Toronto, On Data warehouse engineer Jobs – 135 Openings This Week

Data Engineer (Team Lead)
Apertera —Toronto, ON
- Full-time
- Hybrid work
- DevOps
- Databases
- SQL
- Dental care
- Vision care
Quick apply
8h
Lead Data Engineer
Royal Bank of Canada —Toronto, ON
- Full-time
- DevOps
- SQL
- JavaScript
4h
QA Developer
Dentalcorp Health Services LTD. —Toronto, ON
- $65,000–$80,000 a year
- Full-time
- Computer Science
- Databases
- SQL
Quick apply
Field Application Engineer (Technical Sales)
Toyota Automated Logistics Americas LLC —Mississauga, ON
- $85,000–$120,000 a year
- Microsoft Powerpoint
- AutoCAD
- Sales
- Designated paid holidays
- Dental care
Scada Engineer
RRC INTERNATIONAL LLC —Richmond Hill, ON
- $80,000–$95,000 a year
- Full-time
- Computer Science
- Schematics
- Engineering
- Dental care
- Tuition reimbursement
Quick apply
Azure Data Consultant, Senior Associate
Pwc Canada —Toronto, ON
- $84,700–$134,700 a year
- Full-time
- Azure
- Computer Science
- Engineering
Supply Chain Lead
Micromart —Toronto, ON
- Hybrid work
- ERP systems
- Travel
- Dental care
- Vision care
13d
Full-Stack Data Platform Engineer
Reflow —Toronto, ON
- Full-time
- Remote
- SQL
- APIs
- Python
Quick apply
AI and Data - Data Architect (Snowflake)
EY —Toronto, ON
- $99,500–$160,000 a year
- Azure
- Computer Science
- Engineering
- Dental care
Sr. GCP Data Engineer (Health Care Background Must)
Recutify Inc. —Toronto, ON
- Full-time
- Remote
- Oracle
- ERP systems
- SQL
Quick apply
Senior Specialist - Data Engineering
LTM —Toronto, ON
- $100,000–$110,000 a year
- Oracle
- Analysis skills
- Presentation skills
- Disability insurance
- Dental care
Quick apply
Director, Growth Engineering
Scribd, Inc. —Toronto, ON
- $196,500–$318,000 a year
- Full-time
- Business
- Disability insurance
- Dental care
Quality Assurance Engineer
Curinos Inc —Toronto, ON
- $100,000–$110,000 a year
- Full-time
- Remote
- CAD
- DevOps
- SQL
- Paid time off
- Employee assistance program
Quick apply
Principal Software Engineer
ContactMonkey —Toronto, ON
- Hybrid work
- Microsoft Outlook
- SQL
- AWS
Data Designer III
TD Bank —Toronto, ON
- $91,200–$136,800 a year
- Full-time
- Bachelor's
- Paid time off
Lead Database Developer, GFT
Royal Bank of Canada —Toronto, ON
- Full-time
- Azure
- Databases
- SQL
Senior Microsoft Azure and Databricks Architect
Adastra Corporation —Markham, ON
- Full-time
- Hybrid work
- Azure
- Financial services
- Analytics
D365 F&O Application Engineer, Supply Chain & Merchandising
Team Town Sports —Vaughan, ON
- $110,000–$130,000 a year
- Full-time
- Azure
- Computer Science
- DevOps
- Dental care
- Vision care
D365 F&O Application Engineer, Supply Chain & Merchandising
Golf Town —Vaughan, ON
- $110,000–$130,000 a year
- Full-time
- Azure
- Computer Science
- DevOps
- Dental care
- Vision care
Presales Engineer
Data Mavericks —Toronto, ON
- Full-time
- Computer Science
- Sales
- Engineering

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Data Engineer (Team Lead)

Apertera
Toronto, ON

Quick apply

Job details

Full-time
8 hours ago

Qualifications

Law
React
Multilingual
DevOps
Databases
SQL
AWS
Transportation management systems
Machine learning
ISO 27001
S3
Metadata
AI
Python
High availability

Full job description

About Apertera

Apertera is leading the evolution of language solutions for high-stakes content. We partner with enterprises as an extension of their teams, combining professional expertise with Adaptive AI technology that is continuously refined by client context.

For more than twenty years, Apertera has set the bar for legal, financial, and regulatory translation, serving the most rigorous buyers, including over 75% of major national Canadian law firms, all major banks, and leading securities regulators.
Apertera is Canadian-owned, ISO 17100 and SOC 2 certified.

