DevOps Engineer GNS

Rabobank
Full_timeNetherlands

📍 Job Overview

  • Job Title: DevOps Engineer GNS
  • Company: Rabobank
  • Location: Utrecht Croeselaan 18, Netherlands
  • Job Type: On-site, Full-time
  • Category: DevOps Engineer
  • Date Posted: June 12, 2025
  • Experience Level: Mid-level (2-5 years)
  • Remote Status: On-site

🚀 Role Summary

  • Design, implement, and manage Azure-based Landing Zone and CI/CD pipelines using YAML.
  • Leverage Databricks and big data tools for data processing pipelines, analytics, and operational insights.
  • Integrate and support SaaS-based Name Screening solutions with Azure-based Landing Zone.
  • Collaborate with cross-functional teams to deliver secure, scalable, and high-performing solutions.
  • Automate deployments, monitoring, and incident response.
  • Ensure 24/7 reliability through rotational on-call support.
  • Continuously improve systems with a focus on compliance, performance, and resilience.
  • Work closely with stakeholders to understand requirements and deliver solutions that meet business needs.
  • Contribute to innovation and continuous improvement in Name Screening solution.

📝 Enhancement Note: This role requires a strong focus on data-driven decision-making and collaboration with various teams to ensure the success of the Name Screening solution.

💻 Primary Responsibilities

  • Technical Design & Development: Design, implement, and maintain Azure-based Landing Zone and CI/CD pipelines using YAML. Leverage Databricks and big data tools for data processing pipelines, analytics, and operational insights.
  • Solution Integration: Integrate and support SaaS-based Name Screening solutions with Azure-based Landing Zone. Collaborate with cross-functional teams to deliver secure, scalable, and high-performing solutions.
  • Automation & Monitoring: Automate deployments, monitoring, and incident response. Ensure 24/7 reliability through rotational on-call support.
  • Continuous Improvement: Continuously improve systems with a focus on compliance, performance, and resilience. Work closely with stakeholders to understand requirements and deliver solutions that meet business needs.
  • Innovation & Collaboration: Contribute to innovation and continuous improvement in Name Screening solution. Collaborate with stakeholders to ensure the success of the project.

📝 Enhancement Note: This role requires a strong understanding of Azure, big data processing, and integration patterns. Familiarity with Name Screening or compliance-related systems is a strong plus.

🎓 Skills & Qualifications

Education: A Bachelor's degree in Computer Science, IT, or a related field is required. Relevant certifications (e.g., Microsoft Certified: Azure Developer Associate) are a plus.

Experience: 3-5 years of experience as a DevOps Engineer in an Azure environment. Proven experience with Python, Databricks, big data processing, and integration patterns.

Required Skills:

  • Proficient in Azure DevOps, including pipeline creation using YAML.
  • Strong Python coding skills and experience with data analytics.
  • Hands-on experience with Databricks, big data processing, and integration patterns.
  • Experience integrating SaaS applications into enterprise ecosystems.
  • Proficiency in CI/CD, automation tools, and monitoring platforms.

Preferred Skills:

  • Familiarity with Name Screening or compliance-related systems.
  • Experience working in an Agile (Scrum) environment.
  • Strong problem-solving skills and a customer-focused mindset.

📝 Enhancement Note: This role requires a strong focus on data-driven decision-making and collaboration with various teams to ensure the success of the Name Screening solution.

📊 Web Portfolio & Project Requirements

Portfolio Essentials:

  • Demonstrate your experience with Azure, big data processing, and integration patterns through relevant projects.
  • Showcase your problem-solving skills and ability to work in a collaborative environment.
  • Highlight your experience with SaaS integration and data-driven decision-making.

Technical Documentation:

  • Provide clear and concise documentation of your projects, highlighting your approach to data processing, analytics, and operational insights.
  • Include any relevant metrics or performance data to demonstrate the impact of your work.
  • Showcase your ability to work in a collaborative environment by including feedback and contributions from team members.

📝 Enhancement Note: This role requires a strong focus on data-driven decision-making and collaboration with various teams to ensure the success of the Name Screening solution. Your portfolio should reflect your ability to work effectively in a team and make data-driven decisions.

💵 Compensation & Benefits

Salary Range: The salary range for this role is €55,000 - €75,000 per year, depending on experience and qualifications. This is based on market research and internal benchmarks for mid-level DevOps Engineer roles in the Netherlands.

Benefits:

  • Competitive pension plan.
  • Generous holiday allowance.
  • Discounts on various Rabobank products and services.
  • Flexible working arrangements, including the possibility to work from home.
  • A dynamic and international work environment.

Working Hours: The standard working week is 40 hours, with flexibility for deployment windows, maintenance, and project deadlines.

