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.
Senior Data Engineer at Livestorm
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.
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Location
Remote
Compensation
€90k-€110k
Company
Livestorm
Role overview
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
I get to know what you’re great at, then find roles you’d never find yourself.Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support.
I recruit from Jack’s network and make the intro when I spot a great match.And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate.
Jack gets to know what you're great at and what you want next, then searches 15 million jobs daily and helps you discover roles at companies like this.
Meet Jack
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.