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AtkinsRéalis

Geotechnical Data Specialist

Toronto, ON, Canada
Ottawa, ON, Canada
Vaughan, ON, Canada
Saskatoon, SK, Canada
Vancouver, BC, Canada
Calgary, AB, Canada

Pay: Expected compensation for this role is between $80,700 - $111,000 annually.
Job type: Full-time
Posting language: English
Posted: Sep 30, 2026

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Original job description

Job Description

Overview

We are currently seeking a Geotechnical Data Specialist to join the Geotechnical Practice, delivering technical and operational excellence as we expand our geotechnical data management and analysis efforts across Canada.

We are seeking a technically strong professional with deep Microsoft Azure expertise who can design and deliver secure, scalable cloud-based data solutions. The ideal candidate will complement this core capability with practical data analytics, visualization, and stakeholder-management skills; familiarity with geotechnical data and its engineering context is an asset.

Our geotechnical professionals work closely with other AtkinsRéalis professionals in multiple sectors such as transportation, rail & transit, energy, cities and developments as well as industrial. You will participate on multi-disciplinary teams and projects and will be expected to collaborate on multidisciplinary projects of all scales.

Your role

Developing and maintaining geotechnical databases for efficient data storage and retrieval.
Performing data analysis, modeling, and visualization to support engineering designs.
Utilizing common data-manipulation software tools and programming languages (Python, SQL) for data processing.
Collaborating closely with engineers, geologists, and project teams to integrate geotechnical insights.
Providing technical guidance on geotechnical data management, interpretation, and reporting.
Keeping up with industry trends and innovations in geotechnical data science.

About you

A Bachelor's or Master's degree in Computer Science, Information Systems, Data Engineering, Engineering, or a related field with 10+ years of experience delivering enterprise data platforms, cloud-based data solutions, data integration, or related digital initiatives, and substantial experience in Microsoft Azure environments.
Demonstrated hands-on experience with Microsoft Power Apps and Power Automate, including the development of business applications, automated workflows, approval processes, notifications, and integrations with Azure, Microsoft 365, and enterprise data sources.
Proven 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.
Practical data analysis and data science capabilities, including dashboard development, data visualization, spatial data modelling, statistical analysis, data-quality assessment, and the preparation of decision-ready insights.
Strong database-development and automation skills using SQL, Python, or comparable scripting languages.

Rewards & benefits

Explore the rewards and benefits that help you thrive – at every stage of your life and your career at AtkinsRéalis in Canada.

Enjoy competitive compensation, employee recognition, and a brilliant range of flexible benefits you can tailor to your health, wellbeing, financial and lifestyle needs.

Make the most of diverse opportunities for training and professional development to grow your skills and expertise.

And take advantage of our hybrid working culture and generous time-off policies to balance a fulfilling career with your personal life.

Be rewarded. Find out more.

About AtkinsRéalis

We're AtkinsRéalis, a world-class engineering services and nuclear organization. We connect people, data and technology to transform the world's infrastructure and energy systems. Together, with our industry partners and clients, and our global team of consultants, designers, engineers and project managers, we can change the world. We're committed to leading our clients across our various end markets to engineer a better future for our planet and its people.

Find out more.

Additional information

Expected compensation for this role is between $80,700 - $111,000 annually. Base salaries are determined according to several parameters like skills, experience, and potential impact on the role. Internal and external competitiveness are also taken into account in our offers.

AtkinsRéalis cares about your privacy. AtkinsRéalis and other subsidiary or affiliated companies of AtkinsRéalis (referred to throughout as “AtkinsRéalis”) are committed to protecting your privacy. Please consult our Privacy Notice on our Careers site to know more about how we collect, use, and transfer your Personal Data.

By submitting your personal information to AtkinsRéalis, you confirm that you have read and accept our Privacy Notice.

Appropriate accommodation will be provided upon request throughout the recruitment and hiring process as required by Company policy and the Accessibility for Ontarians with Disabilities Act (AODA).

Successful applicants will be notified about AtkinsRéalis’ accommodation policies at the time the employment offer is extended, and the information will be shared with new personnel during the onboarding process.

Worker Type

Employee

Job Type

Regular

At AtkinsRéalis, we seek to hire individuals with diverse characteristics, backgrounds and perspectives. We strongly believe that world-class talent makes no distinctions based on gender, ethnic or national origin, sexual identity and orientation, age, religion or disability, but enriches itself through these differences.

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More about this job

Responsibilities

The Geotechnical Data Specialist will develop and maintain geotechnical databases while performing data analysis and modeling to support engineering designs. They will collaborate with multidisciplinary teams to integrate geotechnical insights and provide technical guidance on data management and reporting.

Requirements

Candidates must hold a Bachelor's or Master's degree in a relevant field and possess 10+ years of experience in enterprise data platforms and cloud-based solutions. Strong proficiency in Microsoft Azure, SQL, Python, and Power Platform tools is required to deliver secure and scalable data solutions.

Skills

Microsoft Azure
Data management
Data analysis
Data visualization
Python
SQL
Microsoft Power Apps
Power Automate
Database development
Spatial data modelling
Statistical analysis
Cloud-based data solutions
Stakeholder management
Geotechnical data
Data quality assessment

Benefits

Competitive compensation
Employee recognition
Flexible benefits
Training and professional development
Hybrid working culture
Generous time-off policies

Visa sponsorship

Not detected in the job text

Keywords

Geotechnical
Microsoft Azure
Data Engineering
Cloud Computing
Python
SQL
Power Apps
Power Automate
Data Visualization
Spatial Data
Database Development
Data Governance
Engineering
Data Science
Automation
Infrastructure
Energy Systems
Cybersecurity
Data Integration
Statistical Analysis

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