Azure cloud engineer

Are you passionate about developing cutting-edge analytics platforms? Do you have deep technical knowledge of Azure and Databricks? Do you thrive on collaborating with teammates to craft tech-savvy solutions? If so, we want to hear from you!

About Us

Rabobank's Model Development Platform (One!Lab) is the backbone for developing advanced data analytics and machine learning solutions used by over 1500 users within our organization. Our next goal is to enhance One!Lab's functionality, flexibility, and overall user experience. As part of the Analytics Platform teams within the Tech 4 Data & Analytics domain of the Technology Office (CITO), you will support the bank's mission to become more data-driven. You will join a robust team of over 30 platform and DevOps engineers, technical business analysts, Product Owners, Solution Architects, and Tech Leadership.

Your Role

As an Azure Platform Engineer with the Area Global Analytics Platform within Rabobank, you will play a pivotal role in designing, implementing, and maintaining a robust analytics platform. Your responsibilities will include setting up and managing Azure services such as Azure Databricks and Azure Machine Learning. You will collaborate closely with stakeholders to understand their requirements and translate them into technical solutions. Additionally, your role will also involve automating workflows and ensuring seamless integration with various data sources. Monitoring and troubleshooting the platform to ensure high availability and reliability will be key aspects of your job. Furthermore, you will stay updated with the latest Azure technologies and best practices to continuously improve the platform's capabilities.

Key Responsibilities

Architecture and Design:

• Shape the strategic technology direction of our data platform.
• Architect scalable and efficient data solutions using Azure Databricks.

Integration:

• Ensure seamless data integration across various systems.
• Optimize data processing workflows for efficiency and performance.

Infrastructure Automation:

• Develop and maintain Terraform Infrastructure as Code (IaC) scripts to automate Databricks environment deployments.

Performance Monitoring and Tuning:

• Monitor and analyze the performance of databases and data pipelines.
• Fine-tune and optimize the data platform to ensure optimal performance and resource utilization.

Required Qualifications:

• 3-5 years of experience as a Platform Engineer or similar role, focusing on deploying, optimizing, and maintaining large-scale analytics platforms.
• Hands-on expertise in Azure Databricks and data architecture.
• Proficiency in writing clear and maintainable code, with Python experience being a significant plus.
• Experience with Infrastructure as Code (IaC), preferably Terraform.
• Experience with CI/CD, preferably in Azure DevOps.
• Knowledge of containerization technologies like Docker and Kubernetes, particularly for deploying and managing data services.
• Excellent problem-solving skills and the ability to work collaboratively in a team environment.
• Proactive attitude towards learning new technologies and staying updated with industry trends.

Preferred Qualifications:

• Certification in Microsoft Azure or related technologies.

To be considered for this position, you must be located in the Netherlands or elsewhere in the EU and have the legal right to work in the Netherlands. We are unable to consider candidates requiring relocation from another country.

• We will hold the interviews through a video call.
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