Data Scientist Jobs, Openings, Vacancies in Canada

Lead Data Engineer at Mastercard

Toronto, Ontario, Canada - Full Time

Skills Needed
Data Engineering, Data Architecture, Data Modeling, Data Pipelines, Python, Scala, Spark, Hadoop, Sql, Machine Learning, Data Analytics, Data Governance, Cloud Platforms, Agile Methodologies, Devops Practices, Problem Solving

Specialization
Candidates should have over 5 years of data engineering experience and expertise in building production-level data applications. Proficiency in Python or Scala, along with experience in cloud platforms and data governance, is essential.

Experience Required
Minimum 5 year(s)

Lead Data Engineer at RBC Global Asset Management

Mississauga, Ontario, Canada - Full Time

Skills Needed
Big Data Management, Cloud Computing, Database Development, Data Mining, Data Warehousing, Etl Processing, Quality Management, Requirements Analysis

Specialization
Candidates must have over 5 years of professional experience in data engineering with advanced proficiency in SQL and Python. Hands-on experience with cloud platforms like AWS, Azure, or Google Cloud is essential.

Experience Required
Minimum 5 year(s)

Lead Data Engineer at Dr Bill RBC Ventures

Toronto, Ontario, Canada - Full Time

Skills Needed
Amazon S3, Aws Ai Services, Cloud Applications, Database Development, Data Warehousing, Etl Processing, Generative Ai, Java, Machine Learning, Microsoft Azure, Microsoft Sql Server, Python, Red Hat Openshift, Snowflake

Specialization
Candidates must have 5+ years of professional experience, including 3+ years in building scalable production APIs/microservices, with strong expertise in GenAI and Machine Learning. Excellent business communication skills and a proven track record in production-level software development are essential.

Experience Required
Minimum 5 year(s)

Lead Data Engineer at Royal Bank of Canada

Toronto, Ontario, Canada - Full Time

Specialization
Candidates must have 5+ years of professional experience, including 3+ years in building scalable production APIs/microservices, with strong expertise in GenAI and Machine Learning. Excellent business communication skills and experience in collaborating with architects to design solutions are also required.

Experience Required
Minimum 5 year(s)

Data Engineer (CA) at Jobgether

, , Canada - Full Time

Skills Needed
Data Engineering, Data Pipelines, Data Modeling, Sql, Python, Cloud Platforms, Aws, Gcp, Machine Learning, Data Validation, Workflow Orchestration, Kafka, Data Transformation, Olap Platforms, Automation, Problem Solving

Specialization
Ideal candidates should have 5+ years of experience delivering data solutions, preferably in payments or fintech. Strong experience with cloud platforms, data modeling, SQL, and proficiency in Python for data processing is required.

Experience Required
Minimum 5 year(s)

Senior Data Analyst at FairPlay Sports Media

, Ontario, Canada - Full Time

Skills Needed
Data Analysis, Insight Generation, Sql, Data Visualisation, Communication, Stakeholder Management, Problem Solving, Python, Cloud Based Data Platforms, Web Analytics, Customer Insights, Advanced Analytics, Data Governance, Dashboard Maintenance, Reporting, Trend Analysis, Cohort Behaviour

Specialization
Candidates should have strong analytical skills with over 4 years of experience in analytics roles and high proficiency in SQL and data visualization tools. Excellent communication and stakeholder management skills are essential, along with a detail-oriented approach to problem-solving.

Experience Required
Minimum 5 year(s)

Master Data Analyst at Exergy Solutions Inc

Calgary, AB, Canada - Full Time

Skills Needed
Sap, Gas Industry, Communication Skills, Excel

Qualification
Graduate

Data Science Intern at Arcadis

Toronto, Ontario, Canada - Full Time

Skills Needed
Data Science, Ai, Machine Learning, Python, Data Preprocessing, Model Basics, Evaluation Metrics, Feature Engineering, Model Deployment, Collaboration, Communication, Adaptability, Emerging Tools, Data Ingestion, Model Performance, Scalable Pipelines

Specialization
Currently enrolled in a Bachelor's or Master's program in a relevant field such as Computer Science or Data Science. A strong interest in data science and AI, along with a basic understanding of machine learning concepts and familiarity with Python is required.

Senior Data Analyst at Ubisoft

Montreal, Quebec, Canada - Full Time

Skills Needed
Data Analysis, Sql, Business Intelligence, Power Bi, Adobe Analytics, Google Analytics, Excel, Data Governance, Kpi Tracking, Data Management, Dashboard Creation, Presentation Skills, Collaboration, Documentation, Python, R

Specialization
Candidates should have 3+ years of experience in an analytical role and advanced skills in SQL and Business Intelligence tools. A bachelor's degree in a technical or quantitative discipline is required.

