Geotechnical Data Specialist

AtkinsRéalis

. Develop and maintain geotechnical databases for efficient data storage and retrieval .

Posted 9/30/2026full-timeOttawa • CanadaSeniorLead💰 CA$80,700 - CA$111,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and maintaining geotechnical databases, utilizing data analysis and visualization techniques to support engineering designs. Proficient in data manipulation using Python and SQL, with substantial experience in Microsoft Azure and Power Apps for data integration and automation.

Highest-signal resume keywords

Data AnalysisPython ProgrammingSQL Database DevelopmentMicrosoft AzureGeotechnical Data Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data VisualizationStatistical AnalysisSpatial Data ModellingData Quality AssessmentDashboard DevelopmentData ProcessingData IntegrationAutomation SkillsData ScienceGeotechnical Data Familiarity

Soft Skills

CollaborationTechnical GuidanceCommunication

Tools & Technologies

Microsoft Power AppsMicrosoft Power AutomateMicrosoft 365Cloud-Based Data SolutionsEnterprise Data Platforms

Industry Keywords

Geotechnical EngineeringData EngineeringTransportationRail and TransitEnergyCities and DevelopmentsIndustrial Sectors

Tech Stack

Tools & technologies

AzureCloudCyber SecurityPythonSQL

About the role

Key responsibilities & impact

Develop and maintain geotechnical databases for efficient data storage and retrieval
Perform data analysis, modeling, and visualization to support engineering designs
Use data-manipulation software tools and programming languages, including Python and SQL, for data processing
Collaborate with engineers, geologists, and project teams to integrate geotechnical insights
Provide technical guidance on geotechnical data management, interpretation, and reporting
Keep up with industry trends and innovations in geotechnical data science
Participate on multidisciplinary teams and projects across transportation, rail and transit, energy, cities and developments, and industrial sectors

Requirements

What you’ll need

Bachelor's or Master's degree in Computer Science, Information Systems, Data Engineering, Engineering, or a related field
10+ years of experience delivering enterprise data platforms, cloud-based data solutions, data integration, or related digital initiatives
Substantial experience in Microsoft Azure environments
Hands-on experience with Microsoft Power Apps and Power Automate, including business applications, automated workflows, approval processes, notifications, and integrations with Azure, Microsoft 365, and enterprise data sources
Ability to collaborate with IT, cybersecurity, data architecture, and engineering teams to define requirements, integrate systems, establish governance controls, and deliver secure, maintainable data solutions
Data analysis and data science capabilities, including dashboard development, data visualization, spatial data modelling, statistical analysis, data-quality assessment, and preparation of decision-ready insights
Database-development and automation skills using SQL, Python, or comparable scripting languages
Familiarity with geotechnical data and its engineering context is an asset

Benefits

Comp & perks

Competitive compensation
Employee recognition
Flexible benefits tailored to health, wellbeing, financial and lifestyle needs
Training and professional development opportunities
Hybrid working culture
Generous time-off policies
Accommodation provided upon request throughout the recruitment and hiring process