Data Engineering Lead, Agentic Infrastructure

Brockschnieder & Stratmann GbR; Düsseldorf; Hybrid; EUR 95.000 - 130.000; Vollzeit

Zusammenfassung

vivenu is seeking a Data Engineering Lead for Agentic Infrastructure to guide a pod of engineers, set data strategy, and serve as the technical authority across data initiatives. You will drive scalable data foundations and enable AI capabilities within internal and product teams.

You will shape data governance, pipelines, and architecture at scale, ensuring secure, reliable data access and contributing to AI-enabled customer experiences across a global platform.

Qualifikationen

• 8+ years of hands-on experience in Data Engineering, building modern data stacks, central data warehouses, and high-throughput data pipelines.
• A track record of technically leading and elevating small teams while remaining deeply hands-on.
• Proven ability to design company-wide data architectures and act as the principal technical decision-maker for complex data systems.
• Strong understanding of how to structure, model, and pipeline data specifically to support AI, machine learning, and advanced analytics adoption.
• Excellent communication skills with the ability to partner with internal stakeholders to centralize and streamline all business data requests.
• Familiarity or hands-on experience with Agentic AI technologies, specifically building infrastructure where autonomous agents and AI models can learn, access data, and execute tasks.

Aufgaben

• Build the foundation: Design, architect, and build our highly scalable internal data platform and core data warehouse, centralizing data across all internal tools and systems. Ensure that every data initiative goes through your team and aligns with our overarching architecture and scalability standards.
• Lead & mentor: Provide technical leadership, architectural guidance, and hands-on mentorship to a high-impact team of engineers.
• Drive company-wide AI adoption: Build the robust, reliable data pipelines and infrastructure required to power our internal AI initiatives, enabling intelligent tooling and automation.
• Scale for the future: Establish a future-proof technical foundation that initially optimizes internal operations, with a clear roadmap to expand into core product features.
• Establish operational excellence: Implement data governance, data lineage, observability, and strict quality controls to ensure the data platform is reliable and trusted.

Kenntnisse

8+ years Data Engineering

Lead small teams

Data architectures

AI data pipelines

Strong communication

Agentic AI tools

Tools

Agentic AI tools

Jobbeschreibung

Frankfurt/Düsseldorf

Product & Development

Full time

Hybrid

Redefine the future of live entertainment tech

Welcome to vivenu, the global leader in event ticketing tech and one of the world’s fastest-growing live entertainment tech firms. We are transforming event ticketing for global leaders like the Grammys, the Golden Globes, Stanford University and the Hockenheimring turning what was once a simple transaction into a strategic business advantage. Backed by over $65 million in funding, our platform empowers event organizers to own their brand experience, unlock deep data insights, and seamlessly integrate ticketing into their digital infrastructure.

With six offices worldwide and growing, we deliver a customizable, intuitive solution and industry-leading support that simplify even the most complex ticketing challenges - helping organizers deliver exceptional experiences and drive real growth.

Join us and build the future of live entertainment.

With over 10 million end users and usage quadrupling annually, our infrastructure now handles over 1 billion requests per month - and counting. Our API-first platform solves complex system challenges at scale - delivering performance, flexibility, and reliability for the world’s leading live entertainment brands.

Data Engineering Lead, Agentic Infrastructure (d/f/m)

As a Data Engineering Lead, Agentic Infrastructure, you will be the foundational technical leader of our data organization, guiding a dedicated pod of engineers in the future. You will act as the technical authority and central hub for all data initiatives across the company, ensuring a cohesive, secure, and scalable data strategy.

By building this scalable technical foundation, you will pave the way for company-wide AI adoption. As the internal platform maturing, your scope will likely expand to drive robust data and AI capabilities directly into our customer-facing products.

Responsibilities

• Build the foundation: Design, architect, and build our highly scalable internal data platform and core data warehouse, centralizing data across all internal tools and systems. Ensure that every data initiative goes through your team and aligns with our overarching architecture and scalability standards.
• Lead & mentor: Provide technical leadership, architectural guidance, and hands-on mentorship to a high-impact team of engineers.
• Drive company-wide AI adoption: Build the robust, reliable data pipelines and infrastructure required to power our internal AI initiatives, enabling intelligent tooling and automation.
• Scale for the future: Establish a future-proof technical foundation that initially optimizes internal operations, with a clear roadmap to expand into core product features.
• Establish operational excellence: Implement data governance, data lineage, observability, and strict quality controls to ensure the data platform is reliable and trusted.

What You Will Need To Succeed In This Role

• 8+ years of hands-on experience in Data Engineering, building modern data stacks, central data warehouses, and high-throughput data pipelines.
• A track record of technically leading and elevating small teams while remaining deeply hands-on.
• Proven ability to design company-wide data architectures and act as the principal technical decision-maker for complex data systems.
• Strong understanding of how to structure, model, and pipeline data specifically to support AI, machine learning, and advanced analytics adoption.
• Excellent communication skills with the ability to partner with internal stakeholders to centralize and streamline all business data requests.
• Familiarity or hands-on experience with Agentic AI technologies, specifically building infrastructure where autonomous agents and AI models can learn, access data, and execute tasks.

Why join vivenu?

Live Entertainment Tech

Play a mission-critical role for global brands, redefining fan experiences from festivals to major sports events. Here, you’re part of the business of fun - powered by cutting-edge technology that brings moments to life for millions.

Sustainable Growth

We scale sustainably on a profitable, VC-backed foundation with true product-market fit. This means continuous investment in our people, products, and long-term vision.

Top-tier Team

Collaborate with over 160 dedicated professionals, including leaders from Google, Slack, and Salesforce. Together, we’re shaping the future of live entertainment technology, one decision at a time.

Global DNA

We’re a diverse, merit-driven team spread across six global offices. Talent and impact are what matter here - not hierarchy or background.

Fast Growing, in All Aspects

Sifted consistently ranks us among the fastest-growing scale-ups in Europe. We’re driven by daily learning, shared wins, and collective growth.

Next-Gen Leaders & Insights

Work alongside some of tech’s brightest minds - from Forbes 30 Under 30 founders to Executive of the Year award winners. At vivenu, you’ll help set the standard for the ticketing industry’s future.

vivenu Inclusion Statement

At vivenu, we believe our people define our success – and that we win with bold, diverse minds. The strongest teams are built on different perspectives, experiences, and voices. We’re committed to creating a workplace where everyone feels empowered to contribute, grow, and thrive to shape the future of live entertainment globally.

Check out our mission statement and corporate values here.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analysing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgement. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.