Senior Azure Data Engineer - ADF & SAP BW (Remote)

Atos; Wrocław; Remote; PLN 210,000 - 320,000; Full time

Benefits offered by this job

Private medical and dental care

Wellbeing programs & work-life balance

Co-funding of sports activities (Mults

OK system cards, b-active program

Job summary

Atos in Poland is seeking an experienced Data Engineer to join our Azure-focused team. You will design, build and optimize data pipelines on Microsoft Azure, leveraging Azure Data Factory, Microsoft Fabric, Synapse Analytics and Data Lake to enable robust analytics across the business.

Responsibilities include collaborating with stakeholders, translating requirements into scalable data solutions, and supporting data integration across cloud environments.

Qualifications

• Microsoft Azure experience: 4+ years designing and building data solutions.
• Azure Data Factory: 4+ years experience.
• Experience with Microsoft Fabric, Synapse Analytics and Data Lake.
• Understanding of ETL/ELT and data pipelines.
• Excellent English skills (B2).

Responsibilities

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

Skills

Azure

Azure Data Factory

Microsoft Fabric

Synapse Analytics

Data Lake

ETL/ELT

English (B2)

Tools

Microsoft Azure

Azure Data Factory

Fabric

Synapse

Data Lake

SAP BW

Job description

Atos in Poland is seeking an experienced Data Engineer to join our Azure-focused team. You will design, build and optimize data pipelines on Microsoft Azure, leveraging Azure Data Factory, Microsoft Fabric, Synapse Analytics and Data Lake to enable robust analytics across the business.

Responsibilities include collaborating with stakeholders, translating requirements into scalable data solutions, and supporting data integration across cloud environments.