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Bay Street StaffingSource d’offres vérifiée

Data Engineer

Offre en anglais

Build and maintain data pipelines to collect, clean, and transform employee data from multiple HR systems. Load processed data into a central platform for reporting and business use.

  • Hybride
  • Toronto, ON
  • Publié 28 juill. 2026
  • Postuler avant le 11 juill. 2027
  • 1 poste

Résumé du poste

Data Engineer Toronto, ON (hybrid) 6 months (potential for Extension/Conversion to FTE) Line of Business - HR Technology Team Role Summary: In this role, you'll build and maintain data pipelines that collect employee data from multiple HR systems, clean and transform it, and load it into a central data platform for reporting and business use. This is a development-focused role, not a support role, so we're looking for candidates who have personally built Databricks notebooks, ETL pipelines, and SQL-based data solutions, rather than only monitoring or supporting existing environments. You should be able to confidently explain the solutions you've built, the technical decisions you made, and your individual contributions to real projects. Must Have Requirement: 3-5 Years Data Analytics / Developer 3 years Azure Data Bricks Experience working with Azure-based data platforms Nice to Have: Experience with ServiceNow/ Jira Informatica (Not deciding factor) AutoSys Feedhub integration Please apply only if you have hands-on experience building Azure Databricks ETL pipelines — not just supporting or monitoring existing solutions!!

Ce que vous ferez

Build and maintain data pipelines to collect, clean, and transform employee data from multiple HR systems. Load processed data into a central platform for reporting and business use.

Exigences

Requires 3-5 years of experience in data analytics or development with at least 3 years of hands-on Azure Databricks experience. Candidates must have a proven track record of building ETL pipelines rather than just supporting them.

Autres compétences pertinentes

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

  • Azure Databricks
  • ETL Pipelines
  • SQL
  • Data Engineering
  • Azure Data Platforms
  • Data Analytics
  • ServiceNow
  • Jira
  • Informatica
  • AutoSys
  • Feedhub Integration

Domaines d’emploi

  • Data & Analytics
  • Technology
  • Software
  • Engineering
  • Human Resources

Renseignements supplémentaires

Expérience minimale
2+ ans
Postuler avant le
11 juill. 2027
Langue de l’offre
anglais
Heures de travail
40 heures par semaine
Niveau d’expérience
Mid-Senior level
Mode de candidature
La candidature directe est offerte