Azure Data Platform Engineer for Analytics & AI Automation

PostNord Group AB

Solna kommun

On-site

SEK 900,000 - 1,200,000

Full time

14 days+

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Job summary

PostNord Group AB is seeking an experienced Platform Engineer to design, build, and operate a modern cloud-based data platform that supports analytics, AI, and data product development. You will manage Azure Databricks, Data Lake, networking, and platform services, with IaC via Terraform and CI/CD pipelines, while driving reliability, security, and cost efficiency.

You will collaborate with Data Architects, Enterprise Architects, and Security teams to evolve scalable, secure cloud infrastructure

Qualifications

  • Bachelor’s degree in computer science, information technology, engineering, or related field.
  • 5+ years in Platform Engineering, Cloud Engineering, SRE, or similar roles.
  • Proven experience designing and operating secure, scalable Azure infrastructure.
  • Experience supporting modern data platforms, analytics, AI, and ML workloads.

Responsibilities

  • Design, build and maintain the infrastructure for analytics, reporting, AI, and data product development.
  • Implement infrastructure as code using Terraform; build and maintain CI/CD pipelines.
  • Establish platform standards, observability, and secure, cost-efficient operations.
  • Troubleshoot complex issues, support disaster recovery, and enable AI/ML capabilities through platform engineering practices.

Skills

Azure
Terraform
Kubernetes
CI/CD
Python
PowerShell
Bash

Education

Bachelor’s degree (CS/IT/Engineering)

Tools

Azure Databricks
Azure Data Lake
Git
Docker
Entra ID

Job description

PostNord Group AB is seeking an experienced Platform Engineer to design, build, and operate a modern cloud-based data platform that supports analytics, AI, and data product development. You will manage Azure Databricks, Data Lake, networking, and platform services, with IaC via Terraform and CI/CD pipelines, while driving reliability, security, and cost efficiency.

You will collaborate with Data Architects, Enterprise Architects, and Security teams to evolve scalable, secure cloud infrastructure

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