Azure Cloud Engineer

Azure Cloud Engineer

Full-Time 60000 - 80000 € / year (est.) Home office (partial)
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At a Glance

  • Tasks: Design and build scalable Azure cloud infrastructure for global AI and data platforms.
  • Company: Join HeadFirst x Impellam, a leader in cloud-native solutions.
  • Benefits: Competitive salary, remote work options, and opportunities for professional growth.
  • Other info: Be part of a dynamic team driving innovation in a global environment.
  • Why this job: Shape the future of cloud technology while working with cutting-edge tools like Azure and Databricks.
  • Qualifications: 2-5+ years in Azure cloud engineering; experience with Terraform and Azure services.

The predicted salary is between 60000 - 80000 € per year.

Build and scale the cloud foundation behind our global AI and data platform. Are you an Azure Cloud Engineer who enjoys designing scalable cloud foundations and enabling engineering teams through secure, reusable infrastructure patterns? Do you thrive in modern cloud-native environments where automation, governance and platform scalability are central to the engineering strategy? We are looking for an Azure Cloud Engineer to join the Global Platform Team at HeadFirst x Impellam. In this role, you will design, build and maintain the cloud infrastructure foundation that enables our Headless Data Architecture (HDA) and Custom Apps Infrastructure (CA) to operate securely and at global scale.

Your impact: As an Azure Cloud Engineer, you play a key role in shaping the cloud foundation behind our global Workforce-as-a-Service (WaaS) platform. You work on the infrastructure layer that supports our data, AI and platform engineering capabilities across multiple regions. You contribute directly to our Headless Data Architecture (HDA), a modular and API-first data platform built on Azure and Databricks, as well as the surrounding Custom Apps Infrastructure (CA) that powers integrations, applications and operational workflows across the organisation. A core part of your role is designing scalable, secure and reusable Azure infrastructure patterns. You define and implement multi-region cloud architectures, standardise Infrastructure-as-Code practices and ensure teams can efficiently operate on a governed and future-proof platform. You collaborate closely with Platform Engineers, AIOps Engineers and Data Engineers to ensure that networking, security, storage and cloud operations fully support the scalability and reliability of the global data and AI platform. At the same time, you contribute to building a secure-by-default engineering ecosystem by embedding governance, identity management, disaster recovery and operational standards into every layer of the cloud platform.

What you will do:

  • Define and implement scalable multi-region Azure architecture patterns
  • Design and manage Azure networking including hub-spoke architectures, private connectivity and hybrid networking
  • Standardise resource organisation, tagging strategies and landing zone governance
  • Own Azure identity and access management including RBAC and managed identities
  • Define and enforce policy-as-code and cloud governance standards
  • Build and maintain reusable Terraform modules and infrastructure provisioning patterns
  • Enable engineering teams through self-service cloud infrastructure capabilities
  • Ensure secure connectivity between Databricks environments, integrations and global systems
  • Monitor and optimise cloud costs across storage, networking and compute workloads
  • Collaborate with Platform Engineers and Data Engineers on Databricks optimisation and operational improvements
  • Define and implement backup, failover and disaster recovery strategies
  • Support onboarding of teams onto standardised Azure platform patterns
  • Implement secure-by-default capabilities such as Key Vault integration, private endpoints and network isolation

About the role: You will be part of a growing Global Platform Team that is central to the transformation of HeadFirst x Impellam into a scalable, AI-powered and cloud-native organisation. Working with technologies such as Azure, Databricks and Terraform, you help build the cloud infrastructure foundation that enables Data, AI and Platform Engineering teams to operate efficiently and securely at global scale. This role offers a strong combination of cloud engineering, infrastructure architecture and exposure to modern platform engineering practices in an international environment.

