Senior Data Engineer, AI & Agents

Appnovation
São Paulo, Toronto
Workplace: HybridContractFunction: Data Science & Machine LearningExperience: 5+ yearsEducation: mastersSkills: ["Stakeholder-facing collaboration","Iterative build/test/validation","Data quality focus","Governance mindset","Translating requirements into delivered data assets"]

Build and register domain-grounded AI agents over governed enterprise datasets across Databricks and Snowflake. Own lakehouse migrations to open formats (e.g., Apache Iceberg), convert source tables for agent-based access, and generate catalogue metadata that powers downstream automation and data-contract workflows. Partner with business stakeholders and subject-matter experts through iterative build, test, and validation—while ensuring high data quality, lineage, governed access, and reliable agent-based access to trusted data.

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FursaFursa
Appnovation
Appnovation
3 days ago

Senior Data Engineer, AI & Agents

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 22 hours agoStatus: Live

Job Summary

Build and register domain-grounded AI agents over governed enterprise datasets across Databricks and Snowflake. Own lakehouse migrations to open formats (e.g., Apache Iceberg), convert source tables for agent-based access, and generate catalogue metadata that powers downstream automation and data-contract workflows. Partner with business stakeholders and subject-matter experts through iterative build, test, and validation—while ensuring high data quality, lineage, governed access, and reliable agent-based access to trusted data.
Location: São Paulo, Toronto
Workplace: Hybrid
Employment Type: Contract
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Build and register domain data agents at scale over governed tables across Databricks and Snowflake.
  • •Perform lakehouse migrations, converting source tables to open formats (e.g., Apache Iceberg) for 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.
  • •Ensure high data quality, governed access, lineage, and reliable agent-based access to trusted data.

Key Requirements

  • •Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, or a related field.
  • •5+ years of data engineering experience with hands-on modern data warehousing and lakehouse platforms (Databricks and Snowflake preferred).
  • •Strong hands-on fluency across both Databricks and Snowflake.
  • •Advanced SQL with Spark/PySpark, plus pipeline orchestration experience (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.
Experience:5+ years
Education:Master's
Skills:Stakeholder-facing collaborationIterative build/test/validationData quality focusGovernance mindsetTranslating requirements into delivered data assets
Languages:English
Tech Stack:DatabricksSnowflakeCortexGenieAWSS3SQLPySparkSparkDbtApache AirflowDatabricks WorkflowsUnity CatalogueHorizonCollibraMCPVector databasesEmbeddingsPythonYAML

Company Brief

Appnovation
Provides digital transformation, design, and engineering services, helping enterprises build customer experiences, digital platforms, and integrations using open-source and cloud technologies across industries.
Industry: Consulting
Company Size: Enterprise (1,001+ employees)
Growth: Established Company
Funding: Bootstrapped
Headquarters: Vancouver, Canada
Founded: 2007
WebsiteLinkedIn