Publié il y a 2 mois
Data Engineer
@ Hays
Toronto, Ontario
En bref
Hays is recruiting a GCP Data Engineer for a leading Canadian retail client investing in its enterprise data and cloud capabilities. The role designs, builds and maintains cloud-based data pipelines and platforms on Google Cloud Platform, working with architects, analysts and business stakeholders. Five or more years of data or software engineering experience is ideally required; the posting states a contract arrangement with competitive compensation.
Salaire :
45 $–50 $ de l’heure
Responsabilités :
- Design, build and maintain cloud-based data pipelines on Google Cloud Platform
- Develop scalable, production-ready data solutions
- Work with architects, analysts and software engineers
- Optimise data platforms and processing performance
Résumé des exigences :
- Five or more years of data or software engineering experience
- Hands-on production experience on GCP
- Advanced proficiency in Python and SQL
- Experience with Apache Beam, Airflow, Spark or similar tools
- Knowledge of CI/CD, Git and infrastructure as code
Outils et compétences
Source et dates
Site carrière / système de candidatures · careerpage
- Date publiée par l’employeur
- 2026-09-08
- Première détection par notre source
- 2026-10-11
- Mise à jour du dossier source
- 2026-10-11
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 |
| 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 | 248 |
Your new company
Our client is a leading Canadian retail organisation undertaking significant investment in its enterprise data and cloud capabilities. They are looking for an experienced GCP Data Engineer to support the design, development, and optimisation of scalable data solutions within a collaborative, high-performing technology environment.
Your new role
As a GCP Data Engineer, you will design, build, and maintain reliable cloud-based data pipelines and platforms using Google Cloud Platform. You will work closely with data architects, analysts, software engineers, and business stakeholders to transform complex data requirements into secure, scalable, and production-ready solutions.
What you'll need to succeed
- Ideally five or more years of professional experience in data engineering, software engineering, or a closely related field.
- Strong hands-on experience building production-grade data solutions on Google Cloud Platform.
- Practical experience with BigQuery and GCP data services such as Dataflow, Pub/Sub, Cloud Storage, and Cloud Composer.
- Advanced proficiency in Python and SQL.
- Experience developing ETL or ELT pipelines for large and complex datasets.
- Strong understanding of data modelling, data warehousing, pipeline orchestration, and distributed data-processing concepts.
- Experience with Apache Beam, Airflow, Spark, or comparable data-processing and orchestration technologies.
- Knowledge of CI/CD, Git-based development practices, automated testing, and infrastructure as code.
What you'll get in return
You will have the opportunity to work with a talented team of professionals in a dynamic and supportive environment. The client is offering competitive compensation, professional development opportunities, and the chance to make a meaningful contribution to a large-scale cloud data environment.
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.
#LI-DNI
#1126635 - Alex Whibley
Journal
Visible seulement par vous. Conservé sur cet appareil, et dans votre compte une fois connecté.