Data Engineering Lead, Agentic Infrastructure

29 days ago

Frankfurt, GermanyStaff+

Responsibilities

Design, architect, and build a scalable internal data platform, core data warehouse, and high-throughput data pipelines.
Provide technical leadership, architectural guidance, and hands-on mentorship to a future team of data engineers.
Build data infrastructure that enables internal AI initiatives, intelligent tooling, and automation.
Develop a future-proof roadmap from internal operational data capabilities toward customer-facing product features.
Establish data governance, lineage, observability, and quality controls for a reliable and trusted platform.
Act as the central technical authority and principal decision-maker for company-wide data initiatives and architecture.

At least 8 years of hands-on experience in data engineering, including modern data stacks, central data warehouses, and high-throughput data pipelines.
Experience technically leading and elevating small teams while remaining hands-on.
Proven ability to design company-wide data architectures and make principal technical decisions for complex data systems.
Strong understanding of structuring, modeling, and pipelining data for AI, machine learning, and advanced analytics adoption.
Excellent communication skills and the ability to partner with internal stakeholders on centralized business data requests.
Familiarity or hands-on experience with agentic AI technologies, including infrastructure that enables autonomous agents and AI models to access data and execute tasks.

Work on mission-critical live entertainment technology used by global brands and millions of end users.
Join a sustainably growing, profitable, VC-backed company with continued investment in people, products, and long-term vision.
Collaborate with a global team of more than 160 professionals across six offices.
Work in a diverse, merit-driven international environment focused on learning, shared wins, and collective growth.

51-200 employees