and own the data pipelines, ML feature stores, and inference APIs that power renewable-energy analytics at scale, integrating forecasts into a SaaS platform for wind, solar, hydro, and storage assets.
Data Eng II (PnD), IT PnD Data Engineering
Build and optimize Amazon’s cloud-based data infrastructure, designing ETL/ELT pipelines and reporting solutions to enable real-time analytics for IT services across the company.