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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and implementing enterprise-scale analytics solutions using Microsoft Fabric, Azure services, and data integration frameworks. Proficient in data governance, automation, and building operational reporting solutions with a strong focus on performance optimization and compliance.
Highest-signal resume keywords
Microsoft FabricData EngineeringSQLPython/PySparkAzure Logic Apps
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Dataflow Gen2NotebooksSemantic ModelsDirect LakeFabric PipelinesEvent StreamsData LakesKPI FrameworksREST APIsInfrastructure as Code
Tools & Technologies
Power BIAzure DevOpsPower AutomatePower PlatformServiceNow
Certifications & Qualifications
Microsoft Fabric Analytics Engineer AssociateMicrosoft Power PlatformAzure Data Engineer AssociateAzure Solutions Architect Expert
Industry Keywords
Data GovernanceComplianceOperational ReportingAutomation EngineeringCloud Engineering
Tech Stack
Tools & technologiesAzureCloudPySparkPythonServiceNowSQLTerraform
About the role
Key responsibilities & impact- Design, build, and maintain enterprise-scale analytics solutions using Microsoft Fabric, OneLake, Lakehouse, and Medallion architecture patterns
- Develop and optimize scalable data ingestion frameworks using Fabric Pipelines, Dataflow Gen2, Notebooks, Mirroring, Event Streams, and Shortcuts
- Implement data integration across ADLS Gen2, Azure services, Dataverse, SaaS platforms, ServiceNow, Microsoft 365, and external cloud storage
- Manage Lakehouse environments, including data quality, governance, lifecycle management, and performance optimization
- Build semantic models, Direct Lake datasets, and Power BI solutions for executive, operational, and strategic reporting
- Design KPIs, operational metrics, trend analysis, root cause analysis, and business intelligence solutions
- Enable AI-driven use cases including AI Search, vector-based retrieval, cross-source correlation, predictive insights, and GenAI recommendations
- Implement data governance, security, lineage, auditing, and compliance controls
- Design and maintain cloud-native automation using Azure Logic Apps, Power Automate, Power Apps, and API-driven integration services
- Build workflow orchestration for operational processes, approvals, notifications, service requests, and security operations
- Develop event-driven automation using Fabric Event Streams, Logic Apps, APIs, webhooks, and cloud-native integration services
- Design integrations across Microsoft 365, ServiceNow, Azure, security platforms, CMDB solutions, inventory systems, and third-party SaaS applications
- Develop reusable integration frameworks, APIs, connectors, and data exchange services
- Build operational telemetry, log analytics, platform health, incident, request, and service management ingestion and analytics solutions
- Integrate analytics and automation with ServiceNow for incident management, request fulfillment, change management, approvals, and operational processes
- Implement automated ticket creation, escalations, notifications, exception management, and remediation
- Establish CI/CD, deployment standards, testing frameworks, monitoring, logging, and operational support processes
- Contribute to platform architecture, engineering standards, governance, resiliency, performance optimization, and operational readiness
- Partner with STS, Information Security, platform owners, business stakeholders, and technology teams to identify automation opportunities and drive continuous improvement
Requirements
What you’ll need- Bachelor's or Master's degree in Computer Science, Information Technology, Data Analytics, Engineering, or a related field
- 5+ years of experience in Data Engineering, Cloud Engineering, Automation Engineering, Analytics, Platform Engineering, or related technical disciplines
- Knowledge of security concepts, practices, and technologies, or prior experience supporting a Security or Information Security organization is highly desirable
- Hands-on experience with Fabric Data Factory, OneLake, Lakehouse, Dataflow Gen2, Notebooks, Semantic Models, Direct Lake, Fabric Pipelines, and Event Streams
- Strong proficiency in SQL and Python/PySpark
- Experience designing and implementing Bronze, Silver, and Gold data architectures
- Strong understanding of data modelling, dimensional modelling, semantic modelling, and Power BI best practices
- Experience working with Data Lakes and large-scale enterprise datasets
- Understanding of data governance, lineage, auditing, security controls, and compliance requirements
- Experience building executive dashboards, KPI frameworks, and operational reporting solutions
- Hands-on experience with Azure Logic Apps, Power Automate, and Power Platform solutions
- Experience developing enterprise integrations using REST APIs, JSON, webhooks, and API-driven architectures
- Experience integrating cloud services, SaaS applications, Microsoft 365, ServiceNow, and enterprise platforms
- Experience working with event-driven architectures and automation frameworks
- Experience with one or more of Azure Data Explorer (ADX), Azure Data Factory (ADF), Azure Functions, Azure Event Hub, Azure Service Bus, or ServiceNow Platform
- Experience with Azure DevOps, Git, CI/CD pipelines, and automated deployment processes
- Experience with Infrastructure as Code technologies such as Terraform, Bicep, or ARM templates
- Understanding of platform monitoring, observability, resiliency, and operational support best practices
- Microsoft Fabric Analytics Engineer Associate, Microsoft Power Platform, Azure Data Engineer Associate, Azure Solutions Architect Expert, or relevant analytics, integration, or automation certifications are preferred
Benefits
Comp & perks- Competitive remuneration package, with rewards for individual and team performance
- FlexEY flexible benefits covering holidays, health and well-being, insurance, savings, discounts, offers and promotions
- Flexible working support
- Career development support
- Support, coaching and feedback from engaging colleagues
- Opportunities to develop new skills and progress your career
- Freedom and flexibility to handle the role in a way that is right for you