Skyline Enterprises is a global leader in travel and tourism — operating gravity-powered attractions across Australasia, Asia, and North America. Behind the scenes, a modern data platform keeps the whole operation running. This is the role that owns it.

About the role
As Senior Data Engineer, you'll design, build, operate and continuously improve Skyline's enterprise data platform — ensuring trusted, secure and scalable data services that underpin reporting, analytics, automation and AI capabilities across the Group. You'll report to the GM of ICT and work closely with the Insights, Analytics and IT teams, as well as business stakeholders across the organisation. This is a hands-on engineering role with genuine platform ownership and a clear mandate to build something that lasts.

What you'll own
1 · Platform Reliability & Operations

• Own availability, performance, security and integrity of production data services across Fabric, Azure SQL, CosmosDB and Accesso Horizon
• Implement monitoring, alerting, telemetry and operational dashboards — track SLIs, SLOs and platform KPIs
• Manage DEV / TEST / UAT / PROD environments with CI/CD, Infrastructure as Code, and controlled deployment practices
• Tune query performance, optimise pipelines, and keep cloud costs in check

2 · Architecture, Governance & Security

• Define and maintain the enterprise data platform architecture, roadmap, and engineering standards
• Design and maintain scalable Lakehouse architecture supporting medallion layering, dimensional modelling, and semantic model delivery
• Implement and maintain data access controls, Row Level Security, and auditability across the platform

3 · Pipeline Engineering, Warehousing & Modelling

• Design, build and maintain ETL/ELT pipelines across Skyline's enterprise sources — Horizon, Roller, D365, InTouch, Braze, Azure SQL, CosmosDB, and APIs
• Develop and maintain shared Fabric / Power BI semantic models in line with business-defined KPI logic and governance standards
• Implement automated data quality validation, reconciliation and exception reporting — trusted data is non-negotiable

  
What we're looking for

• 7+ years in data engineering, data platform engineering, or cloud data platforms
• Strong hands-on experience with Microsoft Azure data services — Azure Data Factory, Microsoft Fabric, Azure SQL, CosmosDB, and Lakehouse architectures
• Advanced SQL, performance tuning, dimensional modelling, and semantic model design
• Production platform experience — monitoring, incident management, root cause analysis, and operational support
• CI/CD, source control and DevOps practices for data platform artefacts
• Ability to translate business requirements into robust technical solutions and communicate clearly across technical and non-technical audiences

Nice to have
Microsoft Fabric Analytics Engineer Associate (DP-600) or Azure Data Engineer Associate (DP-203) · Experience in a multi-site or global data environment · Infrastructure as Code and modern DevOps practices · Relevant degree in Computer Science, Data Engineering or related discipline

**This role will ideally be based in Queenstown, however for the right candidate, this could be open to remote with occasional travels to Queenstown.

If you're interested in having a conversation about this role or other similar opportunities, please feel free to reach out to me: marian@rwa.co.nz

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