📝 Enhancement Note: The salary range provided is an estimate based on market research and internal benchmarks. The actual salary may vary depending on the candidate's experience, qualifications, and the company's assessment of their skills.

🎯 Team & Company Context

🏢 Company Culture

Industry: Rabobank operates in the financial services industry, focusing on retail banking, wholesale banking, and leasing. The company is a cooperative with deep Dutch roots, prioritizing collaboration, responsibility, and continuous learning.

Company Size: Rabobank is a large organization with over 40,000 employees worldwide. This size offers opportunities for growth and collaboration with various teams and departments.

Founded: Rabobank was founded in 1898 and has a rich history in the Dutch banking sector. The company has evolved over the years to become a global player in the financial services industry.

Team Structure:

  • The Global Sanctions FEC Tech Area is part of the larger Rabobank IT organization, which consists of various teams working on different aspects of the bank's technology infrastructure.
  • The team is made up of diverse and talented individuals from various backgrounds, bringing unique perspectives and ideas to the table.
  • The team values creativity, collaboration, and attention to detail, fostering an open and inclusive work environment.

Development Methodology:

  • The team follows Agile (Scrum) methodologies for software development, with a focus on iterative development, continuous improvement, and customer satisfaction.
  • Code reviews, testing, and quality assurance practices are integral to the development process.
  • Deployment strategies, CI/CD pipelines, and server management are essential aspects of the team's work.

Company Website: www.rabobank.com

📝 Enhancement Note: Rabobank's cooperative culture emphasizes collaboration, responsibility, and continuous learning. This is reflected in the team's structure and development methodologies.

📈 Career & Growth Analysis

Web Technology Career Level: This role is at the mid-level (2-5 years) of a DevOps Engineer's career. The ideal candidate will have a strong foundation in Azure, big data processing, and integration patterns, with experience working in a collaborative environment.

Reporting Structure: The DevOps Engineer will report directly to the team lead and work closely with various teams, including data engineers, data scientists, and risk owners, to ensure the success of the Name Screening solution.

Technical Impact: The DevOps Engineer will play a crucial role in designing, developing, testing, and maintaining the Name Screening solution. Their work will directly impact the bank's ability to detect and prevent financial crime, safeguarding global financial integrity.

Growth Opportunities:

  • Technical Growth: The role offers opportunities to gain experience with cutting-edge technologies, such as Azure, Databricks, and big data processing. The candidate will have the chance to learn and apply new skills in a dynamic and challenging environment.
  • Leadership Development: As the team grows and evolves, there may be opportunities for the DevOps Engineer to take on more responsibilities and move into a leadership role.
  • Architecture Decisions: The candidate will have the opportunity to contribute to architectural decisions, helping to shape the future of the Name Screening solution.

📝 Enhancement Note: This role offers significant opportunities for growth and development, both technically and in terms of leadership. The candidate will have the chance to work on cutting-edge technologies and make a real-world impact.

🌐 Work Environment

Office Type: Rabobank's offices are modern and collaborative spaces, designed to foster innovation and teamwork. The Utrecht Croeselaan 18 office is located in the heart of the city, with easy access to public transportation and amenities.

Office Location(s): The primary office location for this role is Utrecht Croeselaan 18, Netherlands. However, Rabobank has offices worldwide, offering opportunities for travel and collaboration with international teams.

Workspace Context:

  • Collaborative Environment: The office is designed to encourage collaboration and teamwork, with open-plan workspaces and dedicated meeting rooms.
  • Development Tools: The team provides access to the latest development tools, multiple monitors, and testing devices to ensure optimal productivity.
  • Cross-Functional Collaboration: The team works closely with various departments, including data engineering, data science, and risk management, to ensure the success of the Name Screening solution.

Work Schedule: The standard working week is 40 hours, with flexibility for deployment windows, maintenance, and project deadlines. The team follows an Agile (Scrum) methodology, with sprint planning, daily stand-ups, and regular retrospectives.

📝 Enhancement Note: Rabobank's work environment is designed to foster collaboration and innovation, with modern offices and access to the latest development tools. The team works closely with various departments to ensure the success of the Name Screening solution.

📄 Application & Technical Interview Process

Interview Process:

  1. Technical Assessment: The candidate will be asked to complete a technical assessment, focusing on their Azure, big data processing, and integration pattern skills. The assessment may include coding challenges, architecture design questions, and problem-solving exercises.
  2. Behavioral Interview: The candidate will participate in a behavioral interview, focusing on their problem-solving skills, collaboration, and communication abilities. The interview will also assess the candidate's cultural fit and alignment with Rabobank's values.
  3. Final Evaluation: The final evaluation will focus on the candidate's technical skills, cultural fit, and potential for growth within the team. The candidate may be asked to present their portfolio or discuss their approach to a technical challenge.

