Postuler

Publié il y a 9 jours

Data Engineer

@ Robert Half

Kitchener, Ontario

80k–90k $/an4+ ans d’expérience
Postuler
SIGNAUX

En bref

Robert Half is hiring a Data Engineer in Kitchener, Ontario to build reliable, scalable data solutions that support analytics and business decisions. The role covers batch and real-time pipelines, data architecture design, and Agile delivery.

Salaire :

80 000 $–90 000 $ par année

Responsabilités :

  • Design and maintain batch and near real-time data pipelines
  • Build Databricks workflows with Python, PySpark and Spark SQL
  • Create data warehouse structures using dimensional and Medallion modelling
  • Manage Azure data services including Data Factory, Key Vault and Storage
  • Contribute to CI/CD and Agile delivery with cross-functional teams

Résumé des exigences :

  • Degree in Informatics, Software Engineering or related field, or equivalent experience
  • At least 4 years of data warehousing experience
  • Minimum 4 years of hands-on Databricks, Python and Spark development
  • Experience with Azure data services
  • Knowledge of coding standards, automated testing and CI/CD
  • Experience with Agile frameworks such as Scrum

Outils et compétences

Source et dates

Site carrière / système de candidatures · careerpage

Date publiée par l’employeur
2026-10-28
Première détection par notre source
2026-10-29
Mise à jour du dossier source
2026-10-29

Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.

Détails du poste

NiveauSenior
DomaineDonnées et analytique
Expérience4 an(s) et plus
Milieu de travailBureau
PositionSurtout assis
Exigences physiquesphysique faible · ordinateur élevé
LanguesEnglish
FormationBaccalauréat (préféré), Maîtrise (préféré)
Domaines d’étudesInformatics, Software Engineering

Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.

Robert Half

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.

Helping you find skilled candidates, in-demand jobs, and solutions you need to do your best work yet.

Description complète de l’entreprise

🔒 At Robert Half, we prioritize your security—if you believe you've encountered a scam or fraudulent recruiter, please report it immediately to https://www.roberthalf.com/us/en/fraud-alert. All Robert Half recruiters communicate using their corporate email address, ending in roberthalf.com. 👋 Welcome to Robert Half. We're the world’s first and largest specialized talent solutions firm, connecting opportunities at great companies with highly skilled job seekers. We provide dynamic contract, temporary, and permanent placement solutions across finance, accounting, technology, marketing, creative, legal, and administrative sectors. 🏆 In the last 12 months, Robert Half has been recognized as one of America’s Most Innovative Companies by Fortune, and with Protiviti, has been named one of the Fortune® World's Most Admired Companies™ and 100 Best Companies to Work For. 🏦 Traded on the New York Stock Exchange (symbol: RHI), we’re at the forefront of innovation in talent acquisition.

Abonnés LinkedIn
4 724 671
Personnes associées sur LinkedIn
27 769
Bureaux déclarés
  • 2884 Sand Hill Road Suite 200, Menlo Park, CA 94025, US
  • 2613 Camino Ramon, San Ramon, California 94583, US
  • Robert Half International, Avenue Louise, 250 - 5th floor, Brussels, 1050, BE
  • Robert Half International, 10th floor, The Shard, 32 London Bridge Street, London, London SE1 9SG, GB
  • Robert Half International, Av. Dr. Cardoso de Melo, 1184, 11° andar, Sao Paulo, SP 04548-004, BR
  • Robert Half International, Level 24, 1 Martin Place, Sydney, NSW 2000, AU
  • 140 William St, Melbourne, VIC 3000, AU
  • Avenida Doutor Cardoso de Melo 1184, São Paulo, BR
  • 2613 Camino Ramon, San Ramon, CA 94583, US
  • 20, Avenue André Prothin, Tour Europlaza, Courbevoie, Île-de-France 92400, FR
Catégories d’activité
  • Skill Assessment
  • Human Resources
  • Information Technology
  • Employment
  • Consulting
  • Recruiting
  • Marketing
  • Security
  • Advertising
  • Staffing Agency
Autres noms enregistrés
  • Robert Half
  • Robert Half
Spécialités
  • consulting services
  • accounting jobs
  • finance jobs
  • administrative jobs
  • legal jobs
  • IT jobs
  • recruitment
  • recruitment agency
  • creative jobs
  • staffing
  • hiring
  • employment agency
  • contract talent
  • contract professionals
  • talent solutions
  • contract employment
  • permanent placement
  • customer support jobs
  • and marketing jobs
Le profil indique une agence de recrutement
Oui
Investissement total déclaré
0

