Senior Data Engineer

Who are we?

Skai (formerly Kenshoo) is a leading omnichannel marketing platform that leverages advanced AI and machine learning to deliver intelligent solutions based on data with performance media, enabling smarter decision-making, increased efficiency, and maximized returns - Revenue enabler for businesses around the world. Its partners include Google, Meta, Amazon, and Microsoft and more. ~$7 billion in ad spending is managed on the SkaiTM platform every year.

Established in 2006, We’re 700 employees strong. We work hybrid with a great home/ office work mix.

What will you do?

Join a team that builds and operates the core data services behind Skai’s products.

As a Senior Data Engineer, you will design, build and maintain:

• Data pipelines and data services
• Microservices and internal APIs
• The infrastructure and tooling that keep our data systems reliable, observable, and scalable

This is a hands-on role that combines Data Engineering, Backend Development and DevOps.

It’s ideal for someone who enjoys working across layers: from schema design and data flows, through microservice code, to Kubernetes, CI/CD and observability.

Responsibilities:

• Design and maintain robust infrastructure for large-scale data processing and streaming systems.
• Develop automation and deployment processes using CI/CD pipelines.
• Build and operate Kubernetes-based environments and containerized workloads.
• Collaborate with data engineers to optimize performance, cost, and reliability of data platforms.
• Design and develop REST-API microservices.
• Troubleshoot and resolve complex issues in production and staging environments.
• Drive initiatives that enhance observability, scalability, and developer productivity.
• Lead by example - share knowledge, mentor teammates, and promote technical best practices.