Senior Data Engineer, AI & Agents

Appnovation
Toronto, São Paulo
Workplace: HybridFull timeFunction: Data Science & Machine LearningExperience: 5+ yearsSkills: ["Stakeholder-facing communication","Collaboration","Iterative build/test/validation","Data quality focus","Governance mindset"]

Build and register domain-grounded data agents over governed datasets across Databricks and Snowflake. Lead lakehouse migrations by converting data to open formats such as Apache Iceberg, then generate curated catalogue metadata that powers downstream automation and data-contract workflows. Partner with business stakeholders and subject-matter experts through build, test, and validation cycles to deliver trusted, secure, high-quality data access for agent-based experiences.

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FursaFursa
Appnovation
Appnovation
4 days ago

Senior Data Engineer, AI & Agents

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Source: Company careers pageValidated by: Fursa AI
Last checked: 10 hours agoStatus: Live

Job Summary

Build and register domain-grounded data agents over governed datasets across Databricks and Snowflake. Lead lakehouse migrations by converting data to open formats such as Apache Iceberg, then generate curated catalogue metadata that powers downstream automation and data-contract workflows. Partner with business stakeholders and subject-matter experts through build, test, and validation cycles to deliver trusted, secure, high-quality data access for agent-based experiences.
Location: Toronto, São Paulo
Workplace: Hybrid
Employment Type: Full time
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, 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 professional experience in data engineering with hands-on experience in modern data warehousing and lakehouse platforms (Databricks and Snowflake preferred).
  • •Strong, hands-on fluency across Databricks and Snowflake, with experience building data agents or query interfaces over governed datasets (e.g., Snowflake Cortex or Genie).
  • •Advanced SQL with Spark/PySpark, plus pipeline orchestration experience (dbt, Apache Airflow, or Databricks Workflows).
  • •Experience with data quality, observability, lineage, and governance controls such as masking and row- and column-level security.
Experience:5+ yearsData engineeringData warehousingLakehouseAI agentsData governanceRegulated data
Education:
Skills:Stakeholder-facing communicationCollaborationIterative build/test/validationData quality focusGovernance mindset
Languages:English
Tech Stack:DatabricksSnowflakeApache IcebergApache AirflowDbtSparkPySparkSQLUnity CatalogueHorizonCollibraMCPVector databasesEmbeddingsAWSS3PythonYAMLData contractsGit

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