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. 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. 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 recent 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. Build and register domain data agents at scale over governed tables across Databricks and Snowflake.

Generate and curate catalogue metadata that feeds downstream automation and data‑contract workflows. 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., 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. 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.

AI and agents: MCP; vector databases and embeddings.

Foundations: Python; YAML data contracts; 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.

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Access to Cutting‑Edge AI Platforms Growth opportunities for personal and professional development Exposure to exciting projects and high‑profile clients Diversity, Equity & Inclusion is not only something that we embrace - we celebrate it! 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. #

📌 Senior Data Engineer, Ai & Agents (Toronto)
🏢 Appnovation
📍 Toronto