We are looking for a Senior Data Engineer to shape and scale our open lakehouse data platform built on Snowflake (compute) and Apache Iceberg tables on AWS S3. You’ll own end‑to‑end design and evolution of robust, scalable pipelines that power analytics, ML, and customer‑facing features across our SaaS digital advertising products.
You’ll collaborate with Product and Engineering to keep systems performant, reliable, and business aligned. You’ll ship hands‑on, lead technical design, run code reviews, and mentor others in modern data engineering practices.
To thrive here, you need deep expertise in open lakehouse architectures—Snowflake as compute plus Apache Iceberg on cloud object storage—and hands‑on production experience with:
You’re passionate about clean, efficient architecture and have a proven track record building and operating production‑grade open lakehouses. You raise the bar through high‑quality delivery, team collaboration, and lasting improvements in reliability and engineering culture.
Factor Eleven’s tech department is the in‑house tech scale‑up responsible for our SaaS product suite offering localized digital advertising to enterprises of all sizes and shapes. We’re powering the engine that Factor Eleven is successfully built upon and elevate the possibilities of our product on a daily basis. We’re working together to fulfill our ambitions as a top ad‑tech provider by continuously leveling up the quality and expanding capabilities of the entire platform, as well as our engineering and product organization.
Join our amazing team in our mission to move digital localized advertisement forward and enjoy the freedom, camaraderie, and perks of our fully remote operations.
Please note that you need to be residing in and hold a work permit of a country in the European Union to be considered for this role.
Location: Frankfurt am Main, Hesse, Germany / Cologne, North Rhine‑Westphalia, Germany
#J-18808-LjbffrVeröffentlichungsdatum:
22 Dez 2025Standort:
WorkFromHomeTyp:
VollzeitArbeitsmodell:
Vor OrtKategorie:
Erfahrung:
2+ yearsArbeitsverhältnis:
Angestellt
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