
Data Transformation Expert
2 days ago
Business Intelligence Engineer Position Overview
Solvar seeks an experienced Business Intelligence Engineer to join its growing BI team. This role is a key part of the company's data transformation journey, focusing on designing pipelines, building dashboards, and delivering insights that drive strategic decisions across the business.
The ideal candidate will have between three to five years of practical experience in business intelligence and data engineering. They must demonstrate a strong track record of designing, developing, and managing BI solutions in a dynamic environment.
Key responsibilities include producing and enhancing recurring and ad-hoc reports that support business units at every level. This involves developing financial dashboards, key performance indicators (KPIs), and other visualisations that provide actionable insights, enabling teams to track progress and make data-driven decisions with confidence.
Another crucial aspect of the job is designing, managing, and optimising Extract, Transform, Load (ETL) processes to ensure the smooth movement and transformation of large data sets from diverse sources.
The successful candidate will maintain the accuracy, security, and reliability of the Data Vault warehouse, ensuring that business-critical data is always accessible, dependably accurate, and ready for analysis.
By applying statistical and analytical methods, the Business Intelligence Engineer will uncover meaningful patterns and emerging trends within the data. This analysis will support customer segmentation initiatives and inform risk profiling, playing a key part in shaping business strategy and improving customer outcomes.
Additionally, they will actively contribute to establishing and refining data governance policies and reporting frameworks. This includes helping to define best practices, set standards, and plan the roadmap for scalable analytics solutions that will grow alongside the business.
The chosen candidate will leverage the Microsoft BI stack—including Power BI, SQL Server, and Azure—to create robust, secure, and scalable business intelligence systems. Collaboration with cross-functional teams is key, as they will design and implement solutions that must deliver real financial value across the organisation.
They will write production-quality, maintainable, and well-tested code as they develop the BI architecture. They will add value in system and solution design discussions, supporting innovation while ensuring that all systems meet the highest standards of quality and performance.
Furthermore, the Business Intelligence Engineer will provide accurate estimations and deliver as committed; maintain visibility of ongoing backlog delivery through agile ceremonies; maintain high professional standards in respecting definition of ready and definition to done, particularly with regards to robust testing, quality control, and minimising defect rates.
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