For our client in Utrecht we are looking for a Python/Azure Cloud Engineer

That you are working on a central Global Data Platform (GDP) in the cloud where data is exchanged at scale.

This platform is built on Azure Cloud and both the platform and the squads are growing fast. We strive towards high performing and self-managing DevOps squads, where squad members take responsibility and are willing to learn. Within the squad, where everyone is working closely together, each squad member shares expertise and has their own specialism. Next to creating new functionality, maintenance, configuration and security, processes and procedures are also part of the responsibility of the DevOps squads.

For the squad Data Storage Governance, we are looking for a Software Engineer who preferably has experience with cloud-based projects (microservices).

You will be responsible for

• Comfortable with high regulated environment and handling activities related to in-control (security, patching, compliance).

• Bringing in your experience and expertise in data intensive projects. You feel comfortable applying

your development and soft skills in a DevOps squad. You are motivated to learn and improve in a

flexible and dynamic environment.

• Python programming language.

• Understand the architectural design already in place and implement it using Python accordingly.

• Challenge our solution architects to improve the design, when needed.

• You challenge, advise, and align possible solutions with solution architects and squad members when needed.

• You bring people together to get things done.

Experience:

Proficiency in Python programming language

- Excellent Debugging Skills

- Knowledge of frameworks

- Core Python Concepts (data structures, exceptional handling, object-oriented programming

(OOPs), multithreading, packages, functions, upgrading versions, generators, iterators)

- Readable code with proper documentation

- Usage of Python Shell

- Familiar with ORM (Object Relational Mapper) libraries

- Decorators

To build and to maintain Python APIs

- Framework/library: FastAPI, SQLAlchemy

- API design best practices (RESTful APIs, OpenAPI specs, versioning, security)

- Unit/integration test: Pytest

- Source target: Azure SQL Database

- Host services: Azure web apps, App gateway, Kong API gateway

Knowledge on Azure services:

- Azure Resource Manager templates (ARM) & BICEP

- Experience with containers (Docker) and orchestration

- Azure SQL server and SQL database

- Azure Data Factory (Pipelines & Data Flow)

- Security (Virtual Networks, Firewall and IAM)

Experience with CI/CD Azure DevOps. It means, you are capable of using Azure DevOps to deploy your code from D, T, A to P.

Monitoring & observability tools (Azure Monitor, Application Insights, logging)

Experience with metadata management or data governance tools is a plus (e.g., Purview or similar)

Of course, it is a plus if you have experience with data. Please check the list Nice to have.

Nice to have:

DP-200 – Implementing an Azure Data Solution

DP-900 – Azure Data Fundamentals

DP-203 Azure Data Engineer Associate

AZ-900 - Azure Foundation

Azure Data Factory

Azure Databricks

Competences:

Strong communication skills

Critical thinker

Pro active

Working together

Providing feedback

Willing to develop further in Azure

Strong information/data analysis skills

A customer focused mind-set and having a structured way of working are key talents

Quick learner

Curiosity