Data architect Jobs in Erkner

Salary: 50.000 - 75.000 per year

Requirements:

• have several years of backend development experience, ideally with PHP and a common framework
• work confidently with relational databases and APIs
• understand design patterns, clean architecture and maintainable code
• analyze problems systematically instead of only fixing symptoms
• take web application security seriously
• enjoy learning new technologies and technical concepts
• like discussing technical decisions constructively
• work independently, take ownership and collaborate well with a team

Responsibilities:

• You will mainly work on backend systems for complex B2B applications. Depending on the project, you will also be involved in architecture, data modelling, API design, deployments, testing, security topics and technical documentation.
• Typical topics include:
• backend development with PHP and relational databases
• roles, permissions, workflows and business logic
• API integrations and interfaces to external systems
• architecture discussions with our CTO and project team
• automated tests, debugging and quality assurance
• deployment and operational topics
• security aspects around data, authentication and interfaces
• AI integrations, such as internal AI hubs or assistant systems

Technologies:

• AI
• API
• Backend
• CI/CD
• CSS
• CTO
• Docker
• Support
• JavaScript
• Laravel
• Linux
• OWASP
• PHP
• Security
• Symfony
• Web
• Git
• HTML5
• MySQL
• PostgreSQL
• Python
• Redis
• Solr
• Vue

More:

Zixio develops software for complex, business-critical processes in pharma, clinical trials, medicine and industry. Our systems are used in real operational environments where stability, security, traceability and maintainability matter.

We are a small, technically strong team based in Berlin. We work with direct communication, short decision paths and a high level of ownership. We are looking for a solid Backend Engineer who solves problems independently, challenges technical decisions constructively and strengthens our engineering team.

Our engineering culture and stance on AI

We are building a solid, ambitious engineering team. We care deeply about technical quality: architecture, maintainability, security, testing, documentation and stable operation.

We also want our developers to keep growing. That means learning time, training budget, conferences, certifications and active support for technical development are part of how we work. We want people to stay close to new technologies and to have the space to become better engineers over time.

We have worked with AI technologies since 2017 and understand them beyond ready-to-use tools. We see AI as a way to empower engineers, not replace them. We follow current research, test new approaches critically and apply AI where it creates real value: internally in our own workflows and externally in customer systems. We are looking for someone who shares this mindset: curious about new technologies, but grounded enough to use them responsibly.

last updated 26 week of 2026