Senior Data Engineer

Reed; Lewes; Hybrid; GBP 70,000 - 100,000; Full time

Job summary

Reed is seeking a Senior Data Engineer to design, build and scale enterprise data solutions in the UK. You will own end-to-end data pipelines, leverage Azure data services and Microsoft Fabric, and collaborate with stakeholders to deliver reliable analytics capabilities.

You will mentor colleagues, drive data governance and best practices, and participate in architectural decisions while enabling Power BI-powered insights for the business.

Qualifications

• Proven experience designing scalable data platforms and ETL/ELT pipelines.
• Strong knowledge of Azure data services and modern data warehousing concepts.
• Hands-on Python or PySpark development.
• Hands-on with Microsoft Fabric, Azure Synapse Analytics and Azure Data Factory.
• Excellent communication and stakeholder management.

Responsibilities

• Design, build and optimise data pipelines and ETL/ELT processes.
• Work with structured and unstructured data from diverse sources.
• Support data warehouses, lakehouses and analytical platforms.
• Collaborate with analysts, developers and business stakeholders.
• Ensure data governance, security and quality practices.
• Mentor junior team members.
• Lead projects or initiatives in data engineering.

Skills

Strong communication

Stakeholder management

Mentoring

Problem solving

Tools

Microsoft Fabric

Azure Synapse Analytics

Azure Data Factory

Python

PySpark

Power BI

Job description

Hybrid Working (2 Days On-Site with Flexibility)

We're looking for a Senior Data Engineer to join a growing team that is investing heavily in its modern data platform and cloud capabilities. This is an excellent opportunity to play a key role in designing, building, and enhancing enterprise-scale data solutions using the latest Microsoft technologies.

If you're passionate about data engineering and have strong experience with Microsoft Fabric, we'd love to hear from you.

The Role

As a Senior Data Engineer, you'll be responsible for developing and maintaining scalable data platforms, pipelines, and integrations that support critical business functions. You'll work closely with stakeholders across the business to deliver reliable, high-quality data solutions while helping shape the future direction of the data estate.

Key Responsibilities

• Design, build, and optimise data pipelines and ETL/ELT processes
• Work with structured and unstructured data from a variety of sources
• Support the development of data warehouses, lakehouses, and analytical platforms
• Collaborate with data analysts, developers, and business stakeholders
• Ensure data quality, governance, security, and performance best practices are followed
• Contribute to architectural decisions and continuous improvement initiatives
• Mentor junior team members where appropriate
• Strong commercial experience as a Data Engineer
• Hands-on experience with Microsoft Fabric (essential)
• Experience working within Azure data environments
• Experience with Python and/or PySpark
• Knowledge of Azure Synapse Analytics and Azure Data Factory
• Experience building and maintaining data pipelines and data integration solutions
• Understanding of modern data warehousing and lakehouse concepts
• Excellent communication and stakeholder management skills
• CI/CD and DevOps practices
• Data governance and security experience
• Experience with Power BI
• Experience leading projects or mentoring colleagues