Senior Azure Data Engineer - Remote, Build Data Pipelines

Atos SE

Wrocław

Remote

PLN 180,000 - 240,000

Full time

2 days ago
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Benefits offered by this job

Private medical and dental care
Wellbeing programs
Co-funding of sports activities

Job summary

Atos is seeking an experienced Data Engineer to join our team in Poland. You will build and optimize data solutions on Azure, design robust data integration pipelines, and collaborate with stakeholders to translate requirements into scalable technical solutions.

The role focuses on Azure Data Factory, Fabric, Synapse Analytics, and Data Lake, with English proficiency required for global collaboration and reporting.

Qualifications

  • Microsoft Azure (at least 4 years in designing and developing data solutions).
  • Azure Data Factory (at least 4 years of experience).
  • Experience with Microsoft Fabric, Synapse Analytics and Data Lake.
  • Understanding of data integration, ETL/ELT processes, and data pipeline development.
  • Excellent command of English (minimum B2 level).

Responsibilities

  • Build, maintain, and enhance data solutions on the Microsoft Azure platform.
  • Design and implement robust data integration processes and pipelines using Microsoft Fabric and Azure Data Factory.
  • Develop, optimize, and support analytical solutions within Azure Data Lake and Azure Synapse Analytics.
  • Collaborate with business stakeholders to translate business requirements and user stories into technical solutions.
  • Design and develop end-to-end data pipelines and integration frameworks.

Skills

Microsoft Azure
Azure Data Factory
Microsoft Fabric
Synapse Analytics
Azure Data Lake
ETL/ELT
English (B2)

Tools

SAP BW
FPSL

Job description

Atos is seeking an experienced Data Engineer to join our team in Poland. You will build and optimize data solutions on Azure, design robust data integration pipelines, and collaborate with stakeholders to translate requirements into scalable technical solutions.

The role focuses on Azure Data Factory, Fabric, Synapse Analytics, and Data Lake, with English proficiency required for global collaboration and reporting.

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