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AtkinsRéalis

Staff Data Developer

Montreal, QC, Canada

Expected compensation for this role is (between Pay Range $95,260 - $130, 000 annually) (Only Applicable to Ontario). · Full-time

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Job details

Pay: Expected compensation for this role is (between Pay Range $95,260 - $130, 000 annually) (Only Applicable to Ontario).
Job type: Full-time
Apply by: Nov 6, 2026
Posting language: English
Posted: Oct 7, 2026

Original job description

Overview

AtkinsRéalis is a world-leading engineering services and nuclear company dedicated to engineering a better future for our planet and its people. The Data, AI & Advanced Analytics team delivers enterprise data platforms, analytics, automation, and AI capabilities that support critical business processes across finance, operations, projects, people, and digital services.

We are seeking talented technology professionals who are passionate about solving complex challenges using modern cloud and data technologies.

We are looking for a practical, collaborative, and technically strong Staff Data Developer who can lead complex engineering work while remaining close to delivery and operations. The role supports enterprise-scale data integration, data quality, master data, operational data stores, analytics, and platform initiatives across multiple business domains.

Provide senior hands-on engineering leadership for the Orb enterprise data platform, combining solution delivery, technical assurance, production support, release coordination, and coaching across Azure-based data integration and analytics services.

Your role

Own and deliver end-to-end data engineering changes across source-to-raw (S2R), raw-to-integrated (R2I), integrated-to-curated (I2C), and related data flows.
Design, build, review, test, and optimize Azure Data Factory pipelines, SQL transformations, Azure Functions, curated datasets, and supporting orchestration.
Troubleshoot failed or long-running pipelines, source-data issues, dependency problems, duplicate records, key design issues, refresh failures, and environment-specific configuration defects.
Act as a senior technical escalation point for Orb incidents and production issues, completing root-cause analysis, implementing fixes, validating outcomes, and coordinating follow-up with analysts, QA, platform engineers, and source-system teams.
Prepare and review deployment plans; coordinate pull requests, code reviews, environment promotion, production releases, rollback readiness, and post-deployment sanity checks.
Monitor platform operations through Azure and platform logs, identify usage or performance patterns, and recommend changes to schedules, dependencies, batch processing, retries, and load strategies.
Apply data classification, sensitivity, access, and governance requirements consistently across raw, integrated, curated, and consumer-facing data assets.
Support data modelling and data quality decisions, including primary keys, business keys, mapping rules, source-to-target metadata, matching logic, and duplicate handling.
Partner closely with data analysts, data architects, QA analysts, product owners, business stakeholders, and technical teams to clarify requirements and translate them into dependable engineering solutions.
Provide technical coaching, code-review feedback, troubleshooting support, and knowledge transfer to engineers and analysts across Canada, the United Kingdom, and India.
Maintain high-quality technical documentation, including mapping specifications, deployment plans, change records, operational evidence, and support handover material.
Contribute to the evolution of the Orb platform, including standardized engineering templates, automation, maintainability improvements, and migration toward Microsoft Fabric.

Pipeline Engineering

Build and rework Azure Data Factory (ADF) pipelines and supporting SQL or Azure Function components for REST APIs, files, ERP, HR, finance, project, procurement, and other enterprise sources.

Technical Assurance

Review pull requests, validate implementation against engineering patterns, confirm unit testing, and identify defects before release.

Release And Operations

Coordinate DEV, UAT, pre-production, and production deployment activities.
Refresh or rerun pipelines.
Perform technical checks.
Support controlled recovery activities.

Data Design

Contribute to source-to-target mappings, metadata, keys, sensitivity classifications, integrated and curated models, and reconciliation logic.

Incident Resolution

Investigate failed loads, timeouts, API limits, duplicates, missing data, configuration issues, and cross-environment differences.

Team Enablement

Unblock analysts and engineers, explain platform behaviour, provide practical guidance, and preserve continuity across global handoffs.

About You

Significant hands-on experience delivering and supporting enterprise data platforms in Microsoft Azure.

