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Senior Data Engineer at Livestorm
- Location
- Remote
- Compensation
- €90k-€110k
Join their new AI team to build and operate the real-time pipelines—using Kafka, Pinot, and Trino—that power engagement metrics for millions of users.
This is a high-impact, hands-on role where you will define product data contracts and build the experimentation foundation behind the world's leading video meeting platform. If you're ready to make a decade of data sing for customers while working in a collaborative €110K CET-based role, apply now.
What's the next step?
This role is no longer actively hiring, but Jack can still help you discover similar open roles that fit.
Role overview
As a Senior Data Engineer, you will own the real-time product analytics layer, transforming millions of interactions into actionable in-product insights. You will build and operate high-scale pipelines using Kafka, Pinot, and Spark to power customer-facing metrics and experimentation infrastructure, ensuring data is trustworthy, fresh, and impactful for global users.
About Livestorm
Simple and intuitive, Livestorm is the #1 platform for hosting engaging webinars. Empower your teams to create dynamic webinar experiences in minutes with a fully customizable platform designed for modern marketing teams.
Whether you’re running product demos, live marketing events, or online training sessions, Livestorm provides a unified platform built for professional engagement at scale.
Customization: Tailor every event with custom layouts, branded backgrounds, and seamless integrations with your existing tools.
Efficiency: Benefit from a true plug-and-play experience with CRM integrations and marketing automation workflows.
Engagement: Drive interaction with live Q&A, polls, virtual whiteboards, chat, and collaborative features designed to keep audiences involved.
Scalability: From small meetings to events with thousands of attendees, Livestorm scales with your needs through multilingual support and unlimited replay storage.
Security: Hosted on European servers and ISO 27001 certified, Livestorm ensures enterprise-grade data security while delivering a complete webinar experience.
What you will do
- Design and operate production-grade data pipelines using Kafka, Spark, and Airflow to power customer-facing engagement and retention metrics.
- Architect and maintain the experimentation foundation, providing the infrastructure for statistically sound A/B testing and product analysis.
- Define and enforce product data contracts and schemas to ensure seamless integration between operational services and the analytical layer.
Who this is a fit for
- Extensive experience building and operating real-time event streaming systems at scale using Kafka, Spark, and modern OLAP engines like Pinot or ClickHouse.
- Proficient in Python, Java, or Go for production services, with a deep understanding of containerization, Kubernetes, and observability practices.
- Strong background in dimensional data modeling and SQL performance tuning, paired with a statistically literate mindset for rigorous product analysis.
Why this role is remarkable
- Lead the “Entropy” stack, owning the end-to-end flow from Kafka ingestion to real-time OLAP serving via Apache Pinot and Trino.
- Join a high-growth Series B startup with deep traction, trusted by Fortune 500s and backed by a decade of historical video interaction data.
- High-impact ownership: you aren’t just managing internal BI; you are building the actual features and experimentation engines that drive product decisions.
How Jack & Jill work together
What happens next?
Jack’s an AI agent for job searching and career coaching. He works for you.
Jill is the AI recruiter working for the company. She recruits from Jack’s network.
If your profile’s a match and Livestorm wants to meet, Jill will make the intro. In the meantime, Jack will send you excellent alternatives.