Senior Data Engineer​/Expert​/Specialist

We're the team that keeps airports moving, airlines flying smoothly, and borders open. Our tech and communication innovations are the secret behind the success of the world's air travel industry.

You'll find us at 95% of international hubs. We partner closely with over 2,500 transportation and government clients, each with their own unique needs and challenges. Our goal is to find fresh solutions and cutting-edge tech to make their operations run like clockwork. Want to be a part of something big?

Are you ready to love your job? The adventure begins right here, with you, at SITA.

The Senior Data Engineer for Service Operations owns the design, delivery and operation of secure, reliable and governed data products on Microsoft Fabric. The role transforms complex Operations data into trusted information for analytics, reporting and AI, while setting engineering standards and providing technical guidance across the team.

• Design and evolve end-to-end Microsoft Fabric data architectures, including ingestion, medallion/layered data processing, Lakehouse/Warehouse serving layers, and semantic models
  • Own and optimize Microsoft Fabric capacities, work spaces, access controls and production environments.
  • Design and support lake houses, warehouses, pipelines, notebooks, Spark workloads and reusable data-engineering components.
  • Build scalable data and Power BI semantic models for Service Operations data (e.g. Service Now Asset management, CMDB, Incident management).
  • Develop/maintain metadata-driven ingestion and integration frameworks using SQL, Python/PySpark, APIs and enterprise connectors.
  • Implement CI/CD, automated testing, monitoring, alerting, recovery and technical documentation.
• Embed data quality, lineage, governance, privacy and security controls throughout the data lifecycle.
• Apply ITIL, Service Now CMDB and CSDM knowledge to preserve operational meaning and relationship integrity.
• 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 requiring formal people-management responsibility.

• At least 5 years in data engineering, analytics engineering or data-platform roles, including ownership of production solutions.
• Hands-on delivery with Microsoft Fabric or a comparable modern lakehouse platform;
  Fabric expertise is strongly preferred.
• Experience with enterprise data and semantic modelling, shared-platform operations, CI/CD and technical design leadership.
• Service Now, CMDB/CSDM, IT Service Management or enterprise operations experience is highly desirable.

• Microsoft data platform: Fabric administration, One Lake, lakehouse and warehouse patterns, Data Factory, notebooks, Spark, Power BI semantic models, DAX and performance optimization.
• Engineering: Advanced SQL; strong Python or PySpark; dimensional and relational modelling; APIs; metadata-driven pipelines;
  Git/Git Hub; CI/CD; testing and release management.
• Operations and data governance: Monitoring, troubleshooting, resilience, cost optimization, RBAC, managed identities, data quality, metadata, lineage and auditability.
• Domain: Working knowledge of ITIL, Service Operations, Service Now CMDB/CSDM and responsible AI.
• Leadership: Clear communication, stakeholder influence, pragmatic problem solving, coaching and end-to-end ownership.

• Data Engineering and Platform Operations
• Data Architecture and Modelling
• Software Engineering and Dev Ops
• Data Governance, Quality and Security
• Technical Leadership and Innovation

• Bachelor’s degree or equivalent experience in Computer Science, Data Engineering, Software Engineering, Information Systems, Mathematics or a related discipline.
• Microsoft Fabric, Power BI, Azure, ITIL or Service Now CMDB/CSDM certification is an advantage.

We're all about diversity. We operate in 200 countries and speak 60 different languages and cultures. We're really proud of our inclusive environment. Our offices are comfortable and fun places to work, and we make sure you get to work from home too. Find out what it's like to join our team and take a step closer to your best life ever.

Flex Week: Work from home up to 2 days/week (depending on your team's needs)

Flex Day: Make your workday suit your life and plans.

Flex
- Location:

Take up to 30 days a year to work from any location in the world.

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