Job
- Level
- Lead
- Job Feld
- Data
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
- Ort
- Berlin
- Arbeitsmodell
- Onsite
Job Zusammenfassung
In dieser Rolle entwickelst du eine zentrale Dateninfrastruktur, die es ermöglicht, Daten aus verschiedenen Quellen zu integrieren und AI-Anwendungen effizient zu unterstützen, während du KPIs und Dashboards zur Nutzung und Wirkung von KI definierst.
Job Technologien
Deine Rolle im Team
- As Lead Data Engineer - Internal Platform, you will build and own the data infrastructure that powers Parloa's internal AI transformation.
- Today, business-critical data lives across dozens of disconnected tools with no unified way to access it - you'll change that by creating a single, self-serve access layer that gives AI agents and teams the business context they need to operate.
- Working closely with the AI Transformation Team and stakeholders across the non-engineering organization, you'll also define the KPIs and dashboards leadership uses to track AI adoption and impact.
- Own the Internal-facing Databricks workspace end-to-end: configuration, compute, access controls, and cost management.
- Build and maintain Airbyte pipelines that pull data from Salesforce, Gong, HRIS, finance systems, and other tools on automated schedules.
- Implement the architecture that turns raw data into clean, trusted, analysis-ready datasets.
- Partner with the AI Transformation Team to ensure AI agents and LLM workflows get the right data in the right format.
- Define and build the KPIs and dashboards that track AI usage, proficiency, and business impact across the company.
- Own data classification, access policies, GDPR/DPA compliance, and pipeline monitoring.
Unsere Erwartungen an dich
Qualifikationen
- Proficiency in Python, SQL, ETL/ELT tools, and MLOps.
- Knowledge of dimensional modeling and modern data warehouse technologies.
- Ability to comprehend and execute on complex requirements and resolve performance issues.
- Ability to articulate complex technical concepts to non-engineering audiences, making data architecture decisions and trade-offs understandable for leadership and cross-functional stakeholders.
- Passion for staying updated and driving innovation in data engineering.
- Ability to define and instrument Al adoption KPls: usage tracking, proficiency distribution, and business impact metrics.
- Understanding of how Al tools consume data - context windows, retrieval patterns, embedding pipelines - and how to optimise data access for.
Erfahrung
- Experience designing data layers that power AI/LLM-based applications and agentic workflows.
Unser Angebot
- Parloa is committed to upholding the highest data protection standards for our clients' and employees' data.
- All our employees are instrumental in ensuring the utmost care, GDPR, and ISO compliance, including ISO 27001, in handling sensitive information.
Benefits
Work-Life-Integration
Gesundheit, Fitness & Fun
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
Parloa Gmbh
Die Parloa GmbH, ein Technologieunternehmen aus Berlin, bietet mit ihrer AI Agent Management Plattform AMP Unterstützung für Enterprise-Kunden, die KI-Agenten für natürliche Kundengespräche skalieren möchten. Zu den globalen Marken, die das Unternehmen betreut, gehören Allianz, Booking.com, SAP und Swiss Life, und es hat über eine Milliarde Kundeninteraktionen ermöglicht. Parloa hat Büros in Berlin, München und New York und beschäftigt etwa 350 Mitarbeiter, während es international expandiert.
Description
- Unternehmenstyp
- Startup
- Arbeitsmodell
- Hybrid, Onsite
- Branche
- Internet, IT, Telekom
Lead Data Engineer
- Ort
- Berlin
- Arbeitsmodell
- Onsite
- Diversität
- Für alle Personen geeignet (m/w/d)
- Nur Englisch
- Nur Englisch erforderlich
