2 месяца назад
Data Engineering Lead, Agentic Infrastructure (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Engineering Lead, Agentic Infrastructure (AI): Designing and architecting a highly scalable internal data platform and core data warehouse with an accent on AI adoption and autonomous agent infrastructure. Focus on building robust data pipelines, implementing data governance, and leading a high-impact engineering pod to enable company-wide AI capabilities.
Location: Must be based in Germany (Remote/Hybrid)
Company
Global leader in event ticketing tech transforming transactions into strategic business advantages for major brands like the Grammys and Golden Globes.
What you will do
- Design, architect, and build a scalable internal data platform and central data warehouse.
- Provide technical leadership, architectural guidance, and mentorship to a dedicated pod of engineers.
- Develop robust data pipelines and infrastructure required to power internal AI initiatives.
- Establish a future-proof technical foundation to optimize internal operations and expand into customer-facing products.
- Implement data governance, data lineage, observability, and strict quality controls.
Requirements
- 8+ years of hands-on experience in Data Engineering, building modern data stacks and high-throughput pipelines.
- Proven track record of technically leading and elevating small teams while remaining hands-on.
- Ability to design company-wide data architectures as the principal technical decision-maker.
- Strong understanding of data modeling specifically to support AI, machine learning, and advanced analytics.
- Familiarity or experience with Agentic AI technologies and autonomous agent infrastructure.
- Must be based in Germany.
Culture & Benefits
- Opportunity to work in the live entertainment tech industry for global brands.
- Sustainable growth within a profitable, VC-backed scale-up.
- Collaboration with a top-tier team including alumni from Google, Slack, and Salesforce.
- Diverse, merit-driven global environment across six worldwide offices.
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