
Cloud/DevOps Engineer
- Hybrid
- Leiden
Job description
About the Role:
We're seeking a skilled Cloud/DevOps Engineer with a strong focus on platform automation, observability, and hardening, to support the Data Analytics Platform team. We are supporting a business unit of one of the biggest global furniture companies in the world to build a data & analytics platform.
In this new role, you will play a crucial part in developing and optimizing the D&A platform. This is a hands-on role requiring expertise in Azure, Python, automation, and infrastructure as code (IaC), allowing dynamic scaling and provisioning for efficient data pipeline operations.
Key Responsibilities:
Create and maintain Infrastructure as code using Terraform (must) for Data & analytics workloads
Build and Manage Github Actions pipelines for CI/CD and Release Management workflows.
Manage Github repos and automation.
Implement security architecture to ensure data security .
Implement observability patterns using Azure Monitor Azure Application Insights and Log Analytics Workspace.
Develop Python functions, classes & packages
Design and build reusable components, frameworks, and libraries at scale to support analytics products (Python, Spark, SQL)
Implement automated testing for the Data & Analytics platform
Support in building Data & Analytics Accelerators
Define and implement the configuration of Azure PAAS and IAAS services
Job requirements
Key Requirements:
Experience: 4+ years in Data Engineering, Software Engineering, or DevOps.
Technical Skills:
Strong proficiency in at least one programming language relevant to data operations (Python, Terraform).
Extensive experience with cloud environments (Azure; GCP experience is a plus).
Proficiency in CSD tools (Azure DevOps, GitHub).
Hands-on experience with Databricks for data operations.
Platform-Focused Mindset: Skilled in building resilient, automated platforms, distinct from core data engineering roles.
Automation Expertise: Proven track record in automation within cloud environments, including dynamic provisioning and scaling of data pipelines.
Observability & Reliability: Experience designing systems for monitoring, troubleshooting, and maintaining service uptime.
Hybrid Work Model: Ability to work from the Leiden office minimum 2-3 days per week.
Additional Information:
This role offers flexibility with the potential to work four days a week, though five days are preferred. You will be working within a dynamic team that values innovation, collaboration, and proactive problem-solving, helping to shape our client`s Data Analytics Platform.
If you are a Cloud/DevOps Engineer passionate about platform automation, data operations, and cloud architecture, apply!
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