Senior Data Engineer - Azure Data Factory (Hybrid)

Atos; Opole; Hybrid; PLN 120,000 - 180,000; Full time

Benefits offered by this job

Wellbeing programs

Private medical and dental care

Benefits platform

Hybrid working mode

Certifications opportunities

Job summary

Atos is seeking a Data Engineer Azure DevOps to join a multidisciplinary DevOps team and translate data into valuable insights for decision-making. You will design data solutions on Azure, develop dashboards and datasets, and act as a bridge between IT and business.

The role requires hands-on Azure Data Factory work and a proactive, communicative mindset. You will contribute to a modern data platform with Bronze, Silver, and Gold layers, delivering scalable, well-monitored data products and

Qualifications

• Bachelor's degree is required.
• Hands-on experience with Microsoft Azure Data Factory (2 years).
• Strong knowledge of Azure data tooling and data platforms.
• Excellent communication and advisory skills for stakeholders.

Responsibilities

• Design and build data solutions on the Microsoft Azure platform.
• Develop and optimize information products (dashboards, datasets).
• Collaborate with internal stakeholders, bridging IT and business.
• Ensure solutions are efficient, scalable, and maintainable.
• Contribute to a modern data platform (Bronze, Silver, Gold layers).
• Deliver reliable, well-monitored, high-value data products.

Skills

Azure Data Factory

Proactive mindset

Stakeholder communication

Azure data tooling

Education

Bachelor's degree

Job description

Atos is seeking a Data Engineer Azure DevOps to join a multidisciplinary DevOps team and translate data into valuable insights for decision-making. You will design data solutions on Azure, develop dashboards and datasets, and act as a bridge between IT and business.

The role requires hands-on Azure Data Factory work and a proactive, communicative mindset. You will contribute to a modern data platform with Bronze, Silver, and Gold layers, delivering scalable, well-monitored data products and