SAP-based ERP consulting and cloud software for the real estate industry
PROMOS consult is a Berlin SAP partner building real estate ERP add-ons and the easysquare cloud portal platform. Its stack pairs a deep SAP core (S/4HANA, FI/CO, Fiori, BTP, ABAP) with a Java/Quarkus layer on OpenShift and Kubernetes run through ArgoCD GitOps. OpenAI and RAG tooling point to AI being built into project delivery. Hiring is accelerating and engineering-heavy, with demand concentrated on S/4HANA migrations and FI/CO customization.
PROMOS consult is a privately held consulting and software firm founded in 1998 and headquartered in Berlin, Germany, with 201–500 employees. It serves real estate and housing companies with SAP-based solutions, covering consulting, ERP implementation and migration, custom development, training and ongoing support. Its product portfolio includes the PROMOS.GT solution library, the preconfigured PROMOS.GT ready2 system for housing companies, and the easysquare cloud platform connecting property managers, tenants and service providers. The company also operates its own data center supporting hosted SAP users. Hiring is currently focused on Germany.
PROMOS runs on SAP S/4HANA, SAP FI/CO, Fiori, BTP and ABAP, alongside Java, Quarkus, Jakarta EE and Hibernate, deployed with Docker, OpenShift, Kubernetes, Helm and ArgoCD. OpenAI and RAG are also in use.
Current work centers on SAP ERP and S/4HANA implementations, SAP FI/CO customization, quality assurance for SAP and PROMOS.GT solutions, and integrating AI tools into project workflows.
Yes. Engineering is the largest hiring area and overall hiring is accelerating, with finance, operations and security roles also open. Roles skew senior and are based in Germany.
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PROMOS consult's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.