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At DIGITALL we don't just deliver technology we deliver the future! We are explorers, knowledge-hunters, tech geeks, problem solvers and game changers who want to inspire and be inspired. Our DIGITALL people are always one step forward: working with top-notch technologies, creating innovations ahead of the market trends, sharing the passion for discovering better ways. As a human-centric organization, our teams are built on mutual respect and open communication, allowing everyone to be authentic, express ideas and unleash their potential. We are proud of our DIGITALL bright minds and never stop developing their skills to keep pushing boundaries together and do what we love. DIGITALL operates globally with a team of 1000 experts in 16 locations across 8 countries. We are looking for an experienced Power BI & Microsoft Fabric Consultant to join our Corporate Applications team and take end-to-end ownership of DIGITALL's enterprise reporting, analytics, and business intelligence landscape. The role combines hands-on development with technical leadership. You will design, maintain, optimize, and govern scalable reporting and data solutions based on Microsoft Power BI and Microsoft Fabric, supporting data-driven decision-making across Finance, Sales, CRM, Operations, HR, Professional Services, and other corporate functions. You will work with complex data originating from multiple enterprise applications. A strong understanding of ERP, CRM, Dynamics 365, and connected business systems is therefore essential. Deep knowledge of our internal data landscape is not expected on day one, but curiosity, structured analysis, and the ability to quickly understand unfamiliar systems and business processes are critical. This is your job: Design, develop, maintain, and optimize enterprise-grade Power BI reports, dashboards, scorecards, and analytical applications. Build scalable semantic models and dimensional data models using established data warehousing and Power BI best practices. Develop advanced DAX measures, KPIs, calculation logic, and Power Query transformations. Ensure performance, reliability, usability, and maintainability of datasets, reports, refresh processes, and data connections. Design and implement Microsoft Fabric solutions using Lakehouse, Warehouse, OneLake, Data Factory, Data Pipelines, Dataflows Gen2, Notebooks, and Semantic Models as appropriate. Build and support ETL/ELT processes for data ingestion, transformation, orchestration, and monitoring. Integrate and analyze data from Microsoft Dynamics 365, Dataverse, ERP, CRM, HR, project management, professional services automation, service management, and other enterprise systems. Implement appropriate access controls, workspace structures, row-level security, deployment pipelines, lifecycle management, and governance for Power BI and Fabric assets. Improve data quality, consistency, lineage, documentation, and transparency across the analytics landscape. Collaborate with business stakeholders to understand processes, challenge requirements, and translate business needs into sustainable data and reporting solutions. Troubleshoot production issues, perform root-cause analysis, and coordinate resolution across applications, integrations, data platforms, and business teams. Document technical designs, data models, data sources, transformations, dependencies, operational procedures, and support knowledge. Contribute to the roadmap for the modernization and further development of DIGITALL's reporting and enterprise data platform. Your qualifications: At least 5 years of hands-on experience in business intelligence, data analytics, or data engineering, including substantial experience with Microsoft Power BI. Advanced Power BI expertise, including DAX, Power Query (M), semantic modeling, dimensional modeling, performance tuning, refresh strategies, row-level security, deployment pipelines, gateways, workspaces, and Power BI Service administration. Practical experience with Microsoft Fabric and several of its core capabilities, such as Lakehouse, Warehouse, OneLake, Data Factory, Data Pipelines, Dataflows Gen2, Notebooks, and Semantic Models. Strong SQL skills and sound knowledge of relational databases, data warehousing, star schemas, ETL/ELT patterns, data architecture, data quality, and data governance. Good understanding of Microsoft Dynamics 365, Dataverse, ERP and CRM concepts, business entities, transactional data, master data, and cross-system integration patterns. Experience analyzing data from complex enterprise application landscapes and quickly learning unfamiliar data structures and business processes. Experience with Azure data services such as Azure SQL, Azure Data Factory, Azure Data Lake Storage, Synapse Analytics, or Azure DevOps is an advantage. Knowledge of APIs, integration platforms, source control, CI/CD, Python, Spark, or notebooks is an advantage. Ability to take ownership of a business-critical reporting and analytics landscape and independently drive topics from requirements through delivery and operations. Strong analytical and problem-solving skills, attention to detail, and a structured approach to documentation and knowledge transfer. Clear communication and stakeholder management skills, including the ability to explain complex technical topics to non-technical audiences. Fluent English, written and spoken. German is an advantage. Relevant Microsoft certifications in Power BI, Fabric, Azure Data, or Dynamics 365 are an advantage. What success looks like You take ownership of the existing Power BI and Fabric landscape and ensure stable business operations. You establish a clear understanding of critical reports, data sources, dependencies, and business owners. You improve report performance, maintainability, documentation, governance, and data quality. You become a trusted technical partner for reporting, analytics, enterprise applications, and data-related initiatives. You help evolve DIGITALL's modern data platform and introduce scalable standards for future analytical solutions. Organizational information: All applications will be treated in strict confidentiality. Please note that only shortlisted candidates will be invited to an interview. Originally posted on Himalayas