Data Engineer

AI Service Partners (ASP) helps enterprise clients successfully implement and scale GenAI and data initiatives from central data platforms to intelligent automation working out of Munich and Berlin. We work close to the client solving real operational problems rather than building demos and were building a team that combines technical depth with a pragmatic ownership-driven delivery mindset.

As Data Engineer at ASP youll build the technical backbone behind our clients data and AI initiatives: designing pipelines integrations and data infrastructure that run in real corporate production environments not sandboxes. Youll work directly on high-stakes enterprise projects where your work is the foundation everything else from reporting to automation to GenAI use cases is built on.

• Design build and operate data pipelines integrations and data infrastructure in real corporate production environments
• Build APIs and connectors to integrate heterogeneous systems and keep data mapped consistently across them
• Set up and manage cloud data infrastructure including access rights identity and security configuration
• Work with modern data platform tools such as Microsoft Fabric Databricks or similar to build and operate scalable data solutions for clients
• Lay the technical foundation that everything else from reporting to automation to GenAI use cases is built on

• Experience designing building and operating data pipelines in a corporate production environment
• A solid understanding of data quality practices and how to map data consistently across systems
• Hands-on experience integrating heterogeneous systems including building APIs and connectors
• Knowledge of one or more cloud providers (e.g. Microsoft Azure) including setting up access rights/IAM and security configuration
• Experience with modern data platform tools such as Microsoft Fabric Databricks or similar
• Good knowledge of networking and security fundamentals as they apply to data infrastructure
• A proven track record delivering this kind of work ideally on real high-stakes projects rather than internal or academic ones is a big plus

Were a young company with strong growth ahead of us over the next few years and we want the people who join early to grow with us both in role and in responsibility. Compensation includes a competitive base salary that scales with your experience in the role equity and a performance-based bonus so your success is directly tied to the companys.

We dont believe in a perfect candidate. Apply even if you dont check every box. Skills and experience are valued over formal degrees motivation and drive matter as much as your CV and we favor ownership over hierarchy: everyone is expected to drive outcomes not wait for instructions. We have a bias toward action and give and expect direct honest feedback.

If this sounds like you wed love to hear from you!