Deployment Specialist deploying UJET’s AI - powered cloud contact - center solutions. Handling APIs, integrations, code, virtual agents, troubleshooting, and customer delivery.
About the role
- Staff Developer leading Azure data platform integration, operations, and governance for AtkinsRéalis’ engineering and nuclear services. Driving Orb platform delivery, releases, incident resolution, and technical coaching.
Responsibilities
- Lead complex engineering work for the Orb enterprise data platform
- Deliver end-to-end data engineering changes across source-to-raw, raw-to-integrated, integrated-to-curated, and related data flows
- Design, build, review, test, and optimize Azure Data Factory pipelines, SQL transformations, Azure Functions, curated datasets, and orchestration
- Troubleshoot pipeline failures, source-data issues, dependency problems, duplicate records, key design issues, refresh failures, and configuration defects
- Act as senior technical escalation point for incidents and production issues
- Complete root-cause analysis, implement fixes, validate outcomes, and coordinate 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 checks
- Monitor Azure and platform logs and recommend improvements to schedules, dependencies, batch processing, retries, and load strategies
- Apply data classification, sensitivity, access, and governance requirements across data assets
- Support data modelling and data quality decisions, including keys, mapping rules, metadata, matching logic, and duplicate handling
- Partner with analysts, architects, QA analysts, product owners, business stakeholders, and technical teams
- Provide technical coaching, code-review feedback, troubleshooting support, and knowledge transfer
- Maintain mapping specifications, deployment plans, change records, operational evidence, and support handover documentation
- Contribute to engineering templates, automation, maintainability improvements, and migration toward Microsoft Fabric
- Coordinate DEV, UAT, pre-production, and production deployments
- Refresh or rerun pipelines, perform technical checks, and support controlled recovery activities
- Investigate failed loads, timeouts, API limits, duplicates, missing data, configuration issues, and cross-environment differences
- Unblock analysts and engineers and preserve continuity across global handoffs
Requirements
- Significant hands-on experience delivering and supporting enterprise data platforms in Microsoft Azure
- 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
- 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
- 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
- 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 while maintaining engineering discipline
- Ability to communicate clearly with technical and non-technical stakeholders
- Strong judgement when assessing release readiness, production risk, data correctness, and escalation
- Comfort working across time zones and coordinating global handoffs
- Collaborative approach to coaching, knowledge sharing, standards, and automation
- Bilingualism in French and English
- Knowledge of English is required for collaboration with Canadian or global leadership team members outside Québec
Benefits
- 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 throughout the recruitment and hiring process as required by Company policy and AODA
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