Data Engineer (Azure/Microsoft Fabric Environment) at Praesignis

Job Description

• The Data Engineer will design, develop and maintain scalable data solutions that support the organisation's data and analytics strategy. The role focuses on building reliable data pipelines, maintaining a Single Source of Truth (SSOT) data platform, improving data quality and enabling Power BI reporting through curated, analytics-ready datasets. The successful candidate will leverage Microsoft Fabric and Azure technologies to deliver secure, efficient and cloud-based data solutions.

Key Responsibilities

Data Engineering & Integration

• Design, develop and maintain data pipelines integrating data from multiple source systems.
• Build and optimise ETL/ELT processes and automated data ingestion workflows.
• Monitor and support data integration processes.

Datamart & Data Quality

• Support the development of the SSOT Datamart.
• Develop dimensional data models aligned to reporting requirements.
• Implement data quality, validation and standardisation processes.

Cloud & Analytics Enablement

• Develop solutions using Microsoft Fabric and Azure data services.
• Support migration of data assets to cloud platforms.
• Prepare and optimise datasets for Power BI reporting and analytics.

Collaboration & Delivery

• Work with business, Data Governance and BI teams to deliver data solutions.
• Translate business requirements into technical solutions.
• Contribute to Agile delivery and Azure DevOps practices.

Required Skills

• Microsoft Fabric and Azure Data Services.
• SQL, ETL/ELT development and data integration.
• Data warehousing and dimensional modelling.
• Power BI datasets and semantic models.
• Azure DevOps, Git and CI/CD.

Performance Criteria

• Reliable and automated data pipelines.
• Timely delivery of data integration and transformation components.
• Successful delivery of SSOT Datamart capabilities.
• High-quality datasets optimised for Power BI.
• Improved data quality and reduced manual effort.