Senior data engineer who designs, builds, and operates governed data products on Microsoft Fabric, turning Service Operations data (ServiceNow, CMDB, incidents) into trusted analytics, reporting, and AI insights. Owns data architecture, pipelines, and Power BI semantic models, sets engineering standards, and coaches junior engineers.
Overview
In this role you design, build and operate governed data products on Microsoft Fabric to transform Operations data into trusted analytics, reporting and AI insights. You will set engineering standards, guide the team, and ensure secure, scalable data pipelines and semantic models. You’ll work closely with stakeholders to support Service Operations use cases at scale and drive responsible AI-driven delivery. This is a mission-driven opportunity to shape data architecture across a global air travel ecosystem.
Compensaciones / Beneficios- Flex Week: work from home up to 2 days/week
- Flex Day: flexible workday
- Flex-Location: up to 30 days/year remote/worldwide
- Employee Wellbeing: 24/7 EAP and Champion Health
- Professional Development: LinkedIn Learning
- Competitive benefits tailored to locale
Responsabilidades- Design and evolve end-to-end Microsoft Fabric data architectures (ingestion, medallion/layered models, lakehouse/warehouse layers, semantic models)
- Own capacity planning, workspace management, access controls and production environments for Fabric
- Develop and support lakehouses, warehouses, pipelines, notebooks, Spark workloads and reusable components
- Create scalable Power BI semantic models for Service Operations data (e.g., ServiceNow Asset management, CMDB, Incident management)
- Build metadata-driven ingestion/integration frameworks using SQL, Python/PySpark, APIs and enterprise connectors
- Implement CI/CD, automated testing, monitoring, alerting, recovery and documentation
- Embed data quality, lineage, governance, privacy and security controls throughout data lifecycle
- Apply ITIL, ServiceNow CMDB and CSDM knowledge to preserve operational meaning and relationships
- Use AI responsibly to improve engineering delivery and prototype high-value Service Operations use cases
- Advise senior stakeholders, lead technical design and coach junior engineers without formal people-management responsibility
Requisitos principales- 5+ years in data engineering/analytics engineering or data-platform roles with production ownership
- Hands-on delivery with Microsoft Fabric or comparable modern lakehouse; Fabric expertise strongly preferred
- Experience with enterprise data and semantic modelling, shared-platform ops, CI/CD and technical design leadership
- ServiceNow, CMDB/CSDM, IT Service Management or enterprise operations experience desirable
- clear communication
- stakeholder influence
- pragmatic problem solving
- Microsoft Fabric administration (OneLake, lakehouse/warehouse patterns)
- Data Factory, notebooks, Spark
- Power BI semantic models, DAX