Experience Required
Minimum 2 year(s)

Senior Data Analyst at Roofr

, , Canada - Full Time

Skills Needed
Data Analysis, Analytics Engineering, Bi Tools, Sql, Cloud Data Warehouses, Dbt, Data Quality, Data Transformation, Data Modeling, Dashboard Creation, Analytical Mindset, Communication Skills, Presentation Skills, Critical Thinking, Customer Experience Improvement

Specialization
Candidates should have 4+ years of experience in data analysis or analytics engineering and be proficient in BI tools and SQL. Strong analytical skills and the ability to work cross-functionally are also required.

Experience Required
Minimum 5 year(s)

Data Analyst intern at Ericsson

Toronto, Ontario, Canada - Full Time

Skills Needed
Data Analysis, Power Bi, Power Automate, Data Cleaning, Data Transformation, Sql, Excel, Power Query, M Language, Automation, Scripting, Communication, Ad Hoc Analysis, Dashboard Building, Workflow Automation, Large Datasets

Specialization
Candidates must be proficient in Microsoft Power Platform and experienced in Excel, including advanced formulas and pivot tables. A minimum GPA of 2.7 and active enrollment in an accredited undergraduate program are required.

Master Data Analyst at Wajax

Quebec, Quebec, Canada - Full Time

Skills Needed
Master Data Management, Pricing Information, Data Maintenance, Analytical Skills, Bilingual, Microsoft Office, Advanced Excel, Microsoft Access, Power Bi, Supply Chain, Lean Methodology, Continuous Improvement, Data Cleansing, Communication Skills, Statistical Analysis, Problem Solving

Specialization
Candidates should have a diploma or technical certificate in Engineering, Mathematics, or Statistical fields, along with 2-3 years of experience in Supply Chain, Pricing, or Operations. Bilingualism in English and French, strong analytical skills, and proficiency in Microsoft Office are also required.

Experience Required
Minimum 2 year(s)

Data Engineer Co-op at FreshBooks

Toronto, ON, Canada - Full Time

Skills Needed
N/A

Qualification
Graduate

Senior Data Analyst at Ada

, , Canada - Full Time

Skills Needed
Sql, Python, Data Modeling, Analytics Engineering, Git, Ci/Cd, Bi Platforms, Cross Functional Collaboration, Analytical Skills, Problem Solving, Communication, Attention To Detail, Saas Experience, Ai Productivity

Specialization
Candidates should have a minimum of 4 years of experience in data analytics or related fields, with strong proficiency in SQL and Python. Experience with data modeling, BI platforms, and cross-functional collaboration is essential.

Experience Required
Minimum 5 year(s)

Applied Machine Learning Scientist II at TD Canada Trust

Toronto, Ontario, Canada - Full Time

Skills Needed
Ai Engineering, Machine Learning, Python, Pytorch, Tensorflow, Hugging Face, Cloud Infrastructure, Azure, Databricks, Kubernetes, Docker, Mlflow, Data Engineering, Apis, Microservice Architecture, System Design

Specialization
Master’s or PhD in a relevant field is required along with 5–8 years of AI or ML engineering experience. Candidates should have deep expertise in Python and ML frameworks, and experience deploying LLMs and multi-agent orchestration at scale.

Experience Required
Minimum 5 year(s)

Principal Applied Scientist, Gaming AI at Microsoft

Vancouver, British Columbia, Canada - Full Time

Skills Needed
Ai, Ml, Python, Tensorflow, Pytorch, C#, Java, C, C++, Data Labeling, Model Optimization, Quantization, Machine Learning Solutions, Data Pipelines, Problem Solving, Critical Thinking

Specialization
Candidates must have a Bachelor's, Master's, or Doctorate in a relevant field with significant experience in AI/ML and coding proficiency in Python. A strong publication record and experience in machine learning solutions and infrastructure are also required.

Experience Required
Minimum 5 year(s)

Senior Data Engineer at Cozey

, , Canada - Full Time

Skills Needed
Data Engineering, Etl, Data Warehousing, Aws, Python, Sql, Data Modeling, Business Intelligence, Data Governance, Data Quality Management, Apache Airflow, Fivetran, Aws Glue, Terraform, Tableau

Specialization
Candidates should have 5+ years of experience in creating and owning a data stack, including data modeling and warehousing. Proficiency in ELT and ETL tools, along with advanced skills in Python and SQL, is required.

Experience Required
Minimum 5 year(s)

[CA HQ] Data Analyst at HelloFresh

Toronto, Ontario, Canada - Full Time

Skills Needed
Data Analysis, Sql, Google Sheets, Excel, Data Visualization, Tableau, Power Bi, Python, Javascript, Communication, Collaboration, Analytical Skills, Problem Solving, Stakeholder Management, Documentation, Automation

Specialization
1–3 years of experience in a data analytics role, ideally within a fast-paced, product-driven or CPG environment. Strong communication and storytelling skills, with the ability to translate complex analyses into clear, actionable business insights.

