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Added 27 days ago
Experienced Groundwater Modeller
WSP in Canada
Whitehorse, YT
Full-time
Experience with Python, scripting, database management, or advanced analytical workflows is considered an asset.
Added 27 days ago
Experienced Groundwater Modeller
WSP in Canada
Vancouver, BC
Full-time
Experience with Python, scripting, database management, or advanced analytical workflows is considered an asset.
Added 27 days ago
Experienced Groundwater Modeller
WSP in Canada
Whitehorse, YT
Full-time
Experience with Python, scripting, database management, or advanced analytical workflows is considered an asset.
Added 27 days ago
Experienced Groundwater Modeller
WSP in Canada
Langley (District), BC · City of Langley, BC
Full-time
Experience with Python, scripting, database management, or advanced analytical workflows is considered an asset.
Added 27 days ago
Experienced Groundwater Modeller
WSP in Canada
Vancouver, BC
Full-time
Experience with Python, scripting, database management, or advanced analytical workflows is considered an asset.
Added 27 days ago
Experienced Groundwater Modeller
WSP in Canada
Victoria, BC
Full-time
Experience with Python, scripting, database management, or advanced analytical workflows is considered an asset.
Added 27 days ago
Experienced Groundwater Modeller
WSP in Canada
Kelowna, BC
Full-time
Experience with Python, scripting, database management, or advanced analytical workflows is considered an asset.
Added 27 days ago
Experienced Groundwater Modeller
WSP in Canada
Langley (District), BC · City of Langley, BC
Full-time
Experience with Python, scripting, database management, or advanced analytical workflows is considered an asset.
Added 27 days ago
Experienced Groundwater Modeller
WSP in Canada
Victoria, BC
Full-time
Experience with Python, scripting, database management, or advanced analytical workflows is considered an asset.
Added 27 days ago
Experienced Groundwater Modeller
WSP in Canada
Kelowna, BC
Full-time
Experience with Python, scripting, database management, or advanced analytical workflows is considered an asset.
Added 27 days ago
Spécialiste en tests logiciels / Software Test Specialist - Mobile & Web Apps
Genetec
Montreal, QC
Full-time
Connaissance des langages de script tels que PowerShell, JavaScript ou Python
Added 27 days ago
Full Stack Java + Angular Engineer
Synechron
Montreal, QC
Full-time
Expérience avec Python ou un langage de script similaire.
Added 27 days ago
Data Engineer
Synechron
Montreal, QC
Full-time
Added 27 days ago
Senior Computer Vision Engineer
Musashi AI North America
Waterloo, ON
Full-time
Proficiency in one or more programming languages: Python, C, C++, OpenCV, CUDA.
Added 27 days ago
Data Engineer/Developer with Python and SQL
TechDoQuest
Mississauga, ON
Full-time
Design, develop, and implement new ETL (Extract, Transform, Load) jobs using Python and/or Spark to support various data initiatives.
Added 1 month ago
Lead Machine Learning Engineer - AI Innovation Teams
Fitch Ratings
Toronto, ON
Full-time
Added 25 days ago
Senior Manager, Data Product Management - Bilingual English/Spanish
Scotiabank
Toronto, ON
Experience with data management tools and query languages (e.g., SQL, Python)
Added 25 days ago
Senior Data Engineer, AI & Agents
Appnovation Technologies
Toronto, ON
Foundations: Python; YAML data contracts; Apache Iceberg; Git and CI/CD.
Added 25 days ago
System Integration & Test, Intermediate
General Dynamics Missions System International
Calgary, AB
Full-time
…bearers, voice and data networks, and various automation tools (Python, Squish, Robot Framework), troubleshooting tools (Wireshark, VCCI, CORE) and simulation tools…
Added 25 days ago
Associate Director - Lead Data Modeler/Analyst
Royal Bank of Canada
Toronto, ON
Full-time
Advanced SQL and Python skills for data analysis, profiling, and transformation
Added 25 days ago
Co-op January 2027 - Systems Integration, Verification, and Validation - 8-12 months
General Dynamics Missions System International
Calgary, AB
Internship
Experience with scripting or programming languages such as Python, PowerShell, or Java.
Added 25 days ago
Co-op Winter 2027 - Software Engineering - 4-8 months
General Dynamics Missions System International
Ottawa, ON
Internship
Develop, maintain, and document software in languages such as C++, C, Java, and Python.
Added 25 days ago
Co-op Winter 2027 - Systems Integration, Verification, and Validation - 8-12 months
General Dynamics Missions System International
Ottawa, ON
Internship
Experience with scripting or programming languages such as Python, PowerShell, or Java.
Added 25 days ago
Optical Test Automation Co-op/Intern
Nokia
Ottawa, ON
Full-time
Develop and maintain Python-based automation tools for test execution, data collection, and reporting.
Added 25 days ago
Senior Data Engineer / Ingénieur(e) de données senior
Flinks
Remote, Canada
Full-time · Remote
Technical Foundation: Expert SQL and strong Python skills, with the ability to build scalable, maintainable, and well-tested data solutions that support both operational and analytical…

Appnovation Technologies

Senior Data Engineer, AI & Agents

Toronto, ON, Canada

Posting language: English
Posted: Sep 4, 2026

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Original job description

About us

Appnovation is a global, full-service digital partner that combines Strategy, Experience & Design, Engineering and Managed Services. We build digital solutions that deliver real impact today and serve as foundations for future growth. Bold ambition. Practical action. Endless possibilities.

