Jobs in Canada

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Added 13 hours ago
RC
Senior Data Scientist
Randstad Canada
Toronto, ON
- Contract
Assignment Type: Onsite (5 days per week)
Added 13 hours ago
Analytics Engineer (dbt)
Tucows Inc.
Canada
Programming: Proficient in Python for data analysis and manipulation (pandas, NumPy, etc.), with the ability to write clean, efficient code. Experienced with shell scripting and…
Added 13 hours ago
RC
Software Developers – Telemetry and Observability Platform
Randstad Canada
Kanata, ON
- $55.42 to $103.91 CAD / hour
- Contract
Operating on a Hybrid schedule (4 days per week in office), we are actively recruiting for:
Added 13 hours ago
RC
Systems Engineers – End-to-End Software Diagnostics and Observability
Randstad Canada
Kanata, ON
- $72.73 to $96.98 CAD / hour
- Contract
Modern AI & Cloud Tech Stack: Gain practical experience with Python, GCP, Vertex AI, BigQuery, Docker, LangChain, and enterprise observability tools (Dynatrace, Grafana).
Added 13 hours ago
Data Scientist/Data Engineer
hireVouch
Toronto, ON
Our client is a global real estate investor, developer, and manager connects people to exceptional places across the office, logistics, residential, and retail sectors, operating an elite…
Added 13 hours ago
RC
Senior Software Engineer - Python or Go, Data, Hybrid
Randstad Canada
Toronto, ON
- $117,000 to $160,000 CAD / year
- Full-time
This is a fulltime permanent position and hybrid in Toronto, 2 days per week onsite
Added 13 hours ago
Senior Full Stack Developer
Blurb
Calgary, AB
We are a nimble, execution obsessed team of engineers who thrive on solving real business problems with smart, scalable solutions. Engineering at Blurb is about building the backbone that…
Added 13 hours ago
A
Data Science & AI Delivery Lead
AXIS
Halifax, NS
- Full-time
Enable decisions to be made with confidence, based on information not just intuition.
Added 13 hours ago
HT
Senior AI Research Engineer
Huawei Technologies Canada Co., Ltd.
Vancouver, BC
- Full-time
- On-site
Industry work experience in CG related field over 3 years with hands-on development.
Added 13 hours ago
HT
Intern Researcher - Multimodal Learning
Huawei Technologies Canada Co., Ltd.
Montréal, QC
- Internship
- On-site
Strong AI/ML coding skills in Python; experienced with coding in Pytorch.
Added 13 hours ago
HT
Intern Researcher - Agentic AI
Huawei Technologies Canada Co., Ltd.
Montréal, QC
- Internship
- On-site
Strong AI/ML coding skills in Python; experienced with PyTorch.
Added 13 hours ago
HT
Co-op Engineer - Machine Learning and AI Infrastructure
Huawei Technologies Canada Co., Ltd.
Markham, ON
- Internship
- On-site
Founded in 2012, the Noah’s Ark lab has evolved into a prominent research organization with notable achievements in academia and industry. The lab’s mission focuses on advancing artificial…
Added 13 hours ago
HT
Researcher – AI Security
Huawei Technologies Canada Co., Ltd.
Vancouver, BC
- Full-time
- On-site
Partner with malware analysts and security stakeholders to define problem scope, labeling strategy, and evaluation methodology.
Added 13 hours ago
HT
Research Engineer – Multimodal AI & Interaction
Huawei Technologies Canada Co., Ltd.
Markham, ON
- Full-time
- On-site
3+ years relevant research or industry experience (including graduate research), with strong Python (Typescript / Kotlin, C++/Java a plus) and collaboration skills across teams
Added 13 hours ago
AW
Principal, S2 Workforce Strategy and Intelligence Lead
Arctic Wolf Networks, Inc.
Waterloo, ON
- Full-time
The successful candidate will provide executive leadership with a transparent, defensible view of workforce productivity, cost-to-serve, operational efficiency, and return on investment,…
Added 13 hours ago
AM
Diagnostics Software/Hardware Technical Lead
Advanced Micro Devices, Inc
Markham, ON
- Full-time
Platform HW/SW Proficiency: Strong programming background in C/C++ and Python, with a concrete understanding of bare-metal or driver-level programming, registers, firmware interactions, and…
Added 13 hours ago
PG
Senior Associate Data Engineering (Azure/Databricks) Hybrid
Publicis Groupe Holdings B.V
Toronto, ON
- Full-time
…methods, fusing strategy, consulting, and customer experience with agile engineering and problem-solving creativity. United by our core values and our purpose of helping people thrive in…
Added 13 hours ago
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Senior Consultant, ML/AI Engineer, Data & AI
KPMG
Vancouver, BC
- Full-time
…develop skills for the future, and take ownership of your career with support at every stage. Join a firm where your career can make a…
Added 13 hours ago
K
Manager, ML/AI Engineer, Data & AI
KPMG
Toronto, ON · Vancouver, BC
- Full-time
…develop skills for the future, and take ownership of your career with support at every stage. Join a firm where your career can make a…
Added 13 hours ago
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Staff Engineer, Applied AI
Headstart
Toronto, ON
- $265,000 USD / year
- Full-time
- Hybrid
…transparent, weekends are yours, and we don't confuse long hours with good…
Added 13 hours ago
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Senior AI Engineer, Legal - USA Remote
Danaher
London, ON
- Full-time
Production experience with large language models (LLMs), including prompt engineering, fine-tuning, RAG architecture, agent/tool-use development, and evaluation frameworks. Strong…
Added 13 hours ago
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Senior AI Engineer, Legal - Canada Remote
Danaher
London, ON
- Full-time
Production experience with large language models (LLMs), including prompt engineering, fine-tuning, RAG architecture, agent/tool-use development, and evaluation frameworks. Strong…
Added 13 hours ago
Lead Security Analyst - SOAR
Open Text Corporation
Waterloo, ON
…member of our team, you will have the opportunity to partner with the most highly regarded companies in the world, tackle complex issues, and contribute to projects that shape the future of…
Added 13 hours ago
C
DevOps Engineer (ML Infrastructure)
Capgemini
Toronto, ON
- $72,056 to $138,940 CAD / year
…supporting high-volume production workloads. You will work closely with software engineers, platform teams, and infrastructure specialists to deliver highly available services, improve…
Added 13 hours ago
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Site Reliability Consultant
Pythian
Ottawa, ON · BC · Calgary, AB · Edmonton, AB · Saskatoon, SK · Toronto, ON
- $90,000 to $100,000 CAD / year
- Full-time
…each client’s data goals and have built strong partnerships with Google Cloud, AWS, Microsoft, Oracle, SAP, and Snowflake. The powerful combination of our extensive expertise in data and…

