Principal Data Engineer - Ranking & Visibility (all genders)

Berlinonsiteprincipal

Posted today · via Workday

About this role

THE ROLE & THE TEAM As a Principal Data Engineer in our team, you will serve as the data architecture, data modeling, and engineering backbone that powers our analytics, statistical modeling, and data-driven products. You will transform complex, high-volume upstream datasets, including event tracking, into clean data layers utilized directly by Applied Scientists and Analysts. Your work will bridge the gap between raw data streams and production execution, translating complex upstream event signals into high-impact modeling inputs. Unlike a traditional data engineering role focused solely on infrastructure, this position carries an equally important mandate in data modeling and collaborative model productionization.…

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What we'd score you on

reqspace match rubric

Five dimensions, recruiter-grade. Upload your resume and we'll generate a written explanation of where you fit and where the gaps are.

1

Skills match

For this role: python, sql, spark, pyspark, flink…

2

Level fit

This role is principal-level. We check your trajectory against it.

3

Domain experience

Your work in the role's domain matters more than your years total. We weight recent and direct experience.

4

Recency

A skill you used last quarter weighs more than one from five years ago. We grade on recency, not lifetime.

5

Location fit

This role is based in Berlin. We weight your proximity and willingness to relocate.

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Skills in this role

Pulled from the job description. These are the keywords we'll weight when scoring your fit.

pythonsqlsparkpysparkflinkairflowteams

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