Senior Data Engineer

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

Senior Data Engineer

Manchester/Remote-on site once a month

£57,650

A Senior Data Engineer is required for our not-for-profit client who are based in Manchester. The successful candidate is required to design, develop and optimise the organisation's modern data platform, ensuring trusted, secure and high-quality data is available to support reporting, business intelligence, analytics and AI-driven decision making. You will work closely with business stakeholders, analysts, architects and technical teams and you will develop scalable data solutions using Microsoft Fabric, Azure Synapse Analytics and Microsoft data integration technologies. This is a key role in enabling the collection, transformation, storage and delivery of data from multiple internal and external sources, helping the organisation maximise the value of its data assets. This is an exciting opportunity for someone who enjoys solving complex technical challenges, building modern cloud-based data solutions and driving innovation through data.

Key Responsibilities/Experience:

• Design, develop and maintain scalable data pipelines, integrations and data solutions using Microsoft Fabric, Azure Synapse Analytics and related Microsoft technologies.
• Build and optimise ETL and ELT processes.
• Design and maintain data lake, Lakehouse, data warehouse and semantic model architectures.
• Develop robust integrations between cloud-based and on-premise systems, ensuring data is accessible, secure and reliable.
• Implement data quality controls, monitoring processes, governance standards and security measures.
• Support the modernisation of legacy reporting and data platforms, helping drive the adoption of Microsoft Fabric and cloud-based technologies.
• Collaborate with Business Intelligence developers, analysts and stakeholders.
• Produce high-quality technical documentation, solution designs and operational procedures while contributing to platform enhancement and continuous improvement activities.

Skills:

• Passionate about data engineering & using modern technologies.
• Committed to continuous learning and keeping up to date with emerging data, and AI technologies.
• Driven by high standards and motivated to deliver secure, reliable and scalable data solutions that add value to the organisation.

Skills and Experience:

• Strong experience developing enterprise data solutions using Microsoft Fabric, Azure Synapse Analytics and Microsoft cloud technologies.
• Advanced SQL skills with experience designing, developing and optimising data pipelines, ETL/ELT processes and large-scale data solutions.
• Strong understanding of data warehouse, data lake and Lakehouse architectures, including data modelling techniques such as star schema and dimensional modelling.
• Experience building secure, scalable and high-performing data platforms that support reporting, analytics and business intelligence requirements.
• Desirable experience supporting AI, machine learning or advanced analytics initiatives.
• Knowledge of data governance, data quality, security principles and regulatory compliance requirements.
• Experience working with Power BI semantic models, reporting solutions and modern analytics platforms.
• Experience integrating multiple business systems, applications and third-party data sources using cloud-based technologies.
• Desirable experience with Azure Data Factory, Microsoft Purview, Python, Spark, DataOps, DevOps, AI platforms or large-scale cloud modernisation projects