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Vooban

Custom AI solutions for digital transformation

Senior Data Engineer

Data EngineeringConfirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • Has 3 to 5 years of experience in data engineering or business intelligence development.
  • Must have experience with Snowflake, Databricks, or Google Cloud Platform.
  • Must be proficient in SQL and comfortable using Python (PySpark) to manipulate and transform data.
  • Must be comfortable with Git/GitLab, CI/CD, and a structured versioning approach.
  • Must understand the importance of testing and validation, including dbt tests, unit tests, and quality assurance.
  • Must understand how data flows and informs decisions.

Responsibilities

  • Design, develop, and maintain robust, scalable data pipelines.
  • Integrate data from various sources, including APIs, databases, files, and Kafka.
  • Collaborate with AI, operations research, and business intelligence teams to supply their models and reports.
  • Serve as a reference for internal data structure, provenance, and uses.
  • Test data quality and validate results to ensure solution reliability.
  • Version, document, review, and deploy code using Git/GitLab, branches, merge requests, and CI/CD.
  • Contribute to putting pipelines into production with the Tech Leads.
  • Integrate AI tools into daily work to increase impact and efficiency.

Desired Qualifications

  • Knowledge of Microsoft Fabric may be useful for some assignments but is not required.
  • Knowledge of dbt, or ability to learn it quickly.

About the Company

Vooban

Custom AI solutions for digital transformation

Vooban provides end-to-end, project-based AI-enabled digital transformation services for medium to large enterprises, integrating AI, data engineering, and software development. It does not build its own AI models; instead it selects commercially available models and customizes them for clients. The company differentiates itself through turnkey project delivery, practical integration of off-the-shelf AI models, cross-industry expertise, and a strong focus on ROI supported by partnerships and acquisitions. Its goal is to accelerate clients' digital transformation and raise operational efficiency across industries in North America.

Company size
201-500
Company stage
Not listed
Total funding
Not listed
Headquarters
Quebec City, Canada
Founded
2011

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