Data Engineer

A fast-growing aviation technology platform is entering an exciting phase of expansion, with strong demand from new customers driving significant investment in its technology platform and engineering teams.

This is an opportunity to join at an important point in that growth journey. You'll help build a new generation of data infrastructure from the ground up, supporting a multi-tenant platform that is scaling rapidly across a growing international customer base. With continued customer demand and further platform expansion ahead, this offers considerably more longevity than a typical 6-month contract.

The organisation is also firmly committed to Microsoft Azure, making this an excellent opportunity for an Azure specialist to deepen their expertise within a genuinely Azure-first environment. You'll have significant influence over how the platform evolves as it scales.

Why You'll Love It

• Join a high-growth technology environment where increasing customer demand is directly driving engineering investment.
• Build greenfield data capabilities on a modern, Azure-first platform, with genuine architectural influence.
• Secure a contract with strong long-term potential as the platform and customer base continue to expand.

What You'll Do

• Build scalable data solutions using Azure Data Factory, Databricks, Azure Functions, Blob Storage and REST APIs.
• Shape the architecture of a large-scale multi-tenant platform, focusing on scalability, security, tenant isolation and reusable data capabilities.
• Improve automation and deployment through Terraform, ARM, GitHub Actions / Azure DevOps and modern CI/CD practices.

What You'll Bring

• 3–5+ years of Azure Data Factory and Databricks experience with strong hands-on Azure capability.
• Strong experience across data engineering and architecture, ideally within complex cloud environments.
• Proven experience with multi-tenant data architecture, particularly scalability, security and tenant isolation.
• Duration: 6 months initially, with strong long-term extension potential
• Working model: Fully remote across Europe