Azure Data Engineer: SAP BW & Data Pipeline Expert

Atos

Województwo pomorskie

Remote

PLN 90,000 - 130,000

Full time

14 days+

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Benefits offered by this job

Private medical and dental care
Wellbeing & work-life balance programs
Benefits platform (shopping, cinema,スポ
Co-funding of sports activities

Job summary

Atos is seeking an experienced Data Engineer to join our team in Poland (mostly remote with occasional travel to the Netherlands). You will design and maintain data solutions on Microsoft Azure, building robust pipelines with Azure Data Factory, Microsoft Fabric, Synapse Analytics, and SAP BW while translating business needs into scalable analytics.

This role requires excellent English (B2) and hands-on experience with Azure Data Lake and data integration.

Qualifications

  • Strong experience designing and building data solutions on Microsoft Azure.
  • Proficient with Azure Data Factory, Microsoft Fabric, Synapse Analytics and Data Lake.
  • Solid understanding of ETL/ELT processes and data integration.
  • Excellent command of English (B2).

Responsibilities

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

Skills

Azure
Azure Data Factory
Microsoft Fabric
Synapse Analytics
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 (mostly remote with occasional travel to the Netherlands). You will design and maintain data solutions on Microsoft Azure, building robust pipelines with Azure Data Factory, Microsoft Fabric, Synapse Analytics, and SAP BW while translating business needs into scalable analytics.

This role requires excellent English (B2) and hands-on experience with Azure Data Lake and data integration.

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