Publié il y a 17 jours
Senior Data Engineer
@ Michael Page
Winnipeg, Manitoba
En bref
Michael Page is hiring a Senior Data Engineer in Winnipeg for a full-time role in the Industrial / Manufacturing sector. The role designs and supports scalable data pipelines and cloud-based data solutions on Azure, with a focus on data quality, security and operational excellence.
Responsabilités :
- Design and maintain scalable data pipelines
- Build data models and datasets for technology teams
- Monitor data workflows and resolve failures
- Improve data quality and integrations between systems
Résumé des exigences :
- 5+ years as a Data Engineer or similar role
- Proficiency in Python, PySpark and ETL on Microsoft technologies
- Advanced SQL on Azure data services
- Experience with Power BI and CI/CD practices
Outils et compétences
Source et dates
Type de source non vérifié · apify-linkedin
- Date publiée par l’employeur
- 2026-10-28
- Première détection par notre source
- 2026-11-15
- Mise à jour du dossier source
- 2026-11-15
Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.
Détails du poste
| Niveau | Senior |
| Domaine | Développement logiciel |
| Expérience | 5 an(s) et plus |
| Heures par semaine | 40 (estimé) |
| Milieu de travail | Bureau |
| Position | Surtout assis |
| Exigences physiques | physique faible · ordinateur élevé |
| Langues | English |
| Candidatures encouragées | Femmes |
| Formation | Collégial (DEC) (préféré), Baccalauréat (préféré) |
| Domaines d’études | Computer Science, Data Engineering, Information Systems |
Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.
Michael Page
| Champ | Valeur |
|---|---|
| Offres sur Jobsy | 50 |
This Data Engineer role focuses on designing, building, and supporting scalable data pipelines and cloud-based data solutions while ensuring data quality, security, and operational excellence. The successful candidate will collaborate across engineering and operations teams, leverage Azure technologies, and contribute to data-driven decision-making through robust analytics infrastructure.
Client Details
The company operates in the Industrial / Manufacturing industry in Winnipeg.
Description
- Design and maintain scalable data pipelines that collect, transform and store business data.
- Build data models and datasets that make information easier for technology teams to access and use.
- Monitor data workflows, investigate failures and resolve issues to maintain reliable data delivery.
- Improve data quality by identifying incomplete, duplicate or inconsistent information and applying practical fixes.
- Develop and maintain data integrations between systems to support accurate information flow.
- Document data structures, pipeline logic and operational processes to support clear and consistent use.
- Work with technology colleagues to understand data needs and deliver fit-for-purpose solutions.
- Review existing data processes and implement improvements that strengthen performance and reliability.
Profile
Qualifications:
· Degree or Diploma in Computer Science, Data Engineering, Information Systems, or related field.
· 5+ years of experience as a Data Engineer or similar role.
· Proficiency in Python, PySpark, data modeling, ETL processes and data integration using Microsoft technologies.
· Advanced SQL skills for data transformation and querying on Azure data services (e.g., Data Factory, Databricks, Synapse, Fabric, Purview).
· Experience with SQL and debugging complex queries.
· Experience with Power BI or other BI tools.
· Familiarity with DevOps practices. CI/CD experience.
· Strong understanding of data pipeline engineering and big data design principles.
Job Offer
* Opportunity to work with modern Azure data platforms and cloud-based engineering technologies.
* Exposure to large-scale data pipeline, data warehouse, and big data initiatives.
* Strong collaboration with engineering and operations teams on strategic projects.
* Ability to influence data quality, governance, security, and operational excellence.
* Continuous learning opportunities across Microsoft data technologies, DevOps practices, and analytics solutions.
MPI does not discriminate on the basis of race, religion, sex, sexual orientation, gender identity or expression, age, disability, marital status, or based on an individual's status in any group or class otherwise protected under applicable human rights legislation. MPI encourages applications from minorities, women, the disabled and all other qualified applicantsJournal
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