Data Engineer (m/w/d)

Berlinhybridmid

via Personio

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About this role

Was dich erwartet Du wirst die Data-Ingestion plus Daten-Schichten ownen, die unsere Analytics, Compliance und AI-Arbeit speisen. Du reportest direkt an den VP Engineering, AI und Data. Deine Aufgaben: Ingestion Layer: Airbyte (o.ä.) Connectoren, Custom Extractoren wo Airbyte nicht reicht, Scheduling, Retry Semantik, Observability. Move von Full Sync auf Delta wo es sich lohnt. Bronze und Silver in Databricks: clean, contracted, monitored. Die Boundary setzen auf der die dbt Modelle des Analytics Engineers aufbauen. Schema-Contracts zwischen Backend Plattform und Daten Plattform, die Incidents verhindern. Data Quality und Reliability Tooling: Tests, Alerts, Schema Change Notifications, Lineage. Compliance Enablement: technische Umsetzung von Löschkonzept, DSAR, VVZ.…

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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.

Skills match

For this role: r, dart, snowflake, databricks, bigquery…

Level fit

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

Domain experience

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

Recency

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

Location fit

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

Score yourself on this role.

Free · no card · written explanation included

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Skills in this role

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

rdartsnowflakedatabricksbigquerydbtfivetran

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