What you bring:

  • 2–5+ years of hands-on experience in Azure cloud engineering or infrastructure roles
  • Strong experience with Azure platform services and Infrastructure-as-Code practices
  • Experience with Terraform or Bicep for reusable infrastructure provisioning
  • Strong understanding of Azure networking concepts including hub-spoke, private networking and zero-trust principles
  • Experience with Azure identity and access management, RBAC and managed identities
  • Familiarity with Azure Policy and governance frameworks
  • Experience with Azure PaaS services such as App Services, Functions and API Management
  • Experience with integration patterns using Azure Service Bus, Event Grid or Logic Apps
  • Familiarity with multi-region and multi-subscription Azure environments
  • Experience with infrastructure deployment pipelines such as GitHub Actions or Azure DevOps
  • Understanding of how data and AI platforms consume cloud infrastructure
  • Familiarity with Databricks networking and workspace deployments is a plus
  • Experience with observability tooling, Kubernetes or FinOps practices is a plus

What you offer as a professional:

  • Strong communication skills and the ability to translate platform requirements into scalable cloud solutions
  • A foundation-first mindset focused on scalability, governance and security
  • A structured and quality-driven approach to infrastructure and architecture
  • A collaborative mindset, working effectively across Platform, Data and AI teams
  • A pragmatic approach to balancing engineering standards with operational flexibility
  • A strong drive to continuously improve cloud engineering capabilities and platform reliability
  • Curiosity about modern cloud-native architectures and AI-enabled engineering environments

Azure Cloud Engineer employer: HeadFirst B.V.

At HeadFirst x Impellam, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. As an Azure Cloud Engineer, you will have the opportunity to work with cutting-edge technologies in a dynamic international environment, while benefiting from continuous professional development and a strong focus on employee well-being. Join us to contribute to our transformative journey towards a scalable, AI-powered cloud-native organisation, where your expertise will directly impact our global Workforce-as-a-Service platform.

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Contact Detail:

HeadFirst B.V. Recruiting Team

StudySmarter Expert Advice🀫

We think this is how you could land Azure Cloud Engineer

✨Tip Number 1

Network, network, network! Get out there and connect with people in the industry. Attend meetups, webinars, or even online forums related to Azure and cloud engineering. You never know who might have a lead on your dream job!

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your Azure projects, Terraform modules, or any cool cloud solutions you've built. This gives potential employers a tangible look at what you can do and sets you apart from the crowd.

✨Tip Number 3

Don’t just apply blindly! Tailor your approach for each role. Research the company and mention specific projects or values that resonate with you in your conversations. This shows genuine interest and can make a big difference.

✨Tip Number 4

Apply through our website! We love seeing candidates who take the initiative to engage directly with us. Plus, it’s a great way to ensure your application gets the attention it deserves. Let’s build the future of cloud together!

We think you need these skills to ace Azure Cloud Engineer

Azure Cloud Engineering
Infrastructure-as-Code
Terraform
Bicep
Azure Networking
Hub-Spoke Architecture
Private Connectivity

Some tips for your application 🫑

Tailor Your Application:Make sure to customise your application to highlight your experience with Azure and cloud engineering. We want to see how your skills align with the role, so don’t hold back on showcasing relevant projects or achievements!

Showcase Your Technical Skills:When writing your application, be specific about your hands-on experience with Azure services, Terraform, and networking concepts. We love seeing concrete examples of how you've implemented scalable and secure cloud solutions in the past.

Communicate Clearly:Use clear and concise language to explain your experience and how it relates to the job. We appreciate strong communication skills, so make sure your application reflects your ability to convey complex ideas simply.

Apply Through Our Website:We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you’re considered for the role without any hiccups!

How to prepare for a job interview at HeadFirst B.V.

✨Know Your Azure Inside Out

Make sure you brush up on your Azure knowledge before the interview. Familiarise yourself with key services like Azure Functions, App Services, and Databricks. Be ready to discuss how you've used these in past projects, especially in terms of scalability and security.

✨Showcase Your Infrastructure-as-Code Skills

Since this role heavily involves Infrastructure-as-Code, be prepared to talk about your experience with Terraform or Bicep. Bring examples of reusable modules you've created and how they improved efficiency for your team. This will demonstrate your hands-on expertise.

✨Understand Networking Concepts

Networking is crucial for this position, so make sure you can explain hub-spoke architectures and private connectivity. Be ready to discuss how you've implemented zero-trust principles in your previous roles, as this will show your understanding of secure cloud environments.

✨Collaborate and Communicate

This role requires working closely with various teams, so highlight your communication skills. Prepare examples of how you've collaborated with Platform Engineers or Data Engineers in the past. Emphasising your ability to translate complex requirements into scalable solutions will set you apart.