About Our Client
This role is with a well-established organisation within the Utilities sector. The company is a medium-sized business that is committed to leveraging technology to enhance its operational efficiency and data capabilities.
Job Description
* Lead end‑to‑end data migration across Finance systems, including strategy, design, execution, remediation, and quality validation.
* Architect, develop, and optimise scalable Azure/Databricks data pipelines and lakehouse solutions, improving performance, automation, and maintainability.
* Provide technical leadership across multi‑disciplinary teams, guiding engineers, analysts, and vendors while uplifting delivery capability and standards.
* Redesign and modernise existing EDA pipelines and data models, removing technical debt, enhancing reliability, and enabling trusted analytics and Power BI self‑service.
The Successful Applicant
A successful Lead Data Engineer should have:
* Extensive hands on experience with Databricks.
* A successful track record leading large-scale data migration projects- ideally within Finance systems (nice to have).
* Strong hands‑on expertise in data engineering, including ETL/ELT design, data modelling, and integration patterns.
* Demonstrated ability to manage multiple priorities under pressure, with excellent analytical and problem-solving skills.