Developer - 2

About Metayb Metayb is a digital transformation company on a mission to transform seamlessly by empowering organisations to navigate the vast landscape of the digital-first era. We have grown into a close-knit family of 500+ employees , each possessing rich field expertise. Metayb focuses on fostering seamless customer experiences, enhancing operational efficiency, and deriving actionable insights. By harnessing the power of emerging technologies, Metayb aims to be the unparalleled choice for global customers, delivering strategic goals effectively within a digital-first ecosystem of value creation.

Our key areas of expertise lie in Digital Transformation, Data Science, SAP Implementation, Workflow Automation, Dashboarding, Visualization, Finance, and Supply Chain Services . We strongly aspire to venture into IoT, AI/ML, and Virtual Reality . Metayb endeavours to be best-in-class across digital solutions, infrastructure, and product engineering.

Role Overview

We are looking for an experienced Power BI Developer to design, develop, maintain, and support business intelligence and analytics solutions that enable data-driven decision-making across the organisation.

The role will involve owning the complete Power BI delivery lifecycle, including requirements gathering, data preparation, data modelling, DAX development, dashboard design, deployment, performance optimisation, security, and production support .

The ideal candidate should have strong hands-on expertise in Power BI, DAX, Power Query, SQL, data modelling, and Power BI Service , along with the ability to work closely with data engineers, analysts, and business stakeholders to translate business requirements into accurate, high-performing, and user-friendly analytics solutions.

Exposure to Microsoft Fabric will be a strong advantage as the organisation progressively moves towards the Fabric ecosystem.

Key Responsibilities

🔹 Power BI Report & Dashboard Development

• Design, develop, publish, and maintain interactive Power BI reports and dashboards based on defined business requirements.
• Create intuitive and user-friendly dashboards aligned with agreed UX standards, reporting requirements, and performance targets.
• Implement advanced Power BI features including bookmarks, drill-throughs, tooltips, field parameters, custom themes, and responsive layouts.
• Ensure dashboards provide accurate, actionable, and business-relevant insights.

🔹 Data Modelling & Semantic Layer

• Build robust star-schema-based semantic models using appropriate fact and dimension structures.
• Define relationships, hierarchies, cardinality, and role-playing dimensions within Power BI models.
• Select appropriate storage modes including Import, DirectQuery, Composite, and Direct Lake based on business and technical requirements.
• Optimise model size, relationships, filtering behaviour, and overall model performance.
• Apply dimensional modelling and data warehousing concepts, including slowly changing dimensions and ETL/ELT principles.

🔹 DAX Development & Analytics

• Develop and optimise advanced DAX measures, calculated columns, and calculation groups.

• Implement complex analytical requirements including:

• Time intelligence
• YoY, MTD, and YTD analysis
• Running totals
• Ranking

• What-if analysis

• Demonstrate strong understanding of filter context, row context, CALCULATE, iterators, variables, and calculation groups.
• Optimise DAX expressions to improve report responsiveness and model performance.

🔹 Data Preparation & Integration

• Build and maintain Power Query / M transformations for data preparation and cleansing.
• Develop complex transformations, merges, appends, custom functions, parameterised queries, and query-folding solutions.
• Implement incremental refresh policies and dataflows where required.

• Integrate data from multiple enterprise and cloud sources, including:

• SQL Server / Azure SQL
• Excel
• SharePoint
• APIs
• SAP
• Oracle
• Cloud data platforms

🔹 Performance Optimisation

• Analyse and resolve performance issues affecting Power BI reports, semantic models, and data refreshes.
• Use tools and techniques such as Power BI Performance Analyzer, DAX Studio, Tabular Editor, VertiPaq Analyzer, and query folding to identify performance bottlenecks.
• Optimise data models, DAX calculations, queries, refresh processes, and report designs to improve ov…