Data Platform Engineer (AI Platform)

Build and operate the foundation of a global AI-powered data platform

Location: UK (preferred), the Netherlands, or Belgium

Are you a Data Platform Engineer who thrives on building reliable, scalable platforms for data and AI workloads? Do you enjoy working at the intersection of platform engineering, DataOps, and MLOps while ensuring that AI systems run securely and at scale?

We are looking for a Data Platform Engineer (AI & ML Infrastructure) to take ownership of the reliability, scalability, and observability of our global data platform. In this role, you will be responsible for the operational backbone of our Headless Data Architecture (HDA), ensuring that data and AI pipelines run seamlessly across regions and environments.

Your impact

As a Data Platform Engineer (AI & ML Infrastructure), you play a critical role in helping us achieve our goal of operating as an AI-powered Workforce-as-a-Service platform. You ensure that the underlying data and AI infrastructure is stable, scalable, and ready to support advanced analytics and AI use cases across Europe, the UK, the US, and APAC.

You are responsible for the day-to-day reliability of the platform—monitoring pipelines, resolving incidents, and continuously improving performance and resilience. At the same time, you drive the platform’s evolution through automation, infrastructure-as-code, and cost optimization.

You work on a modern data and AI stack built on Databricks and Azure, managing everything from data ingestion pipelines and governance in Unity Catalog to platform-wide observability. You ensure that data flows—from raw ingestion to AI-serving layers—are robust, traceable, and production-ready.

A key part of your role is enabling AI and ML workloads at scale. You support model evaluation frameworks, manage the prompt lifecycle, and implement safeguards to ensure that AI systems are safe, reliable, and compliant in production.

You work closely with data engineers, AI/ML engineers, and governance stakeholders to ensure that the platform is not only high-performing, but also future-proof, secure, and scalable.

What you will do

• Operate and maintain the end-to-end data and AI platform on Databricks and Azure

• Monitor, troubleshoot, and resolve production issues across data and ML pipelines

• Manage Unity Catalog governance, access control, and data sharing structures

• Build and maintain data ingestion and integration pipelines (e.g., using SnapLogic)

• Implement observability frameworks using tools such as OpenTelemetry and Grafana

• Automate infrastructure provisioning using Infrastructure-as-Code (e.g., Terraform)

• Optimize compute usage, scaling policies, and overall platform cost efficiency

• Support AI/ML evaluation frameworks and model validation pipelines

• Manage the lifecycle, versioning, and deployment of prompts across environments

• Implement AI guardrails, safety layers, and monitoring for production systems

• Contribute to internal tooling and platform acceleration initiatives

• Collaborate across data, platform, and AI teams to continuously improve the platform

About the role

You will be part of a growing Data & AI division that plays a central role in the transformation of HeadFirst Group x Impellam into a truly data-driven organization.

This role is central to that ambition—ensuring that everything built on top of the platform, from analytics to AI products, is reliable, secure, and scalable.

You work with modern technologies such as Databricks, Azure, and advanced observability tools, while contributing directly to the next generation of AI-enabled platform engineering.