Publié il y a 41 mois
Senior Data Engineer
@ Bay Street Staffing
Toronto, Ontario
En bref
Bay Street Staffing is hiring a Senior/Staff Data Engineer on a 12-month full-time contract for its new Data & Analytics Engineering team in Toronto, hybrid with 2 days in office. The role designs and ships data solutions on Azure, builds data pipelines, and sets architecture recommendations, requiring at least 8 years of software or data engineering experience with 2 years of technical lead experience.
Responsabilités :
- Design and implement full-stack data and analytics solutions at scale
- Build and maintain data pipelines that ingest, transform and serve data
- Drive data modeling and data quality and integrity checks
- Establish Azure infrastructure for self-service analytics and machine learning
- Provide architecture recommendations aligned with enterprise data strategy
Résumé des exigences :
- Minimum 8 years of software or data engineering experience
- At least 2 years of technical lead experience
- Azure data platform experience (Data Factory, Databricks, Synapse, Purview)
- Deep proficiency in Python and SQL with PySpark
- Experience with CI/CD and infrastructure as code (Terraform, Ansible)
Outils et compétences
Source et dates
Type de source non vérifié · zoho
- Date publiée par l’employeur
- 2023-06-26
- Première détection par notre source
- 2026-10-15
- Mise à jour du dossier source
- 2026-10-15
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 | 8 an(s) et plus |
| Expérience en gestion | 2 an(s) et plus |
| Déplacements | avion : aucun · route : aucun |
| Milieu de travail | Bureau, Domicile |
| 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.
Bay Street Staffing
Profil d’entreprise sauvegardé
Renseignements historiques provenant d’un profil The Jobs API sauvegardé (champs LinkedIn/Crunchbase). Ils ne sont pas vérifiés en temps réel; les chiffres peuvent avoir changé. Les valeurs manquantes restent inconnues.
Bay Street Staffing is Canada's leading boutique recruitment agency.
Description complète de l’entreprise
Bay Street Staffing is a Leader in the boutique staffing sector—offering fast, agile, exceptional customer service. We have partnered with some of Canada’s largest organizations to help them deliver the talent they are looking for. Building solid relationships built on trust and integrity is our signature at Bay Street Staffing. Bay Street offers expert, specialized recruiting practices that result in sought-after matches between candidates and employers. Today’s challenging business climate demands that companies hire the best talent to maintain a competitive edge. Bay Street Staffing’s consultants offer specialized insight into local markets, employment trends, global networks and the impact on the Canadian workforce.
- Abonnés LinkedIn
- 131 054
- Personnes associées sur LinkedIn
- 38
- Bureaux déclarés
- 301 King St. West 2nd Floor, Toronto, ON M5V1J5, CA
- Autres noms enregistrés
- Bay Street Staffing
- Spécialités
- Recruitment
- Human resources
- Talent Acquisition
- Sales
- Capital Markets
- Agile
- Fintech
- Scrum
- Team Management
- Agile Methodologies
- Marketing
- Social Media Marketing
- CIM
- Finance
- Securities
- Investments
- Business Development
- and Employee Engagement
- Le profil indique une agence de recrutement
- Oui
Bay Street Staffing is a Leader in the boutique staffing sector—offering fast, agile, exceptional customer service. We have partnered with some of Canada’s largest organizations to help them deliver the talent they are looking for. Building solid relationships built on trust and integrity is our signature at Bay Street Staffing. Bay Street offers expert, specialized recruiting practices that result in sought-after…
| Champ | Valeur |
|---|---|
| Secteur | Staffing and Recruiting |
| Taille | 11-50 employees |
| Siège social | Toronto, ON |
| Type d’organisation | Privately Held |
| Fondée en | 2010 |
| Spécialités | RecruitmentHuman resourcesTalent AcquisitionSalesCapital MarketsAgileFintechScrumTeam ManagementAgile Methodologies |
| Offres sur Jobsy | 40 |
| Voir la page |
Job Description: Senior/Staff Data Engineer (Contract full-time)
We are currently hiring for a Senior/Staff Data Engineer (Contract full-time) to join our newly formed Data & Analytics Engineering team. This team is dedicated to establishing a robust data & analytics engineering foundation at scale, empowering fast data-driven decision-making for our business partners.
Role Overview:
As a Data Engineer at the Senior/Staff level, you will be responsible for driving data solution architecture and implementation in an agile environment. You will work closely with our business partners and other key stakeholders to deliver high-quality data solutions.
Qualifications:
Minimum of 8 years of software/data engineering experience, including at least 2 years of technical lead experience.
Strong knowledge of data engineering best practices and data architecture patterns, such as Data Mesh and Lakehouse.
Proven experience in end-to-end data architecture and design, preferably with Azure technologies such as Data Factory, Databricks, Delta Lake, Synapse, Purview, and Azure DevOps.
Solid understanding of data modeling fundamentals and expertise in implementing effective data governance practices, including data quality, lineage, and data discovery.
Experience driving CI/CD and laC adoption to automate change management of data pipelines and infrastructure, utilizing tools like Git/GitHub, Jenkins, Terraform, and Ansible.
Deep proficiency in Python and SQL, with experience using PySpark.
Ability to build data exploratory interfaces using Notebooks (e.g., Databricks) and sandbox environments to enable self-service capabilities.
Passion for taking ownership and applying engineering best practices in day-to-day work.
Self-starter and quick learner, always seeking opportunities to drive engineering excellence and never satisfied with the status quo.
Responsibilities:
In this role, your typical day will involve:
Designing and implementing full-stack data and analytics solutions at scale to enhance analytics capabilities.
Independently shipping large and complex features and foundational improvements from start to completion, including requirements/data analysis, development, testing, and deployment.
Building and maintaining data pipelines that ingest, clean, transform, aggregate, and serve structured and unstructured data to meet operational and analytical needs.
Driving data modeling and ensuring proper data quality and integrity checks as part of data pipelines.
Establishing robust infrastructure on Azure to enable self-service data and analytics, advanced data science, and machine learning capabilities for our business users.
Managing complex requirements and technical discussions with minimal oversight, providing architecture recommendations aligned with the technology roadmap and enterprise data strategy.
Continuously seeking opportunities to improve data and code quality, platform performance, and scalability by introducing and implementing engineering best practices and standards.
Location: Toronto/Hybrid (2 days in office + remote)
Contract Duration: 12 months
Journal
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