Lead Data Engineer

Beschreibung

Job Zusammenfassung In dieser Rolle entwickelst du die Dateninfrastruktur für die AI-Transformation, erstellst effiziente Datenpipelines und definierst KPIs zur Messung der KI-Nutzung und -Wirkung in der Organisation. Job Zusammenfassung In dieser Rolle entwickelst du die Dateninfrastruktur für die AI-Transformation, erstellst effiziente Datenpipelines und definierst KPIs zur Messung der KI-Nutzung und -Wirkung in der Organisation. 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. Areas of ownership include: Data Platform Infrastructure, Ingestion Pipelines, Data Modeling & Transformation, AI Data Enablement, AI Adoption Measurement, and Data Governance & Compliance. 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 AI adoption KPIs: usage tracking, proficiency distribution, and business impact metrics. 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. Themen mit denen du dich im Job beschäftigst AI Data Economy Metadaten Level: Lead Job Feld: Data, Back End Anstellung: Vollzeit Vertragsart: Unbefristetes Dienstverhältnis Arbeitsmodell: Onsite Unternehmenstyp: Startup Branche: Internet, IT, Telekom Ort: Berlin | Deutschland

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