Our core values:

Innovation
Dedication
Fanatical commitment to quality and service
Resourcefulness
Collaboration

Role Overview

As the Data Engineering Team Lead, you will be the technical lead and people manager for a specialized team at the intersection of Big Data, Global Communications, and Generative AI. You will oversee the development of our enterprise Data Warehouse, ensuring that our language assets (TMs, Glossaries, and Metadata) are structured, searchable, and optimized for human translators, machine translation searches and machine learning models.

Beyond traditional data engineering, you will collaborate with multiple teams on the design of the platform interface and the indexing strategies that power our next-generation localization workflows. Your unique value lies in bridging the gap between high-level data architecture, the nuanced translation domain, and the emerging requirements of Retrieval-Augmented Generation (RAG).

Key Responsibilities

1. Data Strategy & Warehousing

Architecture: Define the roadmap for our data warehouse, ensuring high availability and performance for massive multilingual datasets.
Data Cataloging & Governance: Implement robust cataloging solutions to ensure data lineage and "discoverability" across the organization.
Interface Development: Lead the creation of a user-centric interface that allows stakeholders to interact with, query, and extract data from the platform.

2. Translation & Localization Domain

Linguistic Asset Management: Manage the lifecycle of Translation Memories (TMs) and Terminology Databases.
Systems Expertise: Optimize integrations between our data platform and CAT tools and TMS systems (e.g., Phrase, Trados, MemoQ).
Domain Integration: Ensure data pipelines respect the nuances of translation metadata, XLIFF structures, and regional variants.

3. ML & GenAI Integration

RAG & Indexation: Oversee the creation and maintenance of Vector Databases and semantic search indexes to support Retrieval-Augmented Generation for automated translation and content creation.
Data Preparation for LLMs: Architect pipelines that clean, chunk, and format localization data for fine-tuning or prompting Large Language Models (LLMs).
Quality & Evaluation: Support the implementation of automated quality estimation (QE) and LLM-based evaluation metrics for translated content.

4. Leadership & Mentorship

Team Management: Lead a cross functional team of Linguists, Software Developers, Devops and Localization Engineers, providing technical guidance and mentorship.
Cross-functional Collaboration: Act as the liaison between Data, Localization, and AI/ML Research teams.

Required Qualifications

Experience: 5+ years in Data Engineering, with at least 2 years in a leadership or senior capacity.
Technical Stack: Proficiency in SQL, Python, ETL Pipelines, and cloud data platforms (e.g., AWS S3 Data Lakes, AWS Athena, AWS Redshift, AWS Glue).
AI/ML Fundamentals: Solid understanding of the GenAI lifecycle, specifically regarding how data is indexed for RAG (e.g., Pinecone, Milvus, or Qdrant).
Domain Knowledge: Understanding of the localization industry, including experience with TMX, TBX, and CAT tool workflows.
Product Mindset: Experience building and deploying production ready internal tools or interfaces (e.g., Streamlit, React) to democratize data access.

Preferred Skills

Familiarity with embedding models and semantic similarity scoring.
Knowledge of Data Privacy (ISO 27001, GDPR) specifically regarding PII in linguistic datasets.

Benefits & Perks You’ll Love:

Comprehensive Health Insurance: Including vision, dental, complementary therapies, and support for your overall well-being.
Your Birthday Off: We celebrate your special day!
6 Personal/Sick Days: Take the time you need for your health or life’s unexpected moments.
Work-Ready Equipment: Get the tools you need to succeed, provided upon request.
Hybrid Work Model: Enjoy the best of both worlds with a mix of in-office collaboration and remote flexibility.
Learning & Growth Opportunities: Training and resources tailored to your role and department.
Supportive & Collaborative Team Culture: Work alongside team members who genuinely have your back
Team Recognition & Action Awards: Celebrate wins and contributions in meaningful ways.
Employee Referral Program: Earn rewards for bringing amazing talent to our team.

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Refine Your Search

data warehouse engineer jobs in toronto, on

Data Engineer (Team Lead)

Lead Data Engineer

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AI and Data - Data Architect (Snowflake)

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Presales Engineer

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Role Overview

Key Responsibilities

1. Data Strategy & Warehousing

2. Translation & Localization Domain

3. ML & GenAI Integration

4. Leadership & Mentorship

Required Qualifications

Preferred Skills

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