Tech jobs
Job listings
Senior Data Engineer
Senior Data Engineer builds and maintains production-grade data pipelines and backend services using Databricks, while also developing frontend features for business applications.
Software Engineer - AI-Driven Healthcare
Build AI-driven healthcare software using Java/Python and big-data tools like Apache Hudi and Databricks to automate processes and improve patient care.
Hybrid Data Engineer Specializing in Azure and Databricks Development
Build and maintain Azure-based data pipelines and warehouses using Databricks and Synapse to power analytics and reporting for data-driven applications.
Data Engineer
Build and maintain cloud data pipelines and ETL processes using PySpark, Databricks, SQL Server, and AWS to power BI and reporting for utility, insurance, and government clients.
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.
Python Software Engineer - Data Solutions
Build and optimize Python-based data solutions on Databricks for capital markets products, including ETL pipelines, data models, and automated testing in an Agile environment.
Deals Real Assets, Data Engineering & Digital Solutions, Senior Associate
Senior Associate builds data pipelines and AI-driven tools in Azure to optimize capital projects for PwC’s Real Assets advisory team.
Jr.Gen AI Engineer
Build and deploy agentic AI applications, RAG systems, and AI agents using Python, LLMs, and Google Cloud tools like Vertex AI and Databricks.
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.
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 Software Architect, AI
Principal architect leading the design of AI-native, large-scale software platforms, from ideation to release, using generative and agentic AI across the full product lifecycle.
Senior AI Data Scientist
Build, deploy, and optimize ML and agentic AI models to personalize client experiences and improve decisions at a modern bank, using Python, PySpark, TensorFlow, and Databricks in a regulated environment.
Senior AWS Databricks Data Engineer - Hybrid Toronto
Designs, builds, and maintains scalable AWS Databricks data pipelines, ensuring quality and collaborating with data scientists in a hybrid Toronto role.
Senior Data Engineer - Databricks & Azure for Banking
Designs and maintains Azure-based data pipelines and ETL processes on Databricks for a banking client, ensuring high-quality financial data integration.
Databricks Data Engineer - ETL Lead (Hybrid Toronto)
Lead ETL development and manage a Databricks platform for Capital Markets, building seamless data flows using Python and SQL.
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.
AI and Data - Data Architect (Databricks)
Design and lead enterprise-scale data platforms using Databricks and Azure, setting standards and reusable assets while advising clients on data architecture and emerging tech.
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.
Lead Data Engineer, Cloud Platforms at Citco
Lead a team of data engineers building and optimizing Databricks-based cloud data platforms to deliver business insights using Lakehouse architectures and AWS.