Senior Data Engineer
Summary
Build and maintain Azure-based data pipelines, lakes, and warehouses, and deliver Power BI reports to support scalable analytics and business intelligence.
I am working with a forward-thinking organisation that is modernising its data platform to support scalable analytics and business intelligence across the Group. With a strong focus on Microsoft technologies and cloud-first architecture, they are looking to bring on a Data Engineer to help design and deliver impactful data solutions using Azure.
This is a hands-on role where you will work across the full data stack, collaborating with architects, analysts, and stakeholders to build a future-ready platform that drives insight and decision-making.
In this role, you will be responsible for:
- Building and managing data pipelines using Azure Data Factory and related services.
- Building and maintaining data lakes, data warehouses, and ETL/ELT processes.
- Designing scalable data solutions and models for reporting in Power BI.
- Supporting data migration from legacy systems into the new platform.
- Ensuring data models are optimised for performance and reusability.
To be successful in this role, you will have:
- Hands-on experience creating data pipelines using Azure services such as Synapse and Data Factory.
- Reporting experience with Power BI.
- Strong understanding of SQL, Python, or PySpark.
- Knowledge of the Azure data platform including Azure Data Lake Storage, Azure SQL Data Warehouse, or Azure Databricks.
Package and role details include:
- Salary up to £70,000
- Pension scheme and private healthcare options
- Opportunities for training and development
Salary: Up to £70,000
Salary up to £70,000
Salary up to £70,000
Salary up to £70,000
Salary up to £70,000
This is just a brief overview of the role. For the full details, simply apply with your CV and I’ll be in touch to discuss it further.