Hybrid Platform Engineer - Data & AI Platform

PostNL; Den Haag; Hybrid; EUR 65,000 - 90,000; Full time

Benefits offered by this job

Hybrid work

€45 net home office allowance

Laptop and smartphone

8% holiday allowance

25 vacation days

Travel expense reimbursement

Pension scheme

Learning and development opportunities

Job summary

PostNL is seeking a Software Engineer for its Data, Analytics & AI Platform team. You will build the cloud platform, software and tooling to accelerate data and AI solutions for colleagues across the organisation.

You’ll work on a major platform transition to a Databricks-based future while continuing to leverage AWS. The role blends development with platform engineering, enabling scalable, reliable data and AI tooling across logistics and planning.

Qualifications

• You work with Python and, ideally, TypeScript.
• Experience with Infrastructure as Code (IaC) tools such as AWS CDK and Terraform.
• Familiarity with Git and modern software development practices.
• Experience with cloud platforms such as AWS and/or Databricks.
• CI/CD tooling like GitHub Actions is a plus.

Responsibilities

• Build and maintain the software platform enabling engineering teams to deploy data and AI solutions.
• Develop platform services, deployment pipelines, and internal tooling.
• Automate cloud infrastructure setup using IaC (Terraform, AWS CDK).
• Collaborate with Data Scientists, Analytics Engineers and AI Engineers to translate needs into reusable platform solutions.

Education

Bachelor's or Master's in Computer Science, Software Engineering, Data Science or related field

Tools

Python

TypeScript

AWS

Databricks

Terraform

AWS CDK

GitHub Actions

Job description

PostNL is seeking a Software Engineer for its Data, Analytics & AI Platform team. You will build the cloud platform, software and tooling to accelerate data and AI solutions for colleagues across the organisation.

You’ll work on a major platform transition to a Databricks-based future while continuing to leverage AWS. The role blends development with platform engineering, enabling scalable, reliable data and AI tooling across logistics and planning.