Data Platform Engineer, Solna

PostNord; Solna kommun; On-site; SEK 900,000 - 1,200,000; Full time

Job summary

PostNord is seeking a Data Platform Engineer to design, build and operate a modern Azure and Databricks-based data platform that enables analytics, AI, and data-driven decision making at scale.

You will implement Infrastructure as Code with Terraform, maintain CI/CD pipelines, optimize cloud networking and security, and partner with Data Architects, Data Engineers, Enterprise Architects, and Security teams to ensure reliability, governance, and cost efficiency.

Qualifications

• Bachelor's degree in a related field.
• 5+ years in Platform/Cloud/Infrastructure/SRE roles.
• Proven experience designing, implementing, and operating secure, scalable Azure infrastructure.
• Experience supporting modern data platforms, analytics, AI, and ML workloads.

Responsibilities

• Design, build, and maintain the Azure/Databricks-based data platform for analytics, AI, and data products.
• Implement Infrastructure as Code using Terraform and maintain CI/CD pipelines.
• Develop observability frameworks and ensure platform health, performance, and cost efficiency.
• Collaborate with Data Architects, Enterprise Architects, and Security teams to evolve cloud platform standards.
• Support disaster recovery planning and enable ML/AI capabilities through robust platform engineering.

Skills

Azure Databricks

Terraform

CI/CD

Kubernetes

Docker

Python

PowerShell

Education

Bachelor’s degree in computer science, IT, engineering, or related field

Tools

Azure Databricks Administration

Azure Data Lake

Git

CI/CD pipelines

Terraform

Kubernetes

Docker

Entra ID/IAM

Job description

Are you passionate about the infrastructure of scalable, secure, and future‑proof data platforms that power analytics, AI, and business‑critical insights? Do you thrive in environments where automation, cloud technologies, and platform reliability are at the core of everything you do? We're looking for a Data Platform Engineer who wants to play a pivotal role in shaping and operating a modern Azure and Databricks‑based data platform that enables data‑driven decision‑making, advanced analytics, and AI innovation at scale.

About The Role

In this role, you will be responsible for designing, building, and maintaining the infrastructure that supports analytics, reporting, AI, and data product development. You will help establish platform standards, develop automation capabilities, and ensure the platform remains secure, scalable, and resilient. Working closely with Data Architects, Data Engineers, Enterprise Architects, and Security teams, you will drive the evolution of a modern cloud‑based platform that enables seamless data ingestion, processing, and consumption across the organization.

As a key member of the team, you will manage and optimize Azure Databricks, Azure Data Lake, networking, and supporting platform services. You will implement Infrastructure as Code using Terraform, build and maintain CI/CD pipelines, and create observability frameworks that provide transparency into platform health, performance, and cost efficiency. You will also play an important role in troubleshooting complex issues, improving operational excellence, supporting disaster recovery planning, and enabling AI and machine learning capabilities through robust platform engineering practices.

Beyond the technical responsibilities, you will act as a trusted subject matter expert, helping engineering teams adopt cloud platform best practices while continuously driving improvements in reliability, security, governance, and operational efficiency.

Qualifications

• Bachelor’s degree in computer science, Information Technology, Engineering, or a related field.
• 5+ years of experience in Platform Engineering, Cloud Engineering, Infrastructure Engineering, Site Reliability Engineering (SRE), or similar roles.
• Proven experience designing, implementing, and operating secure, scalable, and resilient cloud infrastructure in Azure.
• Experience supporting modern data platforms, analytics, AI, and machine learning workloads.

Key Technical Skills

• Azure cloud and data platforms, including Azure Databricks Administration, Azure Data Lake, data integration services, and analytics workloads.
• Infrastructure as Code and platform automation, including Terraform, Git, CI/CD, automated provisioning, and configuration management.
• Containerized and cloud‑native environments, including Kubernetes and Docker.
• Cloud networking and identity management, including Azure Networking, Entra ID/IAM, DNS, connectivity, private networking, routing, and firewalls.
• Security, compliance, and governance, including implementation of security controls and governance frameworks within regulated environments.
• Observability and platform operations, including monitoring, troubleshooting, high availability, platform reliability, and cost optimization (FinOps).
• Scripting and automation, using Python, PowerShell, or Bash.

Nice to have

• Microsoft Purview and Apache Airflow.
• MLOps and Azure AI Services.
• Multi‑cloud environments.
• Azure Solutions Architect, Azure Administrator, or Databricks Platform Administrator certifications.
• Experience from the logistics industry.

Language Requirements

• Fluent in English, both written and spoken.
• Swedish, Danish, Finnish, or Norwegian is considered an advantage.

Who you are

You are a curious and proactive engineer who enjoys solving complex challenges and building reliable platforms that create value at scale. With a strong analytical mindset and a passion for troubleshooting, you thrive in environments where continuous improvement, automation, and operational excellence are key. You take a structured approach to problem‑solving, have a natural sense of ownership, and are committed to delivering high‑quality solutions. At the same time, you're a collaborative team player who builds strong relationships across Engineering, Architecture, Security, and Business teams, enabling effective stakeholder engagement and driving results through cross‑functional collaboration.