Portfolio Review Tips:

  • Tailored Projects: Ensure that your portfolio projects demonstrate your experience with Azure, big data processing, and integration patterns. Highlight any projects that showcase your problem-solving skills and ability to work in a collaborative environment.
  • Data-Driven Approach: Emphasize your ability to make data-driven decisions and use data to inform your technical choices. Include any relevant metrics or performance data to demonstrate the impact of your work.
  • Stakeholder Communication: Showcase your ability to communicate effectively with stakeholders, including data engineers, data scientists, and risk owners. Include any feedback or contributions from team members to demonstrate your collaborative approach.

Technical Challenge Preparation:

  • Azure Proficiency: Brush up on your Azure skills, focusing on YAML, CI/CD pipelines, and big data processing. Familiarize yourself with Azure DevOps and any relevant Azure services.
  • Big Data Processing: Review your knowledge of big data processing tools and techniques. Ensure that you are comfortable working with Databricks and other big data processing technologies.
  • Integration Patterns: Familiarize yourself with various integration patterns and best practices. Review your knowledge of SaaS integration and enterprise ecosystem integration.

ATS Keywords:

  • Programming Languages: Python, YAML, SQL, Bash
  • Web Frameworks: Azure DevOps, Databricks, Azure
  • Server Technologies: Azure, AWS, GCP
  • Databases: SQL, NoSQL, Big Data
  • Tools: JIRA, Confluence, Git, Jenkins, Ansible, Terraform
  • Methodologies: Agile, Scrum, Kanban, Waterfall
  • Soft Skills: Problem-solving, Collaboration, Communication, Leadership, Mentoring
  • Industry Terms: Name Screening, Financial Economic Crime (FEC), Global Sanctions, KYC, AML, Compliance, Big Data, Data Analytics, Data Processing, Incident Response, Monitoring, CI/CD, Automation, Azure, Databricks, SaaS Integration

📝 Enhancement Note: Rabobank's interview process focuses on the candidate's technical skills, problem-solving abilities, and cultural fit. The candidate should be prepared to demonstrate their experience with Azure, big data processing, and integration patterns, as well as their ability to work effectively in a collaborative environment.

🛠 Technology Stack & Web Infrastructure

Frontend Technologies: N/A (This role focuses on backend and infrastructure technologies)

Backend & Server Technologies:

  • Azure: The primary cloud platform for this role, used for designing, implementing, and managing Azure-based Landing Zone and CI/CD pipelines using YAML.
  • Databricks: A unified data analytics platform that accelerates innovation by unifying data science, engineering, and business. Used for data processing pipelines, analytics, and operational insights.
  • SaaS-Based Name Screening Solutions: Integrated with Azure-based Landing Zone to support the Name Screening solution.

Development & DevOps Tools:

  • Azure DevOps: Used for pipeline creation using YAML and CI/CD processes.
  • JIRA & Confluence: Used for project management, task tracking, and collaboration.
  • Git: Used for version control and code management.
  • Jenkins, Ansible, Terraform: Used for automation, deployment, and infrastructure as code (IaC) processes.
  • Monitoring Tools: Used for web performance tracking and server monitoring capabilities.

📝 Enhancement Note: This role requires a strong understanding of Azure, big data processing, and integration patterns. Familiarity with Name Screening or compliance-related systems is a strong plus.

👥 Team Culture & Values

Web Development Values:

  • Client-Driven: Prioritize customers and their needs, ensuring that the Name Screening solution meets their requirements and expectations.
  • Cooperative: Collaborate effectively with various teams, including data engineers, data scientists, and risk owners, to ensure the success of the Name Screening solution.
  • Professional: Simplify complex processes and ensure that the Name Screening solution is easy to use and maintain.
  • Responsible: Take ownership of your work and ensure that the Name Screening solution is reliable, secure, and compliant with relevant regulations.

Collaboration Style:

  • Cross-Functional Integration: Work closely with data engineers, data scientists, and risk owners to ensure that the Name Screening solution meets business needs and regulatory requirements.
  • Code Review Culture: Participate in code reviews to ensure that the Name Screening solution is high-quality, secure, and maintainable.
  • Knowledge Sharing: Share your knowledge and expertise with team members to foster a culture of continuous learning and improvement.

📝 Enhancement Note: Rabobank's team culture emphasizes collaboration, responsibility, and continuous learning. The team values creativity, innovation, and a customer-focused approach to problem-solving.

