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Open nowPosted 789 days ago

Data Analytics Architect (f/m/d)

Woodmark Consulting GmbH14 open roles

Where
Germany
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Your applicationOpen nowData Analytics Architect (f/m/d)Woodmark Consulting GmbH · Germany

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Woodmark Consulting GmbH's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 57.8%60 days
This job: posted 789 days ago

The posting

We make the world better with data

Die Woodmark Consulting GmbH gehört zu den führenden deutschen IT-Beratungsunternehmen für AI, Data & Analytics. Wir begeistern Menschen durch unsere Leidenschaft für Daten & Innovation. Das Leben unserer Werte Respekt, Offenheit, Vertrauen und Fürsorge sorgt für eine ausgezeichnete Unternehmenskultur und ist die Basis unseres Erfolgs. Nutze auch du deine Leidenschaft für Daten & Innovation und erschließe mit uns deren Potential. So schaffen wir gemeinsam einen Mehrwert für Kunden, Gesellschaft und Umwelt.

Deine bunte Aufgabenpalette

DevOps wird durchgehend gelebt: Du bist in einem DevOps Team verantwortlich für die Definition der Datenmodellierung und die Strukturierung der datenhaltenden Systeme und sorgst im Zusammenspiel mit dem Plattform Architekten für die Abdeckung der Anforderungen an die Datenarchitektur. Anforderungen visualisieren: Basierend auf den Informationen der Fachbereiche entwirfst Du analytische Datenmodelle, um Datenbestände zu integrieren, historisieren und technisch sowie inhaltlich flexibel und erweiterbar zu gestalten. Datenprodukte entwickeln: Anhand deiner Vorgaben transformieren Data Engineers diese auf der Analytics Plattform in werthaltige Datenprodukte, die dann z.B. in Dashboards oder Data Science Modellen verwendet werden.

Was du für deinen Start bei uns brauchst

  • Mindestens 5 Jahre Erfahrung im Datenbankumfeld, exzellentes Datenverständnis und tiefgreifende Kenntnisse in analytischen Architekturen datenhaltender Systeme
  • Exzellente Kenntnisse der unterschiedlichen Datenmodellierungs-Paradigmen Data Vault 2.0, 3NF und Star Schema
  • Exzellente Kenntnisse der unterschiedlichen Analytics-Architekturen Inmon, Kimball, Data Lake, Data Lakehouse und Lambda
  • Solide Kenntnisse in der Datenverarbeitung in der Cloud, insbesondere mit AWS, Databricks, Snowflake , Microsoft Fabric oder dbt
  • Fundierte Kenntnisse in SQL und Python
  • Kenntnisse in den Bereichen Change Data Capture , Data Lineage, Data Catalog, Data Mesh und Metadata Management
  • Exzellentes Datenverständnis, um Datenbestände zu analysieren, zu hinterfragen und in den Kontext größerer Gesamtdatenbestände inhaltlich zu integrieren.

Das hast du auf Lager

Expertise ist selbstverständlich: Du hast Mehrjährige Erfahrung

  • im Umgang mit Datensystemen und der Abbildung von Geschäftslogiken
  • im eigenständigen Erstellen von Konzepten und Entwicklungs-Guidelines
  • in Pilotierung, Konzeption und Aufbau integrierter Datenbestände
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One press. We do the rest.

  1. A CV for this posting

    Written against Woodmark Consulting GmbH's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on Woodmark Consulting GmbH's form

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    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    Woodmark Consulting GmbH's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

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  6. The interview in your calendar

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The numbers game

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