As a Senior Data Engineer, AI & Agents, you will prepare enterprise domain data for consumption by AI agents, partnering directly with business stakeholders and subject-matter experts. The role centers on building and registering domain-grounded data agents over governed datasets, performing lakehouse migrations, and onboarding new data domains - including commercial, finance, research and development, and real-world data - onto the enterprise data platform. You will operate across Databricks and Snowflake, converting source tables to open formats and generating the catalogue metadata that powers downstream automation and data-contract workflows, all while ensuring high data quality, governed access, and reliable agent-based access to trusted data. The ideal candidate brings deep, hands-on data engineering expertise, strong governance instincts, and excellent stakeholder-facing skills.

Key Responsibilities

Build and register domain data agents at scale over governed tables across Databricks and Snowflake.
Perform lakehouse migrations, including converting source tables to open formats (e.g., Apache Iceberg) to enable agent-based access.
Generate and curate catalogue metadata that feeds downstream automation and data-contract workflows.
Partner with business stakeholders and subject-matter experts through iterative build, test, and validation cycles.

Qualifications

Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, or a related field.
5+ years of professional experience in data engineering, with significant hands-on experience across modern data warehousing and lakehouse platforms (Databricks and Snowflake preferred).
Strong data engineering background with genuine, hands-on fluency across both Databricks and Snowflake.
Demonstrated experience building data agents or query interfaces over governed datasets (e.g., Snowflake Cortex or Genie).
Advanced SQL together with Spark / PySpark, and experience with pipeline orchestration (dbt, Apache Airflow, or Databricks Workflows).
Experience implementing data quality, observability, and lineage, and applying governance controls such as masking and row- and column-level security.
Excellent stakeholder-facing skills, with a track record of translating business requirements into delivered data assets.

Preferred Skills

Familiarity with MCP-based data exposure and with embeddings or vector search for retrieval-augmented use cases.
Experience with AWS and S3, in anticipation of onboarding native cloud data sources.
Experience with regulated life-sciences data domains (clinical, commercial, or real-world data).

Technical Experience

Data platforms: Databricks, Snowflake (Cortex, Genie); AWS and S3.
Pipelines and modelling: SQL, PySpark, dbt, Airflow / Databricks Workflows.
Governance and catalogue: Unity Catalogue, Horizon, Collibra.
AI and agents: MCP; vector databases and embeddings.
Foundations: Python; YAML data contracts; Apache Iceberg; Git and CI/CD.

Who you are

Agent-Oriented Builder: You enjoy turning governed datasets into reliable, domain-grounded agents that business users can query with confidence.
Quality-Focused: You are rigorous about data accuracy, lineage, and observability, ensuring high standards through validation before data reaches agents or the business.
Collaborative Partner: You thrive working directly with stakeholders and subject-matter experts through iterative build, test, and validation cycles.
Governance-Minded: You understand the critical nature of data security in regulated domains and proactively apply masking and row- and column-level controls.
Forward-Thinking: You are interested in the “big picture” of lakehouse architecture and open formats, eager to advance agent-based access patterns and best practices.

What Appnovation Offers

Challenging and rewarding work with real impact
Direct Access to Cutting-Edge AI Platforms
Diverse and Inclusive Culture
Growth opportunities for personal and professional development
A collaborative and innovative work environment where your ideas are valued
Exposure to exciting projects and high-profile clients
Supportive work environment with access to company leaders
Hybrid working model

Thank you for your interest in a career with Appnovation Technologies! Please note that only those selected for an interview will be contacted.

At Appnovation, we recognize that diverse teams are the strongest teams. Diversity, Equity & Inclusion is not only something that we embrace - we celebrate it! We are proud to be an Equal Opportunity Employer and we encourage applicants from all backgrounds, lived experiences and industries to apply. Come join us at Appnovation, and learn more about how we stay true to our company values as we build better lives through better digital.

Accommodations are available upon request throughout the recruitment process.

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More about this job

Responsibilities

You will build and register domain-grounded data agents over governed datasets while performing lakehouse migrations. You will also partner with business stakeholders to curate catalogue metadata and ensure reliable, high-quality data access.

Requirements

The role requires a Bachelor’s or Master’s degree in a technical field and at least 5 years of professional experience in data engineering. Candidates must demonstrate hands-on fluency with Databricks, Snowflake, and modern data pipeline orchestration tools.

Skills

Data Engineering
Databricks
Snowflake
PySpark
SQL
Apache Iceberg
Data Governance
Data Modeling
Pipeline Orchestration
dbt
Apache Airflow
Data Quality
Data Lineage
Vector Search
Cloud Platforms
AI Agents

Benefits

Challenging and rewarding work
Direct access to cutting-edge AI platforms
Diverse and inclusive culture
Growth opportunities
Collaborative and innovative work environment
Hybrid working model

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
AI Agents
Databricks
Snowflake
Lakehouse
Apache Iceberg
SQL
PySpark
dbt
Apache Airflow
Data Governance
Unity Catalogue
Collibra
Vector Databases
Embeddings
AWS
S3
Data Quality
Data Lineage
CI/CD
YAML
Python
Cloud Computing
Data Contracts
Life Sciences
Automation
Metadata
Retrieval-Augmented Generation
Data Warehousing
Stakeholder Management

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