Azure Data Engineer

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MidFull-time·Umowa o pracę
#340408·Dodano dziś·0
Źródło: Capgemini
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Tech Stack / Keywords

AzureCloudBig DataAWSGCPSoftware DevelopmentSDLCETL

Firma i stanowisko

Capgemini is an AI-powered global business and technology transformation partner with nearly 60 years of heritage, employing over 420,000 team members in more than 50 countries. The company delivers end-to-end services and solutions leveraging expertise across strategy, technology, design, engineering, and business operations, with reported 2025 global revenues of €22.5 billion.

The Insights & Data team delivers state-of-the-art data solutions focusing on Cloud & Big Data engineering across platforms like AWS, Azure, and GCP. They manage the full Software Development Life Cycle (SDLC) of solutions involving data processing tools, programming in Python, Scala, or Java, and DevOps practices. The AI Center of Excellence undertakes Data Science and Machine Learning projects in areas such as Generative AI, NLP, Anomaly Detection, and Computer Vision.


Wymagania

  • At least 3 years of experience in Big Data or Cloud projects involving processing and visualization of large and unstructured datasets across different SDLC phases
  • Practical knowledge of Azure cloud in Storage, Compute (+Serverless), Networking, and DevOps areas supported by commercial project experience
  • Theoretical Azure cloud knowledge supported with certificates such as DP-900, DP-200/201, AZ-204, AZ-400
  • Familiarity with several of the following technologies: Data Lake Gen2, Event Hub, Data Factory, Databricks, Azure DWH, API Azure, Azure Function, Power BI
  • At least basic knowledge of one programming language: Python, Scala, Java, or Bash
  • Very good command of English; German language is an advantage

Obowiązki

  • Design and implementation of solutions processing large and unstructured datasets (Data Lake Architecture, Streaming Architecture)
  • Implementation, optimization and testing of modern DWH/Big Data solutions based on Azure cloud platform and Continuous Delivery / Continuous Integration environment
  • Data processing efficiency improvement, migrations from on-prem to public cloud platforms

Oferta

  • Hybrid working model combining modern office and work from home with ergonomic home office package (laptop, monitor, chair)
  • Access to over 70 training tracks with certification opportunities on the NEXT platform, including GenAI, Architects, Google
  • Free access to Education First languages platform, Pluralsight, TED Talks, Coursera, and Udemy Business materials and trainings
  • Practical benefits including private medical care with Medicover and additional packages (dental, senior care, oncology), life insurance, and 40+ options on NAIS benefit platform including Netflix, Spotify, and Medicover Sport
Elastyczne godziny
Szkolenia wewnętrzne
Opieka zdrowotna
Ubezpieczenie
Karta sportowa

Inne informacje

Capgemini is committed to diversity and inclusion, ensuring fairness in all employment practices by evaluating individuals based on qualifications and performance, not personal characteristics.

Capgemini

Capgemini

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