About the role:
We are recruiting a new BI Engineer position to the team to accommodate the delivery of our expanding workload in support of the broader growth of the business. Linked to the steady growth of the business, we are evolving our data architecture to offer a modern data service with new data sources coming online and redeveloping our data warehouse to align with our projected growth. The current team is small so the role will have exposure to colleagues across Ridge, representing the Data and Analytics team in conversations across the entire business' data estate. Therefore, the role has a broad scope of responsibility, requiring the individual to own projects themselves and deliver end-to-end solutions, with support and discussion shared across the team.
Responsibilities:
Integrating new data sources into the data warehouse, and building in best-practice warehouse design
Staging & shaping data from multiple data sources into reporting and analytical schemas
Experience with data warehouse modelling, designed to accommodate future growth
Creation of technical documentation, capturing development, processes & DW changes
Developing and testing data pipelines
Engaging with stakeholders to elicit requirements, understand how we can meet those needs with data, and translating their business needs into a technical solution
Ongoing support of data analytics platforms
Supporting the growth in the business' data maturity, working on projects and requests in partnership in the Data and Analytics team, wider Technology team, and across the business
Requirements:
Proficiency in SQL, including competency to independently design and implement data models to support reporting and analysis
Experience in data visualisation (particularly Power BI) is advantageous
Experience in MS Fabric is noteworthy but not expected
Experience managing personal workload and independently owning projects from start to completion
Ability to translate business requirements into actionable insights and visualisations, with a strong attention to data quality and validation
Autonomously solve problems, and awareness to highlight changes made and raise issues for discussion in the team
Interest in enabling the business to improve how it operates through a professional application of data
Beneficial but not essential to have experience in governance and security, and python
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