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Posted 9 days ago

Data Engineer

@ Robert Half

Kitchener, Ontario

$80k–$90k/yr4+ years experience
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SIGNALS

Overview

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.

Pay:

$80,000–$90,000 a year

Responsibilities:

  • 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

Requirements summary:

  • 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

Tools & skills

Source and dates

Employer career site / ATS feed · careerpage

Employer posting date
2026-10-28
First seen by our source
2026-10-29
Source record updated
2026-10-29

These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.

Job details

SenioritySenior
DepartmentData & analytics
Experience4+ years
Work settingOffice
PositionMostly sitting
Physical demandsphysical low · computer high
LanguagesEnglish
EducationBachelor’s degree (preferred), Master’s degree (preferred)
Fields of studyInformatics, Software Engineering

Summary and details written by AI from the posting; the employer’s posting is the authority.

Robert Half

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Full company description

🔒 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.

LinkedIn followers
4,724,671
People associated on LinkedIn
27,769
Reported office locations
  • 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
Business categories
  • Skill Assessment
  • Human Resources
  • Information Technology
  • Employment
  • Consulting
  • Recruiting
  • Marketing
  • Security
  • Advertising
  • Staffing Agency
Other recorded names
  • Robert Half
  • Robert Half
Specialties
  • 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
Profile identifies a recruitment agency
Yes
Reported total investment
0

Currency and observation date were not supplied; this is not a current valuation or a funding round.

🔒 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…

FieldValue
IndustryStaffing and Recruiting
Company size10,001+ employees
HeadquartersMenlo Park, CA
Organization typePublic Company
Year founded1948
Specialtiesconsulting servicesaccounting jobsfinance jobsadministrative jobslegal jobsIT jobsrecruitmentrecruitment agencycreative jobsstaffing
Open jobs on Jobsy511
LinkedInView page
Job 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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