{"id":2035770,"url":"https://alion.io/job/atkinsrealis-staff-developer","title":"Staff Developer","company":{"id":8926,"name":"AtkinsRéalis","domain":"atkinsrealis.com","url":"https://alion.io/company/atkinsrealis","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":79,"open_postings":325,"ghost_share":0,"stale_share":0.852,"repost_share":0.006,"time_to_fill_p50_days":30,"computed_at":"2026-10-10T05:45:15Z"}},"role":"Backend","role_family":"Backend","seniority":"staff","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Montreal, Canada","Toronto, Canada"],"countries":["CA"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":99000,"max_usd":165000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":37},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":".NET","optional":false},{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Azure DevOps","optional":false},{"name":"Azure SQL Database","optional":false},{"name":"C#","optional":false},{"name":"CI/CD","optional":false},{"name":"Delta Lake","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Git","optional":false},{"name":"Master Data Management","optional":false},{"name":"Microsoft Entra ID","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"MS SQL","optional":false},{"name":"Power BI","optional":false},{"name":"PowerShell","optional":false},{"name":"Rest API","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-07T15:54:08Z","employer_posted_date":"2026-10-07","last_verified_at":"2026-10-11T21:47:26Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"Job Description\nOverview\nAtkinsRéalis 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.\nWe are seeking talented technology professionals who are passionate about solving complex challenges using modern cloud and data technologies.\nWe are looking for a practical, collaborative, and technically strong Staff 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.\nProvide 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.\nYour role\nOwn 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.\nDesign, build, review, test, and optimize Azure Data Factory pipelines, SQL transformations, Azure Functions, curated datasets, and supporting orchestration.\nTroubleshoot failed or long-running pipelines, source-data issues, dependency problems, duplicate records, key design issues, refresh failures, and environment-specific configuration defects.\nAct 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.\nPrepare and review deployment plans; coordinate pull requests, code reviews, environment promotion, production releases, rollback readiness, and post-deployment sanity checks.\nMonitor platform operations through Azure and platform logs, identify usage or performance patterns, and recommend changes to schedules, dependencies, batch processing, retries, and load strategies.\nApply data classification, sensitivity, access, and governance requirements consistently across raw, integrated, curated, and consumer-facing data assets.\nSupport data modelling and data quality decisions, including primary keys, business keys, mapping rules, source-to-target metadata, matching logic, and duplicate handling.\nPartner 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.\nProvide technical coaching, code-review feedback, troubleshooting support, and knowledge transfer to engineers and analysts across Canada, the United Kingdom, and India.\nMaintain high-quality technical documentation, including mapping specifications, deployment plans, change records, operational evidence, and support handover material.\nContribute to the evolution of the Orb platform, including standardized engineering templates, automation, maintainability improvements, and migration toward Microsoft Fabric.\nPipeline Engineering:\nBuild 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.\nTechnical Assurance:\nReview pull requests, validate implementation against engineering patterns, confirm unit testing, and identify defects before release.\nRelease and Operations:\nCoordinate DEV, UAT, pre-production, and production deployment activities.\nRefresh or rerun pipelines.\nPerform technical checks.\nSupport controlled recovery activities.\nData Design:\nContribute to source-to-target mappings, metadata, keys, sensitivity classifications, integrated and curated models, and reconciliation logic.\nIncident Resolution:\nInvestigate failed loads, timeouts, API limits, duplicates, missing data, configuration issues, and cross-environment differences.\nTeam Enablement:\nUnblock analysts and engineers, explain platform behaviour, provide practical guidance, and preserve continuity across global handoffs.\nAbout you\nSignificant hands-on experience delivering and supporting enterprise data platforms in Microsoft Azure.\nPrimary/Mandatory Skills:\nData Engineering and Integration:\nAzure Data Factory.\nAzure Synapse Analytics.\nAzure SQL.\nSQL Server.\nAzure Data Lake Storage Gen2.\nETL/ELT, orchestration, incremental and full-load patterns, dependency management, retry and batching strategies.\nT-SQL, stored procedures, source-to-target mapping, dimensional and relational data modelling.\nREST API, file-based, database, ERP, and SaaS integration patterns.\nDelta Lake, Parquet, Operational Data Store, Data Warehouse, Lakehouse, and curated-data concepts.\n\nSoftware Engineering and DevOps:\nC#/.NET and Azure Functions.\nGit and Azure DevOps pull requests, code reviews, build and release pipelines.\nCI/CD, environment configuration, release planning, deployment evidence, rollback, and post-release validation.\nPowerShell or equivalent scripting for automation and operational support.\nOperations, Quality, and Governance:\nProduction troubleshooting, root-cause analysis, logging, monitoring, and incident resolution.\nData quality investigation, reconciliation, duplicate handling, key design, and validation.\nData classification, sensitivity, secure access, Azure Key Vault, and Microsoft Entra ID.\nClear technical documentation and disciplined change-control practices.\nSecondary/Developing Skills:\nMicrosoft Fabric, including Data Factory, OneLake, Lakehouse, Warehouse, notebooks, pipelines, and semantic models.\nPower BI semantic models and downstream analytical consumption.\nMaster Data Management concepts and Profisee.\nReal-time and event-driven data processing where required by the platform roadmap.\n\nAbility to move between solution delivery and operational support without losing engineering discipline.\nAbility to communicate clearly with technical and non-technical stakeholders and turn ambiguous issues into actionable engineering work.\nStrong judgement when assessing release readiness, production risk, data correctness, and appropriate escalation.\nComfort working across time zones and coordinating handoffs among globally distributed engineering, QA, analysis, and architecture teams.\nA collaborative approach to coaching others, sharing context, and improving repeatability through standards and automation.\nBilingualism (french and English)\n* 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.\nRewards & benefits\nExplore the rewards and benefits that help you thrive - at every stage of your life and your career at AtkinsRéalis in Canada.\nEnjoy competitive compensation, employee recognition, and a brilliant range of flexible benefits you can tailor to your health, wellbeing, financial and lifestyle needs.\nMake the most of diverse opportunities for training and professional development to grow your skills and expertise.\nAnd take advantage of our hybrid working culture and generous time-off policies to balance a fulfilling career with your personal life.\nBe rewarded. Find out more.\nAbout AtkinsRéalis\nWe'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.\nFind out more.\nAdditional information\nAtkinsRéalis 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.\nBy submitting your personal information to AtkinsRéalis, you confirm that you have read and accept our Privacy Notice.\nAppropriate 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).\nSuccessful 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.\nExpected 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.\nWorker Type\nEmployeeJob Type\nRegularAt AtkinsRéalis, we seek to hire individuals with diverse characteristics, backgrounds and perspectives. 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