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Added 1 month ago
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Associate Data Engineer
Punt
Vancouver, BC
- $70,000 to $90,000 CAD / year
- Full-time
Above all, we value strong SQL fundamentals, working Python proficiency, and the instinct to double-check your output for correctness before someone else has to.
Added 1 month ago
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Staff AI Engineer
Robots & Pencils
Canada
- Full-time
Build and maintain backend services using Python and Node.js, including serverless architectures (e.g., AWS Lambda, API Gateway)
Added 1 month ago
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ML Ops Engineer
Ampstek
Concord, ON
- Contract
Strong proficiency in Python, SQL, and ML libraries (e.g., scikit-learn, XGBoost, TensorFlow, PyTorch).
Added 25 days ago
NS
Intermediate / Senior Test Engineer
Netskrt Systems Inc.
BC
- $90,000 to $120,000 CAD / year
- Full-time
Netskrt is looking for a talented, results-driven Intermediate/Senior Test Engineer to join the Netskrt team. We are a highly motivated team dedicated to delivering products and services…
Added 26 days ago
Software Engineer (Full Stack)
Synpulse
Toronto, ON
We seek a skilled and experienced Software Engineer (mid-level) to join our dynamic team. You will play a pivotal role in the design, development, and implementation of software solutions…
Added 26 days ago
Intermediate Machine Learning Engineer
Aviva
Markham, ON
We are looking for a talented and motivated Intermediate Machine Learning Engineer to join our AI/ML Operations & Platform team. The ideal candidate will have hands-on experience in…
Added 1 month ago
ES
Senior Application Engineer
EPAM Systems
Canada
- Full-time
We are seeking a highly skilled Senior Application Engineer with deep T-SQL expertise to join the Liquid Credit Engineering Team, a key division within our broader Investment Systems…
Added 26 days ago
Administrateur·rice de bases de données/ Database Administrator (Cloud)
TouchTunes
Montreal, QC
…solide expertise en services de bases de données infonuagiques AWS et en ingénierie des plateformes de…
Added 1 month ago
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Senior Full Stack Engineer (Application + Data)
Article
Vancouver, BC
- $165,000 to $175,000 CAD / year
- Full-time
Build and maintain data pipelines using Python, SQL, dbt, and Databricks.
Added 1 month ago
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Software Engineer
Fleet Space Technologies
Toronto, ON
- Full-time
Tech stack: Python, Go, TypeScript/JavaScript, SQL, AWS, Docker, GitLab and CI/CD, with 2D and 3D visualisation libraries such as Three.js, WebGL, deck.gl or Plotly.
Added 1 month ago
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Senior Data Engineer / Ingénieur(e) de données senior
Aduna Global
Montreal, QC
- Full-time
Cloud object storage (AWS/Azure), lakehouse/warehouse platform (Databricks/Snowflake or equivalent), Spark, SQL, Python, orchestration (Airflow/Dagster), streaming (Kafka), BI tools (Power…
Added 1 month ago
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Senior Data Engineer
RBC
Vancouver, BC
- Full-time
In this role as a Senior Data Engineer, you will be responsible for development deliverables for the Finance Data Platform. The Platform, leverages Airflow and Databricks and serves as the…
Added 1 month ago
Middle/Senior Forward Deployed Engineer (Python, AI)
Exadel
Canada
Advanced proficiency in Python, along with experience using TypeScript or JavaScript and SQL.
Added 1 month ago
R
Senior Security Engineer (Global Security)
RBC
Vancouver, BC · Toronto, ON
- Full-time
5+ years of experience in software development, with a focus on Python, REST APIs, and Containers
Added 1 month ago
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Principal AI Engineer
PointClickCare
Mississauga, ON
- $191,700 to $213,000 CAD / year
- Full-time
PointClickCare is searching for a Principal AI Engineer who will lead and design AI systems across multiple SaaS solutions following our AI Design Patterns, defining technical standards and…
Added 1 month ago
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Senior Data Engineer - Snowflake - Contract
Propel
Canada
- Contract
We are looking for a Snowflake Data Engineer to help build and maintain their cloud data warehouse and pipelines. This is a hands on role that involves taking ownership of moderately…
Added 1 month ago
Principal Development Architect
SAP
Montreal, QC
Advanced experience in one or more of those technologies: Java or Node, Python, package managers, REST APIs, Unit Tests, Databases, at least one Cloud Platform (SAP BTP, AWS, GCP, Azure),…
Added 1 month ago
Senior Data Engineer, AI & Agents
Appnovation Technologies
Toronto, ON
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…
Added 1 month ago
RB
Senior Data Engineer
Royal Bank of Canada
Vancouver, BC
- Full-time
In this role as a Senior Data Engineer, you will be responsible for development deliverables for the Finance Data Platform. The Platform, leverages Airflow and Databricks and serves as the…
Added 1 month ago
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Staff Software Engineer
Verily
Toronto, ON · Waterloo, ON
- Full-time
Demonstrated experience with Go, Java, Python, and/or SQL.
Added 1 month ago
Senior, AI & Data Science
Artefact
Montreal, QC
Proficiency in Python (scikit-learn, XGBoost; PyTorch a strong plus) and solid SQL.
Added 1 month ago
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Sr Data Engineer, Specialist
Vanguard
Toronto, ON
- Full-time
We are looking for a Sr Data Engineer with in-depth expertise in AWS, Databricks, and modern data
Added 1 month ago
Senior Software Engineer
Fleet Space Technologies
Toronto, ON
Tech stack: AWS, Python and/or Go, SQL, Docker, infrastructure as code, GitLab and CI/CD, REST, OpenAPI, GraphQL and gRPC.
Added 1 month ago
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IT Software Engineer - Microsoft Tools Team
Nelnet
Mississauga, ON · CAN - MISSISSAUGA
- Full-time
Nelnet is a diversified and innovative company committed to enriching lives through the power of service as a student loan servicer, professional services company, consumer loan originator…
Added 1 month ago
SAP iXp Intern - CX Cloud Operation, Platform Developer (AIOps)
SAP
Montreal, QC
At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique…

Appnovation Technologies

Senior Data Engineer, AI & Agents

Toronto, ON, Canada

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Job details

Posting language: English
Posted: Sep 4, 2026

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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