Data Engineer

The Mission: Building the Foundation for Feedback Analytics

Predict42 is a Mainz-based B2B SaaS company specializing in Feedback Analytics. Our platform, MIGO, helps global enterprises consolidate scattered feedback into clear business decisions. As we transition from a startup to an Enterprise Scale-Up, we need a motivated Data Engineer to help us migrate to a 100% BigQuery-driven architecture and build the structural foundation for our "AI-First" engine.

Your Role & The Tech Stack

You will be a key member of the "Platform" team.

• Modern DWH Migration: Lead the transition of our legacy warehouse operations to BigQuery, ensuring high performance, partitioning, and cost-optimization.
• Declarative Pipelines: Use Dataform to build version-controlled, tested, and reliable SQL-based transformations.
• Self-Service BI & Semantic Layers: Model and structure data to be consumed by modern visual dashboards, apis, and chat interfaces.
• Data Integrity & Contracts: Implement automated validation layers and Data Contracts to ensure that the data driving critical business decisions is always accurate and "inviolable."

Your Profile

• Experience: 2-3 years of professional experience in Data Engineering. You have a track record of working with BigQuery, or you are an expert in comparable warehouse, e.g. Snowflake looking to master the Google Cloud stack.
• Software Mindset for Data: You believe data transformations are software. You write clean, performant SQL and are a fan of version control and CI/CD for data.
• Cloud Enthusiast: You are comfortable in the Google Cloud (BigQuery, Cloud Storage, Pub/Sub, Cloud Run) or any comparable cloud ecosystem.
• State-of-the-Art Knowledge: You understand modern paradigms like Data Lakehouse architectures and how to build decoupled, scalable data models.
• Mainz-Based: You value in-person collaboration with a high-caliber team and want to be part of the rising tech community in the Rhein-Main region.

Why Predict42?

• 20% Tech-Debt Rule: We don’t sacrifice long-term stability for short-term features. We reserve 20% of every sprint for refactoring and architectural cleanup.
• Learning & Mentorship: Work directly with our Platform Lead and CTO to master modern data stack principles in an AI-First environment.
• Impactful Work: You aren't just building "reports"—you are building the pipes that make "Zero-Shot Intelligence" possible for world-class organizations.

Additional Information

• Employment Type: Vollzeit, Teilzeit
• Salary: ab 4.000,00€ pro Monat
• Benefits: Betriebliche Altersvorsorge, Betriebliche Weiterbildung, Erfolgsbeteiligung, Firmenevents, Flexible Arbeitszeiten, Homeoffice-Möglichkeit, Kostenlose Getränke, Kostenloser Parkplatz, Mentoring-Programm für Mitarbeiter
• Relocation: 55122 Mainz: bereit sein zu pendeln oder vor Antritt der Stelle einen Umzug zu planen (Erforderlich)
• Language: Deutsch (Erforderlich)
• Work Location: Zum Teil im Homeoffice in 55122 Mainz