Data Engineer (f/m/d)

Über UnsDo you want to take ownership from day one and actively shape the future in a growing company? VoiceLine is a fast-growing, VC-backed startup based in Munich. We build an AI-powered solution that helps field sales and service teams turn conversations into structured data efficiently.

This enables customer information to be documented, analyzed, and seamlessly integrated into existing systems. Together with leading enterprise customers, we are working to make field sales future ready.Deine AufgabenYour MissionAs the core Data Engineer, you will own the data backbone that powers Voiceline's field sales intelligence platform. You'll architect and scale the core data objects, ETL pipelines, and interfaces that connect CRM systems, AI agents, and third-party SaaS tools — turning raw field data into structured, actionable workflows.

From designing robust database schemas and optimizing complex queries to building a reliable data provider layer for both technical clients and AI interfaces, you'll be the architect who keeps the system coherent as it grows. You'll identify bottlenecks before they become problems, establish procedures and rules that scale, and collaborate closely with the backend team on architecture, security, and data modeling decisions that shape the product's foundation.ResponsibilitiesDevelop and own core data objects, structure and the interfacesCraft ETL processes and setup tooling solving scaling problemsInstantiate a data provider center to technical clients and AI interfacesAct as the central data interface across all product and engineering tribes — gathering requirements, translating them into data structures, and keeping stakeholders informedIdentify bottlenecks, decide for procedures and rules and help shape the product if neededEngage with the tech & product team in topics like architecture, DB design, optimal querying and securityWork closely with a dynamic team in a VC-financed, rapidly growing companyDein ProfilStrong data modeling and scaling skills & experienceSolid tech background in data science or data engineeringKnowledge of databases, warehouses, ETL tooling and communication protocolsIntuitive feeling about status quo and the future of SaaS interfaces, data needs of agents and context provisioningAbility to work in a structured manner and effectively communicateProblem solving skills in highly complex environments is a core requirementDeine BenefitsA dynamic environment with flexible working hours and a strong team cultureCompetitive and fair compensation package, including virtual equity participationModern office in the heart of Munich and the flexibility to work remotely (depending on the role)Access to Wellpass and attractive sports and wellness offerings to support your well beingSupport for public transport (Deutschlandticket)