Anonymization Developer (f/m/x)

In this role, you’ll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients the around world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology. A career in IBM Consulting embraces long-term relationships and close collaboration with clients across the globe. You’ll work with visionaries across multiple industries to improve the hybrid and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio; including IBM Software and Red Hat. Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role, you’ll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in ground breaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and development opportunities in an environment that embraces your unique skills and experience. We are looking for a Senior Anonymization Developer with strong experience in data anonymization and sensitive data management, ideally within the banking sector. The successful candidate will develop and maintain database solutions supporting secure and compliant data processing. You will work closely with database and security teams to ensure sensitive information is properly protected throughout its lifecycle. The role requires a strong focus on data quality, security, performance, and compliance within a regulated banking environment. Job Responsibilities Design, implement, and operate services and tooling for enterprise-grade data anonymization and protection across production databases. Develop and maintain REST API backends enabling anonymization workflows and integration with upstream/downstream systems. Build automation and operational scripts in PowerShell and Bash to deploy, monitor, and manage DAP services. Contribute to backend services and utilities in Java and/or C# with clean, testable, and secure code. Integrate with and support multiple database engines (MongoDB, MS SQL Server, Oracle), including schema discovery, profiling, and rules application. Collaborate with security, data governance, and application teams to define and enforce data masking/tokenization standards and policies. Implement observability (logging, metrics, tracing) and CI/CD pipelines for reliable delivery and operations. Troubleshoot incidents, perform root-cause analysis, and drive continuous improvements in scalability, reliability, and performance. Document APIs, runbooks, and operational procedures; contribute to knowledge sharing and onboarding materials. What we offer: Individual career path Access to countless trainings and certification offerings A knowledge sharing culture An environment where you are actively contributing your ideas The possibility to work in projects in one of the largest IT companies Strong, practical experience building and operating REST API backends (designing endpoints, versioning, authentication/authorization, performance tuning, resilience). Hands-on programming in at least two of the following: Java, C#; and scripting proficiency in PowerShell and Bash. Solid database fundamentals and hands-on experience with: MongoDB (collections, indexing, aggregation, performance basics) Microsoft SQL Server (T-SQL, schema design, indexing strategies) Oracle Database (PL/SQL fundamentals, performance considerations) Experience integrating backends with databases securely (connection handling, secrets management, least privilege). Familiarity with data anonymization/masking/tokenization concepts and patterns. Good understanding of secure software development practices (Kerberos, OWASP, input validation, secrets handling, TLS, logging without leakage). Comfortable with CI/CD tools and version control; experience with automated testing and code quality practices. Swiss residency in a must. Swiss or EU nationality, or valid Swiss work permit. Experience with enterprise data masking/tokenization tools or libraries. Knowledge of data governance and privacy frameworks (GDPR, data minimization, DPIA). Exposure to event-driven architectures, message queues, or ETL/ELT pipelines. Containerization and orchestration (eg Docker/Podman, OpenShift) and infrastructure-as-code (e.g., Ansible). Observability stacks (Prometheus/Grafana, ELK/EFK, OpenTelemetry). Performance profiling and capacity planning for API services and databases. Experience in regulated environments (banking/financial services). Switzerland Data & Analytics Hybrid Professional Lancy, CH (1459) IBM Client Innovation Center Switzerland GmbH