Tucows Inc.

Analytics Engineer (dbt)

Canada

The base salary range for this position is $81,990 to $91,100.

Apply on tucows.com About employer

Applications open in a new tab.

Job details

Pay: The base salary range for this position is $81,990 to $91,100.
Experience: Experience: 2+ years of experience in data analytics or a related field, with significant exposure to AI and Machine Learning applications in analytics.
Posting language: English
Posted: Oct 6, 2026

Original job description

Tucows (NASDAQ:TCX, TSX:TC) is possibly the biggest Internet company you’ve never heard of. We started as a simple shareware site in 1993 and have since grown into a stable of businesses: Tucows Domains, Ting Internet and Wavelo.

We embrace a people-first philosophy that is rooted in respect, trust, and flexibility. We believe that whatever works for our employees is what works best for us. It’s also why the majority of our roles are remote-first, meaning you can work from anywhere you can connect to the Internet!

Today, over one thousand people work in over 20 countries to help us make the Internet better. If this sounds exciting to you, join the herd!

About the opportunity

We are seeking an experienced and versatile Analytics Engineer to join our dynamic team. In this role, you will apply your advanced analytics expertise to extract actionable insights from raw data. The ideal candidate will have a strong background in data engineering, analytics, and machine learning, with the ability to drive data-driven decision-making across the organization.

