Senior Full Stack Software Engineer - Data & AI (all genders)

Effective Field

• You can look forward to a dynamic, challenging, and diverse work environment in the Data & AI domain, where you will contribute to innovative client projects across various industries.
• You will be part of a hybrid, international expert team that combines technical and consulting excellence.
• You will design and develop scalable software solutions across the full application stack – from user-facing applications and APIs to backend services, data persistence, integrations, and cloud infrastructure.
• You will take ownership of features throughout their full lifecycle, including technical design, implementation, testing, deployment, monitoring, and continuous improvement.
• You will translate functional and technical requirements into maintainable, secure, and production-ready software solutions.
• You will integrate applications with data platforms, AI services, external systems, and enterprise environments.
• You will actively contribute to architectural decisions, code reviews, engineering standards, and reusable software components.
• You will collaborate closely with colleagues from Software, Cloud, Data, and AI Engineering as well as Consulting.
• You will lead technical workstreams, mentor less-experienced colleagues, and help continuously improve our software engineering practices.
• You can expect diverse challenges, plenty of room for initiative, and the opportunity to shape technological trends through real client projects.

What distinguishes you

• Degree in Computer Science, Software Engineering or similar, or equivalent experience
• 5+ years of professional experience as a software engineer
• Strong Java and Spring Boot experience in production
• End‑to‑end development: frontend, backend, APIs, databases, integrations, cloud
• Good knowledge of REST APIs, microservices and distributed systems
• Experience with modern web frontend frameworks
• Experience with message‑driven architectures (e.g. Kafka)
• Strong experience with relational and NoSQL databases
• Solid understanding of security (auth, authz), validation and error handling
• Experience with automated testing (unit, integration, API, e2e)
• Familiar with clean code, SOLID and design patterns
• Experience with code reviews and Git‑based workflows
• Experience with cloud platforms (Azure or AWS)
• Hands‑on with Docker and Kubernetes
• Experience deploying and operating applications in the cloud
• Knowledge of CI/CD pipelines and agile development practices
• Experience with monitoring/observability tools (e.g. Splunk, Prometheus, Grafana)
• Terraform, serverless and managed cloud services are a plus
• Experience integrating applications with data/analytics, ML or AI services is a plus
• Exposure to LLM services, RAG or frameworks like Spring AI / LangChain is a plus
• Uses AI‑assisted coding tools regularly
• Fluent in English; German is a plus
• Strong team player with good intercultural communication skills
• Independent, structured, self‑reliant, strong ownership
• Pragmatic, solution‑oriented, analytical, with focus on quality and customer value
• Able to lead technical workstreams, mentor colleagues and drive best practices

What you can expect

• Professional environment with challenging national and international digital projects for well-known customers and hidden champions;
• A passionate team with a Can-Do Attitude that welcomes you with open arms;
• A modern working environment with a feel-good factor;
• Development opportunities that suit you;
• Flexible working hours, attractive benefits and of course lots of fun.