Top Data Jobs in Toronto

Lead the design and architecture of scalable data systems, ensuring optimal performance while mentoring fellow engineers and setting engineering standards.

As a Data Engineer, you'll develop and manage ETL/ELT pipelines, build an analytical data warehouse, ensure data integrity, and collaborate with teams to create reliable data models for ad tech reporting and ML optimization.

Join Provectus as a Senior Data Engineer to design and implement data pipelines, collaborate with clients, manage data, and build APIs using Python and AWS.

The Data Cloud Architect designs scalable architectures, implements zero-ETL integrations, and engages with clients to enhance data strategies and governance in financial services.

The Senior Data Developer will enhance data pipelines, optimize tools, and collaborate with teams to improve the Company Data System and analytics features.

The Associate Data Analyst will support data analysis, develop forecasting models, automate reporting, and analyze trading performance metrics.

As a Senior Data Engineer at Afresh, you'll improve how customer data is integrated and processed, designing robust ETLs and enhancing platform tools to support scalability and accuracy in handling large datasets.

As a Business Development Intern, you will support acquisition activities by validating prospect data, conducting market research, and aiding analysis for software company acquisitions.

Lead and grow a global engineering team, drive technical strategy, and ensure alignment between client goals and engineering solutions in a remote setting.

The Data Scientist designs and develops methods to analyze big data, builds predictive models, and communicates insights to stakeholders.

Develop and enhance data source integrations, improve systems based on metrics and feedback, drive architectural discussions, and participate in on-call rotations to ensure reliability.

As a Senior Business Data Analyst, you'll lead the deployment of data solutions, collaborate with various teams, define business needs, and conduct data analysis to support decision-making within the organization.

As a Data Engineer, you'll design and optimize ETL pipelines, manage large datasets, and collaborate with teams to enhance data usability.

The Consultant will conduct data analysis, build reporting packages, and manage client relationships while ensuring quality control and mentoring junior staff.

The Analyst will conduct in-depth data analytics, work on financial modeling, and prepare client reporting using various data visualization tools, while collaborating with senior consultants and managing client relationships.

As a Data Engineer, you'll design, build, and maintain scalable data platforms and pipelines, collaborating with analysts and scientists to ensure reliable data solutions.

The Director oversees data engineering and AI operations, leading teams, managing projects, ensuring data quality, and developing strategic roadmaps.

The Data Engineer will manage the full data stack, design database architecture, build ETL pipelines, create data integrations, and oversee reporting and data quality.

The Senior Data Engineer will design and optimize data solutions using Microsoft Fabric, implementing scalable data pipelines, models, and ensuring performance tuning of data workloads.

The Software Engineer will provide technical support to customers, collaborate with engineering teams, and drive customer success initiatives while leveraging Python and SQL expertise.

The Data Engineer will build a creative intelligence pipeline, connecting ad data to ETL processes, enabling time-series queries, and documenting the setup for handoff.

The Data Scientist will analyze LLM search data, define core metrics, run experiments, build predictive models, and collaborate with teams to enhance product strategy and marketing effectiveness.

The Senior Product Manager will develop a strategic roadmap for real-time data capabilities, working closely with clients and cross-functional teams to enhance operational efficiency and customer experience in cloud environments.

The FP&A Manager is responsible for leading budgeting, forecasting, and financial model development, while driving process improvements through automation and AI tools. The role involves collaborating with various teams to enhance decision-making based on data-driven insights.

As a Data Engineer at Influur, you will build and optimize data infrastructure, design ETL and ELT pipelines, and ensure data quality while collaborating with cross-functional teams.