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Description Vacancy :
Empowering Data Solutions at Scale

Are you passionate about building analytics platforms that make a difference? Do you excel at turning ideas into solutions with Azure and Databricks? Are you motivated by working in a collaborative, diverse team environment? If so, we want to hear your story!

About Us At Rabobank’s Model Development Platform (One!Lab), we are at the heart of innovation, enabling advanced data analytics and machine learning for over 1,500 users across the organization. Our mission? To make One!Lab smarter, more flexible, and an exceptional experience for its users.

As part of the Analytics Platform teams in the Tech 4 Data & Analytics domain of the Technology Office (CITO), we drive Rabobank’s journey to becoming a truly data-driven organization. You’ll work alongside over 37 talented colleagues, including platform and DevOps engineers, technical business analysts, product owners, and architects, all united by a shared commitment to excellence and innovation.

Your Role
As an Azure Platform Engineer in the Global Analytics Platform area, you’ll be at the forefront of shaping and maintaining a cutting-edge analytics platform. Your work will make data accessible, actionable, and impactful for stakeholders across the organization. Here’s what you’ll be doing:
Key Responsibilities
• Strategic Design: Architect scalable, secure, and efficient data solutions using Azure Databricks and other Azure services.
• Collaboration: Partner with stakeholders to understand their goals and translate them into innovative, practical technical solutions.
• Integration: Ensure seamless data integration across systems and optimize workflows for performance and efficiency.
• Automation: Develop and maintain Terraform scripts to automate deployments and manage infrastructure.
• Performance Excellence: Monitor and tune databases and data pipelines for optimal performance and resource utilization.
• Continuous Improvement: Stay ahead of industry trends and Azure technologies, continuously enhancing the platform’s capabilities.
We’re looking for someone who thrives on solving complex challenges in a collaborative environment and values growth as much as delivering results.
Required Qualifications
• Experience: 3-5 years in a Platform Engineer or similar role, focusing on large-scale analytics platforms.
• Technical Expertise: Proficiency in Azure Databricks and data architecture, with Python experience as a bonus.
• Skills: Hands-on experience with Infrastructure as Code (Terraform preferred) and CI/CD pipelines (Azure DevOps preferred).
• Knowledge: Familiarity with containerization (Docker, Kubernetes) for deploying and managing data services.
• Mindset: A proactive learner with excellent problem-solving skills and a team-first attitude.
• Microsoft Azure certifications or equivalent.