Job Description
Responsibilities
- Designing, building and maintaining the enterprise semantic layer for high-performance reporting and analytics
- Leading the delivery of a performance management framework with certified metrics and a single version of the truth
- Developing and optimising Power BI datasets and reports, applying advanced performance, security and usability best practices
- Implementing row-level security and access controls to protect sensitive data
- Partnering with Data Modellers and Engineers to translate complex requirements into scalable technical solutions
- Prototyping and validating designs using Databricks (SQL, Python, PySpark)
- Establishing scalable BI build, release and deployment processes, including monitoring and issue resolution
- Embedding data governance, data quality and compliance standards into BI solutions
- Managing and mentoring BI Engineers, supporting skills development and career growth
- Promoting knowledge sharing, best practice and continuous improvement across the BI community
- Actively contributing to agile ceremonies and driving iterative delivery and innovation
Requirements
- 5+ years' experience in BI, data engineering or analytics roles
- Experience managing or leading technical delivery and resources
- Advanced experience with Power BI, including semantic modelling and performance tuning
- Strong hands-on experience with Databricks (SQL, Python, PySpark)
- Excellent understanding of data quality, governance and security
- Experience working with modern data platforms, including Azure Data Lake and Delta Lake
- Strong background in data warehousing, reporting and analytics
- Experience with relational and dimensional data modelling
- Ability to gather, document and translate business requirements into high-value BI solutions
- Confidence using agile delivery methods and tools such as Jira and Confluence
- Excellent communication, stakeholder management and mentoring skills
- A proactive, self-managing approach and a passion for improving how BI is delivered at scale