What You Will Be Doing

Data Modeling & Pipelines: Design, develop, and maintain complex data models in our Snowflake data warehouse. Utilize dbt (Data Build Tool) to create efficient data pipelines and transformations for our data platform.
Snowflake Intelligence Integration: Leverage Snowflake Intelligence features (e.g., Cortex Analyst, Cortex Agents, Cortex Search, AISQL) to implement conversational data queries and AI-driven insights directly within our data environment. Develop AI solutions that harness these capabilities to extract valuable business insights.
Advanced SQL & Analysis: Design and build advanced SQL queries to retrieve and manipulate complex data sets. Dive deep into large datasets to uncover patterns, trends, and opportunities that inform strategic decision-making.
Business Intelligence (BI): Develop, maintain, and optimize Looker dashboards and LookML to effectively communicate data insights. Leverage Looker’s conversational analytics and data agent features to enable stakeholders to interact with data using natural language queries.
Cross-Functional Collaboration: Communicate effectively with stakeholders to understand business requirements and deliver data-driven solutions. Identify opportunities for implementing AI/ML/NLP technologies in collaboration with product, engineering, and business teams.
Programming & Automation: Write efficient Python code for data analysis, data processing, and automation of recurring tasks. Skilled in shell scripting and command-line tools to support data workflows and system tasks. Ensure code is well-tested and integrated into automated workflows (e.g., via Airflow job scheduling).
Visualization & Presentation: Create compelling visualizations and presentations to deliver analytical insights and actionable recommendations to senior management and cross-functional teams. Tailor communication of complex analyses to diverse audiences.
Innovation & Best Practices: Stay up-to-date with industry trends, emerging tools, and best practices in data engineering and analytics (with a focus on dbt features, Snowflake’s latest offerings and BI innovations). Develop and implement innovative ideas to continuously improve our analytics stack and practices.

What You Bring

Education: Bachelor’s degree in Computer Science, Statistics, or a related field; Master’s degree preferred.
Experience: 2+ years of experience in data analytics or a related field, with significant exposure to AI and Machine Learning applications in analytics.
SQL Expertise: Advanced SQL skills with experience in writing and optimizing complex queries on large-scale datasets.
dbt Proficiency: Hands-on experience with dbt (Data Build Tool) and its features for building, testing, and documenting data models.
Data Modeling: Expert-level knowledge of data modeling and data warehouse concepts (e.g., star schema, normalization, slowly changing dimensions).
Snowflake & AI Capabilities: Experience with Snowflake’s Data Cloud platform and familiarity with its advanced AI capabilities (Snowflake Intelligence – Cortex Analyst, Cortex Agents, Cortex Search, AISQL, etc.) is highly preferred.
Business Intelligence Tools: Strong skills in Looker data visualization and LookML (including familiarity with Looker’s conversational AI and data agent capabilities) or similar BI tools.
AI Agents & Automation: Experience with AI agents or generative AI tools to optimize workflows and service delivery (such as creating chatbots or automated analytic assistants) is a plus.
Real-Time & Streaming Data: Experience with real-time data processing and streaming technologies (e.g., Kafka, Kinesis, Spark Streaming) for handling continuous data flows.
Programming: Proficient in Python for data analysis and manipulation (pandas, NumPy, etc.), with the ability to write clean, efficient code. Experienced with shell scripting and command-line tools for automating workflows and data processing tasks.
ETL/Orchestration: Familiarity with ETL processes and workflow orchestration tools like Apache Airflow (or similar scheduling tools) for automating data pipelines alongside Docker for local development and testing.
Cloud Platforms: Experience with cloud platforms and services (especially AWS or GCP) for data storage, compute, and deployment.
Version Control & CI/CD: Solid understanding of code versioning (Git) and continuous integration/continuous deployment (CI/CD) processes in a data engineering context.
Agile Methodology: Familiarity with agile development methodologies and ability to work in a fast-paced, iterative environment.
Soft Skills: Excellent communication and presentation skills, with critical thinking and problem-solving abilities. Proven track record of working effectively on cross-functional teams and translating business needs into technical solutions.
Data Governance & Ethics: Experience implementing data governance best practices, ensuring data quality and consistency. Knowledge of data ethics, bias mitigation strategies, and data privacy regulations (e.g., GDPR, CCPA) with a commitment to compliance.

