Senior Platform Engineer MAD Team

Bij Albert Heijn krijg je als Senior Platform Engineer in het MAD team de kans om te bouwen aan een veilig, compliant en high-performing dataplatform waarmee product- en datateams het maximale uit hun data kunnen halen.

Albert Heijn is accelerating in becoming a Food & Tech company. That is where AH Technology comes into the picture. With a focus on Data, Digital and Tech, we at Albert Heijn strive to deliver high-quality products where technology plays an important role.

Within AH Technology, the Managed Azure Databricks (MAD) team provides a secure, compliant and high-performing data platform so product and data teams can unlock the full potential of their data.

Your new team and office

You'll join a small, senior engineering team (around 6 people) with full ownership of the platform: infrastructure as code, CI/CD and platform automation, end to end.

It's not a specialist role; in the same week you might be deep in Terraform, writing Python automation, and reworking a CI/CD pipeline.

The platform you'll help run isn't a single, contained system: it's used across multiple brands and regions, with other teams building on top of it and depending on its stability.

That brings real complexity, inter-team dependencies, shared standards across business units, and growing challenges:

• Improving deployment stability, reliability and speed
• Scaling our platform to support Europe and, eventually, a global footprint
• Supporting a much larger scale of usage than today, without losing the guardrails that keep it safe

At Albert Heijn, you team up with inspiring peers in the data, digital and tech domains. You will work in the MAD team, part of the Data Differentiation Platform, building and operating our Azure-based Databricks platform so that data scientists and engineers across the company can work safely and efficiently at scale.

What will you do?

As a Senior Platform Engineer in the MAD team you:

• Build & operate our Azure-based platform at scale, applying platform engineering principles to deliver reliable, self-service capabilities for our data and product teams.
• Design and maintain CI/CD workflows and Linux-based tooling, ensuring smooth, automated and secure delivery across the MAD landscape.
• Innovate on architecture, reliability and security, proactively identifying improvements and automating processes to drive efficiency.
• Manage infrastructure through a GitOps way of working, treating Git as the single source of truth with versioned, reviewable and auditable changes.
• Enable engineers and stakeholders by providing clear guardrails, documentation and guidance on how to use our platform safely and effectively.
• Help the platform scale beyond its current footprint, as we grow from a single-region setup towards supporting Europe and, eventually, a global user base.

The recipe for maximum impact.

• 5+ years of experience as a Software Engineer / DevOps Engineer, including real production ownership.
• 3+ years of hands-on Infrastructure as Code experience (e.g. Terraform), building reusable, versioned, maintainable modules across multiple environments.
• Strong Python: typed, tested, and comfortable building automation against cloud REST APIs/SDKs.
• Deep cloud knowledge (preferably Azure): networking (private endpoints, NSGs, hub-spoke), storage, IAM/RBAC (Entra ID).
• Strong communication skills and happy to support users on our platform.
• CI/CD pipeline engineering experience (e.g. GitHub Actions): able to design reusable pipelines and workflows that run on Linux runners.
• A generalist mindset: happy moving between infrastructure, automation and CI/CD.

Nice to have

• Databricks administration experience, understanding of concepts such as Delta Lake and Unity Catalog.
• Familiarity with observability and structured logging.