IT Platform Engineer – Enterprise Data Lake at Wypoon Technologies
May no longer be active — verify on the employer site
At a glance
- Company
- Wypoon Technologies
- Location
- Netherlands
- Work arrangement
- On-site
- Employment type
- Permanent
- Experience
- 5–10 years
- Working hours
- 40 hours
- Visa sponsorship
- Offered, according to the listing
- Posted
- Added to The Stack
✨ The Stack take on this Wypoon Technologies job
- 🏢 Wypoon Technologies has 11 jobs here, 9 with visa sponsorship see all
- 🛂 Visa: Highly Skilled Migrant permit. 30 or older: €5,942 a month guide
- 💡 No salary shown. Ask Wypoon Technologies if it is above the minimum.
Updated 2026-11-05, from our data and official sources.
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About the role
Responsibilities:
- Design, build and operate a secure, scalable Enterprise Data Lake on Microsoft Azure.
- Build cloud-native data platform capabilities using Azure services including Azure Databricks.
- Implement and maintain Infrastructure as Code (Terraform) for repeatable, auditable deployments.
- Create and optimize CI/CD pipelines, DevOps workflows and automated release processes.
- Apply software engineering best practices: SOLID principles, design patterns and domain-driven design (DDD).
- Develop and maintain automated testing (pytest, mocking) and platform monitoring/alerting.
- Ensure platform reliability, scalability, fault tolerance and security across environments.
- Collaborate with Product Owners, Architects, security and business stakeholders; mentor peers and share knowledge.
Requirements:
- Strong software engineering experience with Python and object-oriented design.
- Hands-on experience with Microsoft Azure and Azure Databricks in production environments.
- Proven Terraform and Infrastructure as Code experience for cloud platforms.
- Solid understanding of DevOps, CI/CD, platform automation and cloud SDKs.
- Knowledge of software architecture, design patterns, SOLID principles and DDD.
- Experience with automated testing frameworks (pytest preferred) and test automation strategies.
- Demonstrated ability to deliver secure, scalable cloud solutions and work cross-functionally.
Responsibilities
Design, build, and enhance a secure and scalable Enterprise Data Lake platform on Microsoft Azure. Implement CI/CD pipelines, Infrastructure as Code using Terraform, and apply software engineering best practices to align technical solutions with business needs.
Requirements
Requires strong software engineering experience with Python and hands-on expertise in Microsoft Azure and Azure Databricks. Proficiency in Terraform, DevOps practices, and automated testing frameworks like pytest is essential.
Key skills
- Python — in 1200 other listings on The Stack
- Microsoft Azure — in 22 other listings on The Stack
- Azure Databricks — in 6 other listings on The Stack
- Terraform — in 470 other listings on The Stack
- Infrastructure As Code — in 273 other listings on The Stack
- DevOps — in 185 other listings on The Stack
- CI/CD — in 630 other listings on The Stack
- SOLID Principles — in 5 other listings on The Stack
- Design Patterns
- Domain-Driven Design
- Pytest
- Cloud SDKs
- Object-Oriented Programming
- Software Architecture
- Platform Automation
- Automated Testing
On The Stack (as of 2026-11-05)
Frequently asked questions about Wypoon Technologies
Is this IT Platform Engineer – Enterprise Data Lake role still open?
It was posted on 2026-06-04. Listings more than 30 days old may no longer be active, so check Wypoon Technologies's site before applying.
Does Wypoon Technologies offer visa sponsorship?
This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on Wypoon Technologies's site.
Where is this role located?
The listing gives the location as Netherlands. It is marked on-site.
What skills does this role ask for?
The listing names: Python, Microsoft Azure, Azure Databricks, Terraform, Infrastructure As Code, DevOps, CI/CD, SOLID Principles, Design Patterns, Domain-Driven Design, Pytest, Cloud SDKs, Object-Oriented Programming, Software Architecture, Platform Automation, Automated Testing.