Nice to Have

Community & Open Source: Contributions to open-source projects or active participation in data community initiatives.
AI/ML Skills: Experience with applying Artificial Intelligence/Machine Learning techniques in analytics (e.g., building predictive models for forecasting, churn prediction, fraud detection, etc.). Practical experience deploying models and using MLOps/DataOps practices for lifecycle management.
Statistical Background: Solid foundation in statistics and probability, with ability to apply various modeling techniques and design A/B tests or experiments.
Additional Programming: Knowledge of additional programming or query languages (e.g., R, Scala, Julia, Spark SQL) that can be applied in analytics workflows.
Certifications: Certifications in relevant data technologies or cloud platforms (such as Snowflake, AWS, GCP, or Looker) demonstrating your expertise.

The ideal candidate will be a self-starter with a passion for data and analytics, capable of navigating complex datasets to uncover valuable insights. They should be comfortable working in a fast-paced environment, adapting to new technologies, and driving innovation in our data practices.They should be able to navigate complex data landscapes, uncover meaningful insights, and communicate these findings effectively to both technical and non-technical audiences. The ability to stay current with industry trends and continuously learn new technologies is essential in this role.

This role offers the opportunity to make a significant impact on our organization's data strategy and contribute to critical business decisions through advanced analytics. The successful candidate will play a key role in shaping our data culture and driving the adoption of cutting-edge data technologies and methodologies.

If you are a data enthusiast with a track record of delivering impactful analytics solutions and a desire to push the boundaries of what's possible with data, we want to hear from you!

The base salary range for this position is $81,990 to $91,100. Range shown in $CAD for Canadian residents. Other countries will differ. Range may vary on a number of factors including, but not limited to: location, experience and qualifications. Tucows believes in a total rewards offering that includes fair compensation and generous benefits.

Want to know more about what we stand for? At Tucows we care about protecting the open Internet, narrowing the digital divide, and supporting fairness and equality.

We also know that diversity drives innovation. We are committed to inclusion across race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status or disability status. We celebrate multiple approaches and diverse points of view.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.

We use AI-enabled tools throughout our recruitment process to help us work more efficiently and consistently. These tools support our hiring teams by organizing and reviewing information, while final hiring decisions are always made by people.

Tucows and its subsidiaries participate in the E-verify program for all US employees.

Learn more about Tucows, our businesses, culture and employee benefits on our site here.

Apply on tucows.com About employer

More about this job

Responsibilities

The Analytics Engineer at Tucows will build the company's data models and pipelines, write analysis and automation code, and turn data into dashboards and insights for leaders. They will also work with product and business teams to find where AI can help.

Requirements

Candidates need a bachelor's degree in a technical field, 2+ years in data analytics with some AI exposure, advanced SQL, dbt, Snowflake, Looker, and Python. Cloud, orchestration, Git, and data governance knowledge are also expected.

Skills

dbt
Snowflake
Snowflake Intelligence
Cortex Analyst
Cortex Agents
Cortex Search
AISQL
SQL
Data modeling
Star schema
Slowly changing dimensions
Looker
LookML
Python
pandas
NumPy
Shell scripting
Apache Airflow
Docker
Git
CI/CD
AWS
GCP
Kafka
Kinesis

Benefits

Total rewards offering

Keywords

Analytics Engineer
dbt
Data Build Tool
Snowflake
Snowflake Intelligence
Cortex Analyst
Cortex Agents
Cortex Search
AISQL
Looker
LookML
SQL
Python
Airflow
Docker
Git
CI/CD
AWS
GCP
Kafka

Seniority

Mid level

Tools

dbt
Snowflake
Looker
LookML
Python
Airflow
Docker
Git
Kafka
Kinesis

Languages

English

Fields of study

Computer Science
Statistics

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Work requirements

Jobs in Canada