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 of skilled data engineers building sophisticated data pipelines connecting a variety of systems through streaming technologies, cloud services, and microservices.

As a Senior Data Engineer, you’ll play a key role in shaping the infrastructure powering our data ecosystem. You’ll design, build, and maintain scalable data pipelines and automation processes, enabling reliable, efficient, and observable systems.

This is a hands-on role that combines infrastructure, data, and DevOps expertise - perfect for someone who thrives on learning new technologies, leading initiatives, and driving excellence in system design and delivery.

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.

• 5 years of experience as a Data Engineer, Backend Developer, or DevOps.
• 5+ years of experience with Python/Java microservices (Flask, Spring, Dropwizard) and component testing.
• Deep understanding of Kubernetes, Docker, and container orchestration.
• Hands-on experience with CI/CD pipelines (e.g., Jenkins, GitHub Actions).
• Proven experience with Snowflake, MySQL, RDS, or similar databases.
• Familiarity with streaming systems(e.g., Kafka, FireHose), databases, or data pipelines.
• Self-learner, proactive, and passionate about improving systems and automation.
• Strong communication skills and a collaborative, team-oriented mindset.

Advantages:

• Experience with Kafka, Airflow or other data processing tools.
• Knowledge of Terraform, Pulumi, or other IaC frameworks.
• Familiarity with Datadog, Prometheus or other observability tools.
• Experience with AWS (Lambda, EKS, EC2, Step functions, SQS).
• Working with or building AI-driven tools.