Top Data Jobs in Toronto
The Senior Data Engineer at OTIP Group of Companies is responsible for building, maintaining, and enhancing Azure data pipelines for various analytical and operational use cases. They lead data migration, data warehousing, and master data management solutions in the Azure cloud. Additionally, they coach and mentor junior staff and team members.
Enable is seeking an experienced Senior Data Scientist to drive the creation of AI and ML products and tools within a prominent SAAS tech company. Responsibilities include crafting and executing an AI strategy, implementing AI innovations, collaborating with engineering leadership, and ensuring ethical AI applications in compliance with standards.
As a Senior Data Engineer at Kainos, you will design and develop data processing and data persistence software components for solutions handling data at scale. You will work in agile teams and provide strong development leadership in large-scale data processing software.
As a Data Architect at Kainos, you will provide expertise in core data architecture disciplines, work closely with clients to understand data requirements, lead technical solutions, manage a team, and contribute to industry-leading technical expertise in Data & Analytics.
As a Lead Data Engineer at Kainos, you will be responsible for designing and developing data processing and data persistence software components for solutions handling data at scale. You will provide development leadership, enforce best practices, and ensure software product due diligence. Your responsibilities also include troubleshooting, working on ETL/ELT data processing pipelines, and collaborating with various teams for operational readiness and security compliance.
The Engineering Lead Manager, Data Science role at Index Exchange involves ownership over the research, development, and production of machine learning and data science algorithms and usage of data pipelines. The systems process over 250 billion auction events and up to 100TB of data every day, with a focus on global efficiency and reliability.
The Senior Manager, Risk Data & Solution Development at a leading bank in Canada is responsible for developing solutions to support data and solution delivery under the Risk Data Management mandate. This role involves coding for data extraction and transformation, creating tools for model development, and supporting risk reporting within the bank.
Lead the design, analysis, and interpretation of experiments, develop statistical models and machine learning algorithms, analyze large datasets, and drive high-impact data projects.
As a Senior Data Analyst for Virtual Connect Analytics, you will optimize operational efficiency, enhance customer experience, and drive revenue growth through data analysis. Responsibilities include data collection, analysis, reporting, visualization, performance monitoring, predictive modeling, and cross-functional collaboration.
The Sales Operations and Market Analyst at Bristow Group will provide analytical support around data, utilize Power BI, Excel, Tableau, and other tools to drive revenue growth and operational efficiency, work closely with various teams to provide strategic market insights, and ensure data integrity and system alignment.
Lead a team of 15 to 20 Data Stewards, deliver on team targets, grow and develop the team, work with the Product Manager, design and optimize processes for data quality and efficiency, support additional projects related to data stewardship.
Perform complex audits and assessments of risk and control environments using analytical tools and data science. Develop and support analytical solutions across various data platforms. Leverage data science for testing and identification of data quality concerns. Strong analytical and interpersonal skills required.
Design and build data solutions using the latest technologies, contribute to team and community, seek out innovations, work on transformational and BAU projects, utilize DevOps, and be part of an agile team for end-to-end delivery of business needs.
Drive custom risk Analytics and Insights to business partners by building and operating a modern data stack for reporting & analytics. Contribute to the success of risk oversight strategies and objectives. Architect, implement, and manage data models and pipelines for cloud data platform/services.
Lead Data Engineer responsible for ETL activities, data modeling, and building data infrastructure to support decision-making and business process optimization. Collaborate with teams to deliver medium-high complexity initiatives aligned with IT Risk objectives. Own projects to elevate KRI reporting and be an expert on available data sets and tools.
Senior Data Scientist responsible for driving Modular Intelligence for Walmart through application of CV/AI capabilities, developing statistical and machine learning models, building ML pipelines, and communicating insights to business partners.
The Senior Data Scientist and ML Engineer will be responsible for setting up predictive models and productionalizing MLOps pipelines to grow the capital lending product while ensuring optimal risk management. They will collaborate with cross-functional teams to deliver actionable solutions and drive organizational growth and success.
Seeking a seasoned Staff Data Engineer to lead data engineering initiatives and build end-to-end analytical solutions using modern cloud technologies. Responsibilities include designing and managing data pipelines, ensuring data quality, building new data models, and mentoring team members. Ideal candidates will have extensive experience in data engineering and technologies such as Snowflake, ETL/ELT, AWS, and Python scripting.
Analyzing data to deliver insights for game improvements and revenue growth in the gaming industry. Collaborating with stakeholders to drive data-informed conversations and ensure data quality for accurate reporting and analysis.
Seeking a Staff Data Engineer to lead data engineering initiatives and build analytical solutions. Responsibilities include designing data pipelines, managing data infrastructure, ensuring data quality, and mentoring team members. Requires 8+ years of experience in data engineering and expertise in Snowflake, ETL/ELT, AWS, Python, and DevOps tools.
Coordinate with data scientists, data analysts, software engineers, and product managers to design and evolve data architecture, build and scale ETL pipelines, maintain data infrastructure systems, write tools in Python, research new technologies, and advocate for tool adoption within the data engineering team.
Seeking an AI Engineer & Researcher to work on building AI systems that accurately understand the universe and aid humanity in its pursuit of knowledge. Responsibilities include building features, monitoring data quality, driving data collection projects, and innovating new data generation methods. Must have strong communication skills and experience in web application development, collaborating in cross-functional environments, and connecting machine learning model behavior to data quality.
Senior Data Engineering Manager responsible for Core Banking transformation initiatives across Information Management. Manage development and implementation of data pipelines for CCB Migration, LATAM, and US transformation. Responsible for data standards and integration across multiple applications.
Lead, EV Data Intelligence supporting EV team in analyzing and developing insights from vehicles, charging, and energy data. Responsible for developing data sources, data architecture, and tools to support EV product development and operations. Engage with cross-functional teams for data consistency and processing solutions.
Lead designing and implementing scalable data ingestion systems for analytics and ML/AI solutions, analyze complex data flows, design data models, develop observability systems, drive research on new software tools, and support data user needs.
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