Senior Data Engineer - Cloud Data Platform & AI Enablement

Reed Technology; Ringway; Hybrid; GBP 52,000 - 63,000; Full time

Job summary

Reed Technology in Manchester is seeking a Senior Data Engineer to design, develop and optimise a modern data platform. You will work with stakeholders to deliver trusted, secure data for reporting, BI and analytics, using Microsoft Fabric, Azure Synapse Analytics and related Microsoft technologies.

The role involves building scalable data pipelines, ETL/ELT processes, and data lakehouse architectures, integrating cloud and on-premises sources, ensuring data quality and governance, and

Qualifications

• Experience delivering enterprise-scale data solutions using Microsoft Fabric and Azure Synapse.
• Strong SQL skills and data modeling knowledge.
• Experience building data pipelines, ETL/ELT, and data lakehouse architectures.
• Familiarity with cloud data governance and security principles.
• Experience with Power BI semantic models is a plus.

Responsibilities

• Design, develop and optimise scalable data pipelines and data solutions.
• Implement ETL/ELT processes and data integration.
• Design data lake, data warehouse and semantic models.
• Integrate cloud-based and on-premise systems securely.
• Ensure data quality, governance and compliance.
• Collaborate with BI developers, analysts and stakeholders.
• Create technical documentation and solution design artefacts.

Skills

Microsoft Fabric

Azure Synapse Analytics

SQL

ETL/ELT pipelines

Data Lakehouse

Data governance

Tools

Azure Data Factory

Power BI

Python

Spark

DevOps

Purview

Job description

Reed Technology in Manchester is seeking a Senior Data Engineer to design, develop and optimise a modern data platform. You will work with stakeholders to deliver trusted, secure data for reporting, BI and analytics, using Microsoft Fabric, Azure Synapse Analytics and related Microsoft technologies.

The role involves building scalable data pipelines, ETL/ELT processes, and data lakehouse architectures, integrating cloud and on-premises sources, ensuring data quality and governance, and