Senior Data Engineer: Azure & Fabric Solutions Lead

Tenth Revolution Group; København; Sur place; DKK 1 000 000 - 1 300 000; Plein temps

Résumé du poste

Tenth Revolution Group in København seeks an experienced Senior Data Engineer with strong Microsoft Fabric and Azure expertise to design scalable data solutions. This role blends hands-on engineering with leadership, mentoring peers and defining engineering standards, while collaborating with stakeholders to translate business needs into practical data products.

The candidate will build robust data pipelines, ensure data quality, and drive adoption of new analytics capabilities across the

Qualifications

• Senior Data Engineer with hands-on design of scalable data solutions.
• Strong expertise in Microsoft Fabric and Azure data services.
• Experience mentoring engineers and leading technical initiatives.
• Proven ability to gather requirements and translate into data products.

Responsabilités

• Design, develop and optimise data pipelines using Fabric and Azure data services.
• Provide technical leadership through design reviews and mentoring.
• Develop ETL/ELT processes, data models and data quality frameworks.
• Collaborate with stakeholders to translate business needs into solutions.
• Engage end users for UAT and drive adoption of new data products.
• Communicate progress, risks and recommendations to audiences.
• Champion data governance, security, CI/CD and platform optimisation.
• Proven stakeholder management skills and ability to balance priorities.

Connaissances

Microsoft Fabric

Azure data services

SQL

Python/PySpark

Data pipelines

Mentoring

Stakeholder management

Engineering leadership

Outils

Azure Data Factory

Azure Data Lake Storage

Azure SQL

Description du poste

Tenth Revolution Group in København seeks an experienced Senior Data Engineer with strong Microsoft Fabric and Azure expertise to design scalable data solutions. This role blends hands-on engineering with leadership, mentoring peers and defining engineering standards, while collaborating with stakeholders to translate business needs into practical data products.

The candidate will build robust data pipelines, ensure data quality, and drive adoption of new analytics capabilities across the