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Open nowPosted 1622 days ago

(Junior) Cloud Data Engineer (all genders)

dymatrix15 open roles

Where
Stuttgart, Hamburg
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Your applicationOpen now(Junior) Cloud Data Engineer (all genders)dymatrix · Stuttgart, Hamburg

  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 dymatrix's own form.

The reply lands in your private mailbox

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The clock on this job

Early applications get read.

7.8% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 1.7%1 day
  2. 3.5%3 days
  3. 7.8%7 days
  4. 14.6%14 days
  5. 34.1%30 days
This job: posted 1622 days ago

The posting

Allgemein:

In einem interdisziplinären Projektteam übernimmst Du den Part der technischen Umsetzung von Datenverarbeitungsstrecken in Batch und Realtime. Als Experte für das Data Engineering bist Du im Projekt Ansprechpartner für Kollegen und Kunden. Mit modernen cloud-basierten Technologien generierst Du - KI-unterstützt - innovative Lösungen rund um unsere Produkte.

Wir suchen Dich mit und ohne Berufserfahrung, als (Junior) Data Engineer (all genders) für unsere Standorte in Karlsruhe, Stuttgart, Hamburg, München oder Köln.

Tech Stack:

  • Azure SQL Database, Azure Cosmos DB und Datalake Storage
  • Weitere Komponenten aus dem Azure Stack wie Log Analytics, KeyVault, API Management
  • Azure Portal
  • Unternehmenseigener OpenAI-basierter KI-Assistent
  • Projektverwaltung in JIRA und Confluence

Deine Aufgaben:

  • Entwicklung von Azure Functions in .NET C# zur Abbildung von Datentransformationen in Realtime. REST API
  • Erstellung und Pflege von Azure Data Factory Pipelines zur Automatisierung von Datentransfers.
  • Entwicklung von Azure Databricks Notebooks, insbesondere zur Implementierung von ETL-Prozessen mit PySpark – dabei sind erste Programmierkenntnisse und ein gutes Verständnis für Datenverarbeitung gefragt.
  • Arbeiten mit SQL, inklusive der Durchführung von Qualitätssicherungen, Datenanalysen und gezielten Performanceoptimierungen auf Speichertechnologien wie Cosmos DB, Azure SQL DB und Data Lake Storage
  • Optimierung und Feintuning der Prozesse durch Detailanalysen u. a. mit Log Analytics

Das bringst du idealerweise mit:

  • Erste Kenntnisse Programmierkenntnisse (idealerweise in C#, Python und Pyspark).
  • SQL-Kenntnisse zur Datenanalyse und Qualitätssicherung
  • Verständnis für Cloud-Architekturen und Datenverarbeitungsprozesse
  • Interesse an konzeptionellen Themen rund um Datenmodellierung und ETL-Design
  • Bereitschaft zur Weiterentwicklung in Technologien wie Databricks und Data Factory

Deine Benefits:

  • Modernes Setup – Ergonomische Arbeitsplätze, aktuelle Hard- und Software, Cloudtechnologien und agile Methoden u. a. mit Partnern wie Microsoft und Databricks
  • Interne und externe Schulungen, transparente Karrierepfade (Fach-, Führungs- und Projektlaufbahn) und echte Entwicklungsperspektive
  • Legendäre Teamevents (Ischgl, Sommerfest, Weihnachtsfeier & mehr)
  • Zuschuss zum Wellpass und zum Deutschlandticket
  • Selbstverständlich für uns: Obst, Kaffee, Softdrinks: Vegan, vegetarisch, von Hafer bis Mandel – Alles gratis, alles lecker!
  • Möglichkeit zur Workation im europäischen Ausland
  • Spannende Projekte mit vielfältigen Kunden aus Fashion, E-Commerce, Telekommunikation und Touristik – vom Mittelstand bis zum DAX-Konzern
  • Zentrale Standorte in Stuttgart, München, Köln, Hamburg, Karlsruhe und Berlin
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