Senior Platform Engineer - Azure Databricks Platform (MAD Team)

Albert Heijn Group; Netherlands; Hybrid; EUR 90,000 - 106,000; Full time

Benefits offered by this job

Hybrid work model

AH Tech Academy

Pension plan

Travel allowance

Staff discount

Mijn Albert Heijn Premium

Job summary

Albert Heijn, a leading Dutch retailer, seeks a Senior Platform Engineer to own and operate our Azure-based Databricks platform at scale. You’ll build CI/CD pipelines, automate tooling, and drive reliability across teams in a hybrid work setting near Zaandam.

You’ll join the MAD team within the Data Differentiation Platform, collaborating with data scientists and engineers to enable scalable, safe data workflows and multi-region support.

Qualifications

• 5+ years of experience as a Software Engineer / DevOps Engineer with production ownership.
• 3+ years of hands-on Infrastructure as Code (e.g. Terraform) building modular code.
• Strong Python, automation against cloud REST APIs/SDKs, typed and tested.
• Deep Azure knowledge: networking, storage, IAM/RBAC; security-minded.
• Strong communication; supports users on the platform; CI/CD engineering.
• Generalist mindset, comfortable moving between infra, automation and CI/CD.

Responsibilities

• Build & operate our Azure-based platform at scale with self-service capabilities.
• Design and maintain CI/CD workflows and Linux tooling for secure delivery.
• Innovate on architecture, reliability and security; automate improvements.
• Manage infrastructure via GitOps; versioned, reviewable changes.
• Enable engineers with clear guardrails, docs and guidance for safe use.
• Help the platform scale from single-region to Europe and globally.

Skills

Software Engineering

DevOps

Python

CI/CD

GitHub Actions

Azure

Terraform

Infrastructure as Code

Tools

Terraform

GitHub Actions

Azure

Job description

Albert Heijn, a leading Dutch retailer, seeks a Senior Platform Engineer to own and operate our Azure-based Databricks platform at scale. You’ll build CI/CD pipelines, automate tooling, and drive reliability across teams in a hybrid work setting near Zaandam.

You’ll join the MAD team within the Data Differentiation Platform, collaborating with data scientists and engineers to enable scalable, safe data workflows and multi-region support.