La devise et la date d’observation ne sont pas fournies; ce n’est ni une valorisation actuelle ni une ronde de financement.

🔒 At Robert Half, we prioritize your security—if you believe you've encountered a scam or fraudulent recruiter, please report it immediately to https://www.roberthalf.com/us/en/fraud-alert. All Robert Half recruiters communicate using their corporate email address, ending in roberthalf.com. 👋 Welcome to Robert Half. We're the world’s first and largest specialized talent solutions firm, connecting opportunities at…

ChampValeur
SecteurStaffing and Recruiting
Taille10,001+ employees
Siège socialMenlo Park, CA
Type d’organisationPublic Company
Fondée en1948
Spécialitésconsulting servicesaccounting jobsfinance jobsadministrative jobslegal jobsIT jobsrecruitmentrecruitment agencycreative jobsstaffing
Offres sur Jobsy502
LinkedInVoir la page
Description
We are looking for a Data Engineer to join a team in Kitchener, Ontario and build reliable, scalable data solutions that support analytics and business decision-making. This position is well suited to someone who brings strong experience in modern data warehousing, cloud-based data platforms, and robust engineering practices. The successful candidate will work across batch and real-time pipelines, contribute to data architecture design, and help strengthen delivery within an Agile environment.

Responsibilities:
• Design, build, and maintain data pipelines that support both scheduled and near real-time processing across enterprise data platforms.
• Develop and optimize data solutions within Databricks using Python, PySpark, and Spark SQL to deliver dependable and efficient data workflows.
• Create and enhance data warehouse structures using dimensional modelling principles and layered architecture approaches such as Medallion frameworks.
• Integrate and manage cloud-based data services in Azure, including orchestration, secure secret handling, and storage components to support end-to-end data movement.
• Apply sound software engineering practices by writing maintainable code, implementing tests, and contributing to CI/CD processes within a DevOps setting.
• Collaborate with cross-functional teams in Agile delivery models to define requirements, refine technical approaches, and deliver data products iteratively.
• Analyse data structures and transformation needs to choose appropriate modelling and manipulation techniques for different business use cases.
• Support data platform improvements and related technical changes, including enhancements tied to evolving systems, integrations, or operational processes where required. • Bachelor’s or Master’s degree in Informatics, Software Engineering, or a related field, or an equivalent combination of education and practical experience.
• At least 4 years of experience working in data warehousing, including exposure to batch and streaming data processing and modern architectural patterns.
• Minimum 4 years of hands-on experience with Databricks, dimensional data modelling, Python, and Spark-based development.
• Demonstrated experience with Azure services such as Azure Data Factory, Key Vault, and Azure Storage in support of data engineering solutions.
• Strong knowledge of coding standards, automated testing approaches, and CI/CD practices within a DevOps-oriented environment.
• Advanced understanding of data modelling, data transformation, and the strengths and limitations of different data structures across varied use cases.
• Experience working within Agile frameworks such as Scrum, Spotify model, or similar team-based delivery methodologies.
• Preferred assets include experience with Oracle databases or applications, familiarity with languages such as Bash, Java, Scala, or R, and an interest in machine learning or AI concepts.

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Lieux et modes de travail

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