Overview
The Data Engineer will focus on developing and maintaining scalable data pipelines and analytical solutions that support business planning and strategic decision-making. The contractor will work closely with business stakeholders to investigate data trends and provide evidence-based recommendations, while also ensuring data quality and governance processes are established. This remote position may require occasional travel to Berkshire.
Responsibilities
- Develop and maintain scalable data pipelines and analytical solutions.
- Extract, transform, and integrate complex datasets from multiple sources.
- Build structured data models and reporting datasets for analysis.
- Collaborate with business stakeholders to investigate data trends and provide recommendations.
- Establish robust data quality, validation, and governance processes.
- Communicate findings clearly to technical teams and senior stakeholders.
Requirements
- 8–10 years' experience in data engineering with a record of delivering complex data solutions.
- Strong hands-on experience with Microsoft Azure technologies, including Microsoft Fabric and Lakehouse architecture.
- Advanced SQL skills and experience with Python and PySpark for data processing.
- Understanding of the UK wealth management and financial planning sector.
- Proven ability to translate business requirements into data models and insights.