Publié il y a 25 jours
Data Engineers
@ Hays
Toronto, Ontario
En bref
Hays is hiring a contract Data Engineer (Azure) for six months in downtown Toronto, hybrid with three days onsite. The work covers building and maintaining scalable Azure data pipelines, ETL/ELT processes and enterprise data warehouse solutions, plus integrations and troubleshooting across environments.
Salaire :
70 $–80 $ de l’heure
Responsabilités :
- Design and maintain scalable data pipelines in Azure
- Build and optimize ETL/ELT processes with Azure Data Factory and Synapse
- Develop transformations using Mapping Data Flows, T-SQL, PySpark and Python
- Maintain enterprise data warehouse and storage solutions
- Build REST API integrations and Azure Function Apps and Logic Apps
Résumé des exigences :
- 3+ years of Azure data engineering experience
- Hands-on experience with ADF, Synapse, ADLS and Azure SQL
- Proficiency in T-SQL, Python and PySpark
- Strong data modeling and data warehousing knowledge
- Excellent communication and stakeholder management
Outils et compétences
Source et dates
Site carrière / système de candidatures · careerpage
- Date publiée par l’employeur
- 2026-10-12
- Première détection par notre source
- 2026-10-14
- Mise à jour du dossier source
- 2026-10-14
Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.
Détails du poste
| Niveau | Intermédiaire |
| Domaine | Données et analytique |
| Expérience | 3 an(s) et plus |
| Déplacements | avion : aucun · route : aucun |
| Milieu de travail | Bureau |
| Position | Surtout assis |
| Exigences physiques | physique faible · ordinateur élevé |
| Langues | English |
Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.
| Champ | Valeur |
|---|---|
| Offres sur Jobsy | 247 |
Data Engineer (Azure)
Job Type: Contract Contract Duration: 6 Months Location: Downtown Toronto, ON (Hybrid - 3 Days Onsite)
What You'll Be Doing
- Design, develop, and maintain scalable data pipelines within Azure cloud environments.
- Build and optimize ETL/ELT processes using Azure Synapse Analytics, Azure Data Factory, and Azure Data Lake.
- Develop data transformation solutions using Mapping Data Flows, T-SQL, PySpark, and Python.
- Design and maintain enterprise data warehouse and data storage solutions.
- Build and maintain integrations using REST APIs, Azure Function Apps, Logic Apps, and Event Hub.
- Support data ingestion, transformation, cleansing, quality validation, and delivery across multiple data platforms.
- Collaborate with business stakeholders to gather requirements and translate them into scalable data solutions.
- Create and maintain technical documentation, standards, and development processes.
- Troubleshoot and resolve data-related issues across development, test, UAT, and production environments.
- Contribute to cloud data strategy, platform modernization, and continuous improvement initiatives.
What You'll Need to Succeed
- 3+ years of Data Engineering experience with Microsoft Azure technologies.
- Strong hands-on experience with Azure Data Factory (ADF), Azure Synapse Analytics, Azure Data Lake Storage (ADLS), Azure SQL Database, Azure Function Apps, Logic Apps, and Event Hub.
- Proficiency in T-SQL, Python, and PySpark.
- Experience building and supporting enterprise data warehouse solutions.
- Strong understanding of data modeling and data warehousing principles.
- Experience working with structured, semi-structured, and unstructured data.
- Experience developing REST API integrations and data transformation pipelines.
- Strong troubleshooting, analytical, and problem-solving skills.
- Excellent communication and stakeholder management capabilities.
Nice to Have
- Microsoft Certified: Azure Data Engineer Associate, Azure Solutions Architect Expert, or Fabric Analytics Engineer Associate.
- Experience with Microsoft Fabric, Lakehouse, and Warehouse solutions.
- Experience with DevOps, CI/CD pipelines, and automated deployment processes.
- Experience implementing data quality controls, validation frameworks, and confidence scoring.
- Understanding of Medallion Architecture (Bronze, Silver, Gold layers).
- Experience working within financial services environments.
- Experience with Agile/Waterfall methodologies and tools such as Jira and Confluence.
What You'll Get in Return
You will have the opportunity to work on modern Azure cloud and data transformation initiatives within a collaborative team environment. The role offers exposure to enterprise-scale data platforms, cloud technologies, and the potential to contribute to long-term data modernization programs.
What You Need to Do Now
If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.
If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion on your career.
This posting is for an existing vacancy with the organization. AI may be used to screen, assess or select applicants for the position.
This posting is for an existing vacancy with the organization.
AI may be used to screen, assess or select applicants for the position.
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