Top Data Jobs in Toronto
Seeking dynamic and highly skilled Senior and Principal level Data Engineers to design and build the core foundation of an Enterprise Data Platform, involving architecting, designing, and developing core data platform components with a microservices architecture, creating data platform SDKs and libraries, and optimizing data storage and processing performance for large-scale datasets.
The Manager, Data Engineering at RBC Canadian Banking Operations (CBO) Data and Analytics Center of Excellence will lead the enhancement of data pipelines to support strategic insights. Responsibilities include developing data pipelines, collaborating with business intelligence teams, ensuring data governance, and more.
Lead and enhance data lake platform, develop long-term data architecture standards, create tactical solutions for data management, analyze and implement Big Data technologies for business intelligence, and drive projects merging digital and transactional data for analytics.
Join Figment as a Senior Data Engineer to build and manage data pipelines, implement data modeling, and automate data processes. Collaborate with teams to improve data infrastructure and promote best practices in data engineering.
Develop high performance and scalable solutions for extracting, transforming, and loading big data. Design and deploy cutting-edge solutions at scale to drive value from data at Walmart. Support People Data applications ensuring Data Quality and Governance standards. Collaborate with engineering teams globally to ensure data accuracy and quality.
Develop high performance and scalable solutions to extract, transform, and load big data. Design, build, test, deploy cutting-edge solutions at scale. Support People Data applications, ensure data quality, and interact with engineering teams. Implement data quality checks, validation, and cleaning processes.
As a Safety Annotator at Cohere, you will be responsible for improving model safety by labeling, proofreading, and editing machine-written and human-written generations, especially in sensitive content areas. You will need strong English writing skills, attention to detail, emotional resilience, and experience in Content Moderation and/or Trust and Safety.
As a Senior Data Engineer at Royal Bank of Canada, you will be responsible for analyzing structured and unstructured data, preparing data using Python and SQL, developing data pipelines, and supporting project completion. Must have 3+ years of experience with databases, SQL, and scripting languages. Knowledge of JCL, ServiceNow, and insurance industry is a plus. Full-time position in Mississauga, Canada.
The Senior Digital Lead - Data & Analytics will be responsible for managing the Data & Analytics area for Finance within the Pet Nutrition sector at Mars, Inc. This role will involve overseeing the implementation of SAP S/4Hana and working on data collection, cleaning, analysis, reporting, and presentation for the ERP Digital Transformation program.
As a Marketing Data & Insights Analyst, you will fully immerse yourself in structured problem solving and data analysis, with the goal of developing compelling, synthesized insights and recommendations that support our growth strategy. You will work with cross-functional teams and multiple data sets to monitor trends driving our performance, identifying strategies for improvement, and using data-derived insights to frame key decisions for our leaders. You will use storytelling skills to persuasively communicate your recommendations to leadership and mobilize teams towards execution.
Publicis Canada is seeking a skilled Data Engineer to design, build, and maintain data infrastructure. Responsibilities include developing data pipelines, optimizing data models, ensuring data integrity, and collaborating with stakeholders. Qualifications include a Bachelor's or Master's degree in Computer Science, 1 year of professional experience, strong programming skills, and proficiency in SQL and big data technologies.
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As a Senior Data Engineer at Lyft, you will be responsible for scaling up data processing flow, evolving data models, ensuring data quality and consistency, developing self-service data pipeline management tools, and improving data processing performance. You will work with a passionate team using technologies such as Spark, Hadoop, AWS, Kubernetes, and Apache Airflow.
As a Staff Data Engineer at Fortis Games, you will play a key role in shaping the technical vision and implementation of the data platform. Responsibilities include building and enhancing data infrastructure, ensuring low latency and scalability, driving data quality improvements, and collaborating with cross-functional teams to support business growth.
Senior Data Analyst role at DECA Games, responsible for owning the analytics of games, working closely with stakeholders, and leading BI projects to impact major KPIs. Must have 2-5 years of experience in data analysis, solid SQL knowledge, and experience with visualization tools.
As a Data Engineer at Walmart, you will be responsible for developing and maintaining data pipelines to support data science initiatives. You will work with a mammoth scale of data to create valuable data assets for retail analytics. Collaboration with Data Scientists, Analysts, and business stakeholders to solve complex challenges is crucial for evolving the retail business model.
The Engineering Sr Lead Analyst is responsible for managing a team to drive engineering activities, design and deploy hardware/software, and ensure quality standards are met. The role involves supporting all products within the functional area, strategic partnerships with technology vendors, and providing technical leadership in system design. Qualifications include 10+ years of relevant experience, project management experience, strong communication skills, and ability to work in a matrix environment.
The Data Architect at Momentum Financial Services is responsible for providing business, data, application, and technology consulting and leadership for the Enterprise IT portfolio. They architect, design, and implement data models and services, define data management principles, and work with other architects and database administrators to ensure data integrity and performance.
The Consultant, Data Risk and Reporting at CIBC is responsible for developing and reporting enterprise data risk metrics, progress reporting on data governance implementation, and generating insights for senior leadership.
Manager role within the Cards, Analytics & Insights team at RBC. Responsibilities include analytics advisory services, identifying business trends, and supporting decision-making.
Lead Data Scientist / Applied Statistician with experience in sequential testing.
The Data Platforms and Operations Coordinator will maintain digital interactive campaigns for assigned agency clients, optimize campaign set-up, operate as a key internal contact for client campaigns, handle multiple campaigns, collaborate with external Ad Ops Hub, and ensure reconciliation for agency clients.
Manager, Data Engineering responsible for designing, developing, and maintaining data infrastructure, leading data strategy, team leadership, and ensuring security and compliance measures within the organization.
Manager-Data Engineering role responsible for designing, developing, and maintaining data infrastructure to support efficient data management and analytics. Oversees a team of data engineers and builds a data-centric culture within the team. Responsibilities include data modeling, infrastructure design, data strategy, team leadership and development, security and compliance, and tool selection and evaluation.
Looking for a Data Analyst to join the Product Analytics team in Toronto. Responsibilities include supporting various teams with data analysis, reporting, and developing tools for tracking key metrics. Requires 1-2 years of experience and proficiency in Python and SQL.
Seeking a Staff Data Engineer to provide technical leadership, drive the architecture of data handling, mentor engineering teams, and translate business concerns into technical solutions. Must have 8+ years of experience, expertise in data management practices, and experience with secure data and SaaS products in an Agile environment.
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