Experience Required
Minimum 2 year(s)

Senior Data Engineer at Odaia Intelligence Inc.

Toronto, Ontario, Canada - Full Time

Skills Needed
Data Engineering, Aws, Snowflake, Dagster, Airflow, Python, Dbt, Etl, Sql, Data Integration, Apis, Data Models, Data Structures, Cloud Native Architectures, Collaboration, Communication

Specialization
Candidates should have over 5 years of experience in data engineering and strong proficiency in AWS and Python. Familiarity with data integration, CRM systems, and cloud-native architectures is also essential.

Experience Required
Minimum 5 year(s)

Manager Data Science at Dr Bill RBC Ventures

Toronto, Ontario, Canada - Full Time

Skills Needed
Data Science, Data Visualization, Machine Learning, Predictive Analytics, Sql, Python, Business Intelligence, Data Modeling, Analytical Thinking, Automation, Data Quality, Stakeholder Management, Problem Solving, Data Mining, Statistical Analysis, Artificial Intelligence

Specialization
Candidates must have strong technical skills with at least 2 years of experience in data warehousing, programming languages, and business intelligence tools. A passion for data visualization and the ability to manage multiple initiatives in a fast-paced environment are also essential.

Experience Required
Minimum 2 year(s)

Lead Data Engineer at Mastercard

Toronto, Ontario, Canada -

Full Time

Start Date

Immediate

Expiry Date

01 Mar, 26

Salary

0.0

Posted On

01 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Data Architecture, Data Modeling, Data Pipelines, Python, Scala, Spark, Hadoop, SQL, Machine Learning, Data Analytics, Data Governance, Cloud Platforms, Agile Methodologies, DevOps Practices, Problem Solving

Industry

IT Services and IT Consulting

Description

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Lead Data Engineer Overview Mastercard is the global technology company behind the world’s fastest payments processing network. We are a vehicle for commerce, a connection to financial systems for the previously excluded, a technology innovation lab, and the home of Priceless®. We ensure every employee has the opportunity to be a part of something bigger and to change lives. We believe as our company grows, so should you. We believe in connecting everyone to endless, priceless possibilities. Our team within Mastercard Mastercard Foundry R&D is looking for a talented Lead Data Engineer to join the Mastercard Foundry Research and Development team. In this role you will be part of a highly agile team building exciting and innovative products delivered at scale to global markets. Our team is built on a foundation of research and development, mining innovation internally, innovating new product lines with emerging technology, managing new products from inception to market validation and engaging strategically with start-ups to shape the future of commerce with and for our customers. At Mastercard you will help define the future of commerce globally. This team will have a diverse focus both in terms of geography and variety of technology challenges driving hard to bring innovative payment solutions and services to market. As a Lead Data Engineer, you will: Provide technical leadership in data architecture, ensuring best practices for data modeling, storage, and retrieval Lead the scoping, design and implementation of complex features including multi-layered data workflows Lead and push the boundaries of analytics and powerful, scalable data workflows and applications Build and maintain data models and data pipelines to enable performant and scalable products Work with multiple sources of data, storage systems, and building processes and pipelines to provide cohesive datasets for analysis and modeling Ensure a high-quality code base by writing and reviewing performant & scalable, well-tested code Collaborate with cross-functional teams to define data requirements and design solutions that align with business objectives Oversee data governance and quality, ensuring data accuracy, consistency, and compliance with industry standards Mentor software engineers & data engineers, establishing data best practices and creating up-skilling opportunities for the team. Drive innovative improvements to team development processes Partner with Product Managers and Customer Experience Designers to develop a deep understanding of users and use cases and apply that knowledge to scoping and building features Collaborate across teams with exceptional peers who are passionate about what they do All about you, 5+ years of data engineering experience in an agile production environment Experience in building and deploying production-level data-driven applications and data processing workflows/pipelines and/or implementing machine learning systems at scale Experience leading the design and implementation of complex features Experience leading a large project and working with other data and software engineers Experience working in enterprise databases and ensure follow industry best practices around data privacy Expertise in using Python or Scala, Spark, Hadoop platforms & tools (Hive, Impala, Airflow, NiFi, Scoop), SQL to build Big Data products & platforms Experience in Java/.net, Scala, or Python technologies and deliver analytics involving all phases like data ingestion, feature engineering, modeling, tuning, evaluating, monitoring, and presenting Knowledge of AI/ML, data analytics, and data product development with emphasis on data quality, data privacy, and localization Experience in anonymizing data, data product development, analytical models, and AI governance Experience working with modern data engineering and analytics platforms, including hands-on expertise in implementing scalable architectures and optimizing data workflows. Experience with cloud platforms for data engineering and machine learning workflows. Effective communication and collaboration skills to work with both technical and non-technical stakeholders Flexible to work with global offices across several time zones Outstanding problem-solving skills and the ability to navigate complex data challenges The following is a plus: Experience with AWS cloud services for data engineering and ML workflows. Hands-on experience with Databricks, including Medallion Architecture and Delta Lake Familiarity with industry best practices for collection and use of data Strong technologist eager to learn new technologies and frameworks Project management skills and a demonstrated ability to understand complex information product constructs Knowledge of Splunk or other alerting and monitoring solutions Experience with agile methodologies, DevOps practices, and CI/CD Be able to engage and drive conversations with customers as needed. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard’s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines. Everyone wants easier ways to pay; we invent them. Checkout lines are slow; we speed them along. Merchants want more sales; we give them data and insights. People need financial access; we connect them. Corporate purchasing is complicated; we make it simple. Commuters are busy; we speed them on their way. Governments need greater efficiencies; we help create them. Small businesses are virtual; we give them access to a world of buyers. Retailers want to fight fraud; we provide the tools.

