Data Platform DevOps Engineer

As a Data Platform DevOps Engineer you contribute to the evolution of NNs Customer Data Platform by building maintaining and improving the customer data integrations that power digital channels analytics and AI use cases.

With your strong engineering mindset DevOps expertise and focus on reliability and automation you ensure that customer data APIs are scalable secure and production ready. Which enables teams across NN to consume them with full confidence.

What you are going to do

In this role your focus is on developing maintaining testing and improving the customer data API integrations within the Customer Data Platform. Alongside this you support the team with data engineeringrelated tasks and help set up and improve DevOps and release pipelines that enable efficient development and deployment.

You will:

• Design build maintain and improve Customer Data Integration APIs using Python and technologies such as Databricks Azure Function Apps and related Azure services
• Set up and improve Azure DevOps CI/CD pipelines to automate build test release and deployment processes
• Work closely with the Data Engineering & Platform team to design and implement end-to-end data integration solutions
• Collaborate with engineers across business units and other countries to enable stable scalable and well-documented customer data integrations
• Translate business and technical requirements into robust maintainable solutions
• Implement monitoring logging and alerting to ensure observability reliability and production readiness of APIs
• Ensure API quality performance security access control lifecycle management and cost efficiency
• Migrate legacy customer data APIs to the new architectural standards of the Customer Data Platform

What we offer you
NN invests in an inclusive and inspiring work environment as well as in skills and competencies for the future. We match this with employee benefits that align with current and future needs. This way we offer our employees the opportunity to reach their full potential. We offer you:

• Salary between 5030 and 6707 based on 40 hours per week depending on your knowledge and experience
• 13th month and holiday allowance are paid with your monthly salary
• 27 vacation days for a 5-day working week and three Diversity Days
• A modern pension administered by BeFrank
• Plenty of training and learning opportunities
• NS Business Card 2nd class which gives you unlimited travel also privately. Do you prefer to travel with your own transport Then you can declare the kilometers travelled
• Allowances for setting up your home office and for internet use

Who you are

You are a hands-on Software Engineer with strong Python engineering experience a solid engineering mindset and a passion for building reliable scalable and production-ready data integrations. You enjoy working at the intersection of software engineering data engineering and DevOps and take ownership of solutions from development through operations. You bring:

• 3 years of experience as a software engineer/developer
• Strong handson experience with Python including writing clean testable and maintainable code for APIs
• Experience designing and building APIs and backend services using Python frameworks and libraries
• A solid understanding of API design principles versioning authentication/authorization and lifecycle management
• Experience setting up and working with CI/CD pipelines and DevOps practices with a focus on automation reliability and reproducibility
• Familiarity with testing strategies (unit integration) monitoring logging and operational support for production systems
• Practical experience with Azure services such as Azure Function Apps Azure Key Vault etc.
• Handson experience with Azure networking and security including VNets private endpoints network security groups firewall traffic protection and secure exposure of APIs
• Experience working in Agile teams and collaborating closely with data engineers platform teams and stakeholders
• A willingness to learn about and work with new and innovative technologies such as Databricks Lakebase and Databricks Apps

Who you will work with

You will join the Customer Data Management Office within the Customer & Digital this role you collaborate closely with a diverse set of teams that together shape and operate NNs customer data landscape.

You will work with:

• The Data Management team on customer data definitions business rules data quality standards and data exchange requirements
• The SAP BP team responsible for managing the golden source for customer master data
• The AI Centre of Excellence (AI CoE) enabling highquality data delivery for analytics and AI-driven solutions
• Engineering teams across multiple platforms (Bank NonLife Pensions and International) to drive platformwide consistency and uniform customer data integrations
• The Engineering Guild where you contribute to shared best practices standards and ongoing engineering maturity
• Various teams within and outside the Customer & Digital domain to design and implement robust reusable customer data integrations

You will also work closely with Security and NonFinancial Risk teams to ensure the platform meets all security regulatory and compliance requirements. A key part of your role is embedding securebydesign principles into the platform by automating controls monitoring and risk mitigating measures as part of the delivery process.

In addition you will work closely with the Data & AI Platform team within Customer & Digital as well as with central platform teams that provide shared services such as CDAAS (Continuous Delivery As A Service). You will also be an active member of the Engineering Guild connecting with engineers across NN Group to share knowledge align practices and contribute to continuous improvement.

Any questions

If you have any questions about the job you can reach out to Liselotte van der Zeeuw Senior Talent Acquisition Specialist Tech & Data via .