Primary/Mandatory Skills

Data Engineering and Integration:

Azure Data Factory.
Azure Synapse Analytics.
Azure SQL.
SQL Server.
Azure Data Lake Storage Gen2.
ETL/ELT, orchestration, incremental and full-load patterns, dependency management, retry and batching strategies.
T-SQL, stored procedures, source-to-target mapping, dimensional and relational data modelling.
REST API, file-based, database, ERP, and SaaS integration patterns.
Delta Lake, Parquet, Operational Data Store, Data Warehouse, Lakehouse, and curated-data concepts.

Software Engineering And DevOps

C#/.NET and Azure Functions.
Git and Azure DevOps pull requests, code reviews, build and release pipelines.
CI/CD, environment configuration, release planning, deployment evidence, rollback, and post-release validation.
PowerShell or equivalent scripting for automation and operational support.

Operations, Quality, And Governance

Production troubleshooting, root-cause analysis, logging, monitoring, and incident resolution.
Data quality investigation, reconciliation, duplicate handling, key design, and validation.
Data classification, sensitivity, secure access, Azure Key Vault, and Microsoft Entra ID.
Clear technical documentation and disciplined change-control practices.
Secondary/Developing Skills:

Microsoft Fabric, including Data Factory, OneLake, Lakehouse, Warehouse, notebooks, pipelines, and semantic models.
Power BI semantic models and downstream analytical consumption.
Master Data Management concepts and Profisee.
Real-time and event-driven data processing where required by the platform roadmap.

Ability to move between solution delivery and operational support without losing engineering discipline.
Ability to communicate clearly with technical and non-technical stakeholders and turn ambiguous issues into actionable engineering work.
Strong judgement when assessing release readiness, production risk, data correctness, and appropriate escalation.
Comfort working across time zones and coordinating handoffs among globally distributed engineering, QA, analysis, and architecture teams.
A collaborative approach to coaching others, sharing context, and improving repeatability through standards and automation.
Bilingualism (french and English)
Member of the Canadian or Global Leadership Team: This position requires knowledge of a language other than French, namely English, as it involves collaboration with members of the Canadian or global leadership team located outside Québec.

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

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.

Expected compensation for this role is (between Pay Range $95,260 - $130, 000 annually) (Only Applicable to Ontario). 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.

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More about this job

Responsibilities

Lead hands-on engineering delivery and operational support for the Orb enterprise data platform, including Azure Data Factory pipelines, SQL transformations, Azure Functions, data models, and integrations across enterprise sources. Resolve production incidents, assure code and release quality, coordinate deployments, apply data governance, and coach globally distributed teams while contributing to platform improvements and migration toward Microsoft Fabric.

Requirements

The role requires significant hands-on experience delivering and supporting enterprise data platforms in Azure, with strong skills in Azure Data Factory, Synapse, Azure SQL, SQL Server, ADLS Gen2, T-SQL, integration patterns, and data modeling. Candidates should also bring software engineering and DevOps experience, production troubleshooting and governance expertise, clear communication and documentation skills, and the ability to coordinate releases and support teams across time zones.

Skills

Azure Data Factory
Azure Synapse Analytics
Azure SQL
SQL Server
Azure Data Lake Storage Gen2
T-SQL
C#/.NET
Azure Functions
Git
Azure DevOps
CI/CD
ETL/ELT
Data Modeling
REST API Integration
Production Troubleshooting
Data Governance

Benefits

Competitive Compensation
Employee Recognition
Flexible Benefits
Training and Professional Development
Hybrid Working
Generous Time-Off Policies

Visa sponsorship

Not detected in the job text

Keywords

Azure Data Factory
Azure Synapse Analytics
Azure SQL
SQL Server
Azure Data Lake Storage Gen2
T-SQL
C#/.NET
Azure Functions
Git
Azure DevOps
CI/CD
PowerShell
Microsoft Fabric
OneLake
Power BI
Profisee
ETL/ELT
REST APIs
Delta Lake
Parquet
Operational Data Store
Data Warehouse
Lakehouse
Data Integration
Data Modeling
Master Data Management
Data Quality
Data Governance
Root-Cause Analysis
Release Management

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