Responsibilities

As a Lead Data Engineer, you will provide technical leadership in data architecture and lead the design and implementation of complex features. You will collaborate with cross-functional teams to define data requirements and ensure high-quality code and data governance.

Lead Data Engineer at Mastercard

Toronto, Ontario, Canada - Full Time

Experience Required
Minimum 5 year(s)

Lead Data Engineer at RBC Global Asset Management

Mississauga, Ontario, Canada - Full Time

Skills Needed
Big Data Management, Cloud Computing, Database Development, Data Mining, Data Warehousing, Etl Processing, Quality Management, Requirements Analysis

Experience Required
Minimum 5 year(s)

Lead Data Engineer at Dr Bill RBC Ventures

Toronto, Ontario, Canada - Full Time

Experience Required
Minimum 5 year(s)

Lead Data Engineer at Royal Bank of Canada

Toronto, Ontario, Canada - Full Time

Specialization
Candidates must have 5+ years of professional experience, including 3+ years in building scalable production APIs/microservices, with strong expertise in GenAI and Machine Learning. Excellent business communication skills and experience in collaborating with architects to design solutions are also required.

Experience Required
Minimum 5 year(s)

Data Engineer (CA) at Jobgether

, , Canada - Full Time

Experience Required
Minimum 5 year(s)

Senior Data Analyst at FairPlay Sports Media

, Ontario, Canada - Full Time

Experience Required
Minimum 5 year(s)

Master Data Analyst at Exergy Solutions Inc

Calgary, AB, Canada - Full Time

Skills Needed
Sap, Gas Industry, Communication Skills, Excel

Qualification
Graduate

Data Science Intern at Arcadis

Toronto, Ontario, Canada - Full Time

Senior Data Analyst at Ubisoft

Montreal, Quebec, Canada - Full Time

Experience Required
Minimum 2 year(s)

Senior Data Analyst at Roofr

, , Canada - Full Time

Experience Required
Minimum 5 year(s)

Data Analyst intern at Ericsson

Toronto, Ontario, Canada - Full Time

Master Data Analyst at Wajax

Quebec, Quebec, Canada - Full Time

Experience Required
Minimum 2 year(s)

Data Engineer Co-op at FreshBooks

Toronto, ON, Canada - Full Time

Skills Needed
N/A

Qualification
Graduate

Senior Data Analyst at Ada

, , Canada - Full Time

Experience Required
Minimum 5 year(s)

Applied Machine Learning Scientist II at TD Canada Trust

Toronto, Ontario, Canada - Full Time

Experience Required
Minimum 5 year(s)

Principal Applied Scientist, Gaming AI at Microsoft

Vancouver, British Columbia, Canada - Full Time

Skills Needed
Ai, Ml, Python, Tensorflow, Pytorch, C#, Java, C, C++, Data Labeling, Model Optimization, Quantization, Machine Learning Solutions, Data Pipelines, Problem Solving, Critical Thinking

Experience Required
Minimum 5 year(s)

Senior Data Engineer at Cozey

, , Canada - Full Time

Experience Required
Minimum 5 year(s)

[CA HQ] Data Analyst at HelloFresh

Toronto, Ontario, Canada - Full Time

Experience Required
Minimum 2 year(s)

Senior Data Engineer at Odaia Intelligence Inc.

Toronto, Ontario, Canada - Full Time

Skills Needed
Data Engineering, Aws, Snowflake, Dagster, Airflow, Python, Dbt, Etl, Sql, Data Integration, Apis, Data Models, Data Structures, Cloud Native Architectures, Collaboration, Communication

Experience Required
Minimum 5 year(s)

Manager Data Science at Dr Bill RBC Ventures

Toronto, Ontario, Canada - Full Time

Experience Required
Minimum 2 year(s)

Data Scientist Jobs in Canada