Cloud/DevOps Engineer
Cloud/DevOps Engineer
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1 Vacancy
Job Description
Job description
About the Role:
Were 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 clients Data Analytics Platform.
If you are a Cloud/DevOps Engineer passionate about platform automation data operations and cloud architecture apply!
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Employment Type
Contract
