Senior Azure Data Engineer — Remote & Data Pipeline Expert

Atos; Bydgoszcz; Remote; PLN 210,000 - 240,000; Full time

Benefits offered by this job

Courses & certifications

Wellbeing programs

Private medical and dental care

Benefits platform

Sports activity subsidies

Job summary

Atos in Poland is seeking an experienced Data Engineer to join a mainly remote team, with occasional trips to the Netherlands. You will design and maintain data solutions on the Azure platform, building robust data pipelines and integrating data across systems.

You will collaborate with stakeholders to translate requirements into scalable analytics on Azure Data Lake and Synapse, leveraging Fabric, Data Factory, and other Microsoft technologies.

Qualifications

• 4+ years designing and developing data solutions on Azure.
• 4+ years with Azure Data Factory.
• 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 optimize 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 into technical solutions.
• Design and develop end-to-end data pipelines and integration frameworks.

Skills

Data integration

ETL/ELT

Data pipelines

English B2

Azure Cloud

Tools

Azure Data Factory

Microsoft Fabric

Synapse Analytics

Data Lake

Job description

Atos in Poland is seeking an experienced Data Engineer to join a mainly remote team, with occasional trips to the Netherlands. You will design and maintain data solutions on the Azure platform, building robust data pipelines and integrating data across systems.

You will collaborate with stakeholders to translate requirements into scalable analytics on Azure Data Lake and Synapse, leveraging Fabric, Data Factory, and other Microsoft technologies.