Jobs in Canada

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Added 18 days ago
GenAI and Python Developer (Hybrid)
Morgan Stanley
Montreal, QC
Full-time
We’re seeking someone to join our team as a GenAI and Python Developer to lead the strategy, architecture, delivery, and evolution of complex technology solutions while driving engineering…
Added 18 days ago
GenAI and Python Developer (Hybrid)
Morgan Stanley
Montreal, QC
Full-time
We’re seeking someone to join our team as a GenAI and Python Developer to lead the strategy, architecture, delivery, and evolution of complex technology solutions while driving engineering…
Added 4 months ago
GenAI Data Engineer
Tiger Analytics Inc.
Remote, Canada
Full-time · Remote
Tune complex SQL queries and Python-based processing jobs to handle petabyte-scale environments efficiently.
Added 1 month ago
Principal Data Scientist (m/f/d)
AutoTrader.ca
Toronto, ON
…championing the team’s evolving role in a rapidly advancing GenAI…
Added 3 months ago
Applied AI Engineer
Nexxa.AI
Remote, Canada
Full-time · Remote
Architect, build, and deploy custom solutions leveraging GenAI, LLMs, Machine Learning and Vision models, and customer data sources.
Added 5 months ago
LLM Serving Engineer (Cloud AI Engineering), Senior / Staff Engineer
Qualcomm
Markham, ON
Full-time
Work at the forefront of GenAI by understanding advanced algorithms (e.g. attention mechanisms, MoEs) and numerics to identify new optimization opportunities.
Added 5 months ago
LLM Serving Engineer (Cloud AI Engineering), Senior / Staff Engineer
Qualcomm
Markham, Ontario
Full-time
Work at the forefront of GenAI by understanding advanced algorithms (e.g. attention mechanisms, MoEs) and numerics to identify new optimization opportunities.

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Tiger Analytics Inc.

GenAI Data Engineer

Remote, Canada

Job type: Full-time
Workplace: Remote
Posting language: English
Posted: May 14, 2026

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Original job description

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best analytics global consulting team in the world.

We are seeking an experienced Data Engineer with expertise in Dataiku to join our data team. As a Data Engineer, you will be responsible for designing, building, and maintaining data pipelines, data integration processes, and data infrastructure. You will collaborate closely with data scientists, analysts, and other stakeholders to ensure efficient data flow and support data-driven decision making across the organization.

Design and implement robust data pipelines that ingest, process, and store unstructured data formats at scale within Snowflake and GCP.
Leverage Snowflake’s unstructured data capabilities (Directory Tables, Scoped URLs, Snowpark) to make "dark data" queryable and actionable.
Build and maintain cloud-native ETL/ELT processes using BigQuery, Cloud Storage, and Dataflow, ensuring seamless integration between GCP and Snowflake.
Instead of just using LLMs, you will integrate AI tools (OCR, NLP entities, Document AI) into the engineering flow to transform unstructured blobs into structured insights.
Tune complex SQL queries and Python-based processing jobs to handle petabyte-scale environments efficiently.

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, challenging, and entrepreneurial environment, with a high degree of individual responsibility.

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More about this job

Responsibilities

The Data Engineer will be responsible for designing, building, and maintaining data pipelines, integration processes, and infrastructure, collaborating with data scientists and analysts to ensure efficient data flow. This includes designing robust pipelines for unstructured data ingestion, processing, and storage within Snowflake and GCP, leveraging advanced capabilities.

Requirements

The role requires an experienced Data Engineer with expertise in Dataiku to build cloud-native ETL/ELT processes using GCP and Snowflake, integrating AI tools to structure insights from unstructured data. Candidates must be able to tune complex SQL and Python jobs for petabyte-scale environments.

Skills

Dataiku
Data Pipelines
Data Integration
Data Infrastructure
Snowflake
GCP
BigQuery
Cloud Storage
Dataflow
ETL/ELT
AI Tools
OCR
NLP Entities
Document AI
SQL
Python

Visa sponsorship

Not detected in the job text

Keywords

GenAI
Data Engineer
Analytics Consulting
Data Science
Machine Learning
AI
Dataiku
Data Pipelines
Data Integration
Data Infrastructure
Snowflake
GCP
Directory Tables
Scoped URLs
Snowpark
Dark Data
Cloud-native
ETL
ELT
BigQuery
Cloud Storage
Dataflow
LLMs
OCR
NLP Entities
Document AI
SQL
Python
Petabyte-scale

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Jobs in Canada

GenAI and Python Developer (Hybrid)

GenAI and Python Developer (Hybrid)

GenAI Data Engineer

Principal Data Scientist (m/f/d)

Applied AI Engineer

LLM Serving Engineer (Cloud AI Engineering), Senior / Staff Engineer

LLM Serving Engineer (Cloud AI Engineering), Senior / Staff Engineer