<p><strong>Location</strong><br>Our Data Engineer will be an integral part of our R&D team.
This role is based remotely as a full-time employee in the UK, Ireland, Estonia, the Netherlands, Sweden and Israel.
We are also open to contractors in Eastern Europe and Portugal.
</p> <p><strong>Who We Are</strong><br>DoiT is a global technology company that works with cloud-driven organizations to leverage the cloud to drive business growth and innovation.
We combine data, technology, and human expertise to ensure our customers operate in a well-architected and scalable state - from planning to production.
</p> <p>Delivering DoiT Cloud Intelligence, the only solution that integrates advanced technology with human intelligence, we help our customers solve complex multicloud problems and drive efficiency.
</p> <p>With decades of multicloud experience, we have specializations in Kubernetes, GenAI, CloudOps, and more.
An award-winning strategic partner of AWS, Google Cloud, and Microsoft Azure, we work alongside more than 4,000 customers worldwide.
</p> <p><strong>The Opportunity</strong><br>Cloud spend is no longer just AWS, Google Cloud and Azure.
Our customers now run a large and growing share of their technology spend through SaaS platforms, data clouds and AI vendors - each with its own billing API, its own pricing model, and its own idea of what a "line item" means.
DoiT's Integrations Framework is what turns that into a single, trustworthy picture of cost.
</p> <p>We're hiring a Data Engineer to own the data side of this.
Your mandate is expanding visibility - bringing more of a customer's spend into the platform, from more vendors, at a quality bar people can make financial decisions on.
The vendor landscape moves constantly, so this is genuine, permanent ownership with a short line from your work to what customers see.
</p> <p>You'll work AI-augmented from day one.
We expect you to use AI across your whole workflow, not as an occasional autocomplete, and to have real.