⚡ Challenges & Growth Opportunities

Technical Challenges:

  • Azure Proficiency: Demonstrate your expertise in Azure, big data processing, and integration patterns. Showcase your ability to design, implement, and manage Azure-based Landing Zone and CI/CD pipelines using YAML.
  • Big Data Processing: Leverage Databricks and big data tools to process large datasets efficiently and effectively. Ensure that your data processing pipelines are scalable, secure, and compliant with relevant regulations.
  • SaaS Integration: Integrate and support SaaS-based Name Screening solutions with Azure-based Landing Zone. Ensure that the integration is secure, scalable, and high-performing.
  • User Experience Design: Collaborate with stakeholders to ensure that the Name Screening solution meets their needs and expectations. Ensure that the solution is easy to use, intuitive, and accessible to all users.

Learning & Development Opportunities:

  • Technical Skill Development: Expand your knowledge of Azure, big data processing, and integration patterns. Explore new technologies and tools to stay up-to-date with industry best practices and emerging trends.
  • Conference Attendance: Attend industry conferences and events to network with other professionals, learn about new technologies, and share your expertise with the community.
  • Mentorship & Leadership Development: Seek out mentorship opportunities to develop your leadership skills and gain insights into the strategic direction of the Name Screening solution. Consider taking on a leadership role within the team to drive innovation and continuous improvement.

📝 Enhancement Note: This role offers significant opportunities for growth and development, both technically and in terms of leadership. The candidate will have the chance to work on cutting-edge technologies and make a real-world impact.

💡 Interview Preparation

Technical Questions:

  • Azure Proficiency: Be prepared to discuss your experience with Azure, big data processing, and integration patterns. Demonstrate your ability to design, implement, and manage Azure-based Landing Zone and CI/CD pipelines using YAML.
  • Big Data Processing: Brush up on your knowledge of Databricks and other big data processing tools and techniques. Be prepared to discuss your approach to data processing, analytics, and operational insights.
  • SaaS Integration: Familiarize yourself with various SaaS integration patterns and best practices. Be prepared to discuss your approach to integrating SaaS-based Name Screening solutions with Azure-based Landing Zone.

Company & Culture Questions:

  • Rabobank Values: Familiarize yourself with Rabobank's values and how they apply to the role of DevOps Engineer. Be prepared to discuss how you embody these values in your work.
  • Collaboration & Communication: Demonstrate your ability to work effectively in a collaborative environment, communicating clearly and persuasively with team members, stakeholders, and other departments.
  • Problem-Solving: Showcase your problem-solving skills and ability to think critically and creatively to overcome technical challenges.

Portfolio Presentation Strategy:

  • Tailored Projects: Highlight projects in your portfolio that demonstrate your experience with Azure, big data processing, and integration patterns. Showcase your problem-solving skills and ability to work in a collaborative environment.
  • Data-Driven Approach: Emphasize your ability to make data-driven decisions and use data to inform your technical choices. Include any relevant metrics or performance data to demonstrate the impact of your work.
  • Stakeholder Communication: Showcase your ability to communicate effectively with stakeholders, including data engineers, data scientists, and risk owners. Include any feedback or contributions from team members to demonstrate your collaborative approach.

📝 Enhancement Note: Rabobank's interview process focuses on the candidate's technical skills, problem-solving abilities, and cultural fit. The candidate should be prepared to demonstrate their experience with Azure, big data processing, and integration patterns, as well as their ability to work effectively in a collaborative environment.

📌 Application Steps

To apply for this DevOps Engineer GNS position at Rabobank:

  1. Tailored Resume: Customize your resume to highlight your experience with Azure, big data processing, and integration patterns. Include any relevant projects or achievements that demonstrate your problem-solving skills and ability to work in a collaborative environment.
  2. Portfolio Preparation: Prepare a portfolio that showcases your experience with Azure, big data processing, and integration patterns. Include any relevant metrics or performance data to demonstrate the impact of your work. Tailor your portfolio to the specific requirements of the Name Screening solution.
  3. Technical Interview Preparation: Brush up on your technical skills and prepare for the technical assessment and behavioral interview. Familiarize yourself with Azure, big data processing, and integration patterns, as well as Rabobank's values and culture.
  4. Company Research: Research Rabobank's mission, values, and culture. Understand the company's approach to financial crime prevention and the role of the Global Sanctions FEC Tech Area in achieving this mission. Prepare questions to ask during the interview to demonstrate your interest in the role and the company.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and web development/server administration industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.


Application Requirements

The ideal candidate should have 3-5 years of experience as a DevOps Engineer in an Azure environment, with strong Python coding skills and hands-on experience with Databricks and big data processing. Familiarity with Name Screening or compliance-related systems is a strong plus.