Reporting and Analytics Engineer (Power BI, Data Fabric & Modern Analytics)
Posted 14 hours ago
Worldwide
⭐
5-10 years experience
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AI Summary
The role involves designing and developing enterprise-scale BI solutions using Power BI and modern data architecture paradigms like Data Fabric. You will also be responsible for defining data products, managing data governance, and collaborating with stakeholders to enable self-service analytics.
This is a remote position.
Role Overview
We are looking for a highly skilled Reporting and Analytics Engineer with strong expertise in Microsoft Power BI and good understanding of modern data architecture paradigms, including Data Fabric and Data Products. This role requires a thinker who can design scalable, business-aligned data ecosystems while also enabling advanced analytics and self-service BI capabilities.
The ideal candidate will have hands-on experience with Power BI, ADF (Azure Data Factory) , Snowflake, DataOps, and familiarity with emerging platforms such as Promethium (or AI enabled anlytical platform), and a deep understanding of modern analytical concepts that drive enterprise-wide insights.
Candidates must be comfortable working in UK shifts and supporting UK business hours as required.
Requirements
Key Responsibilities
1. Business Intelligence & Visualization
• Lead the design and development of enterprise BI solutions using Microsoft Power BI and the mentioned technologies.
• Build scalable semantic models, datasets, and dashboards aligned with business KPIs.
• Optimize report performance and implement best practices for data visualization and usability.
2. Modern Data Concepts (Data Fabric & Data Products)
• Architect solutions leveraging Data Fabric principles to unify data access across distributed environments.
• Define and operationalize Data Products, ensuring ownership, discoverability, and reusability.
• Proficiency in SQL and at least one programming language (Python preferred)
• Experience with ETL/ELT tools and data integration frameworks
3. Data Architecture & Strategy
• Define and implement enterprise scale data analytics and platforms aligned with business goals.
• Develop and maintain logical and physical data models (data warehouse, lakehouse, and data fabric architectures).
4. Cloud Data Platforms & Engineering
• Architect and integrate solutions using Snowflake as a core data platform.
• Collaborate with engineering teams to design ELT/ETL pipelines and data ingestion frameworks.
• Ensure high availability, scalability, and performance of data systems.
5.Emerging Technologies & Tools
• Evaluate and implement modern analytics tools such as Promethium for accelerated data access and insights.
• Stay current with evolving technologies in analytics, AI/ML integration, and data platform innovation.
6. Data Governance & Security
• Establish data governance frameworks, including data quality, lineage, cataloging, and metadata management.
• Ensure compliance with security standards and regulatory requirements.
• Promote best practices in data stewardship and lifecycle management.
7. Stakeholder Engagement
• Collaborate with business leaders, analysts, and engineers to translate requirements into architectural solutions.
• Act as a trusted advisor on data strategy and analytics enablement.
• Provide technical leadership and mentorship to data teams.
• Experience enabling self-service analytics and data democratization
8. Data Engineering & Integration
• Proficiency in SQL and at least one programming language (Python preferred)
• Experience with ETL/ELT tools and data integration frameworks
9. Emerging Tools
• Familiarity with Promethium or similar modern analytics/query acceleration platforms
• Exposure to data cataloging and governance tools
10. Preferred Qualifications
• Experience with Microsoft Azure data services (Azure Synapse, Data Factory, Fabric)
• Knowledge of real-time and streaming architectures
• Certifications in Power BI, Azure, or Snowflake
• Experience integrating AI/ML workloads into analytics platforms
11. Key Competencies
• Strategic thinking and architectural vision
• Strong problem-solving and analytical skills
• Excellent communication and stakeholder management
• Ability to bridge business and technical teams
• Leadership and mentoring capabilities
Required Skills
Power BI, Microsoft Fabric, Data Fabric, DAX, Power Query, Semantic Models, Data Modeling, Dashboard Development, KPI Reporting, SQL, Python, ETL, ELT, Data Integration, Data Warehousing, Lakehouse Architecture, Snowflake, Azure Data Factory, Azure Synapse Analytics, Microsoft Azure, Data Analytics, Business Intelligence, Self-Service Analytics
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