WADE Group
WADE Group
1 – 10 Қызметкерлер
SaaSКонсалтингМаркетинг
WADE Group combines business intelligence consulting with a data insights SaaS platform to help organizations improve how they manage and use data. Its consulting work supports BI and AI maturity and strategic roadmap development, while its platform automates data management to reduce operational risk and speed access to business insights. The company works across consulting, marketing, and SaaS.

Senior Analytics Engineer

Build AI-ready data platforms, semantic models, and data products at Mabriq. The consulting firm helps organizations turn data and AI into business value.

Сипаттама

  • Lead workshops and requirements discussions with business teams and decision-makers
  • Identify KPIs, business concepts, and information needs
  • Design semantic models for people and AI
  • Build data products and analytics solutions with Microsoft Fabric and Power BI
  • Work with SQL, Python, and modern transformation frameworks
  • Contribute to the architecture and design of modern data and analytics platforms
  • Prepare data for Copilots, AI agents, and future AI solutions
  • Collaborate with Data Engineers on pipelines, lakehouse architectures, and data platforms
  • Work with AI Engineers on agentic AI solutions and intelligent applications
  • Help shape technical decisions, innovation, and the development of Mabriq’s analytics offering
  • Help clients define better decisions, KPIs, information needs, and AI readiness
  • Translate business needs into information architecture, semantic models, and data products

Талаптар

  • At least 7 years of experience in analytics engineering, business intelligence, data warehousing, information modeling, and modern data and analytics development
  • Experience with SQL and advanced data modeling
  • Experience with several of the following: Microsoft Fabric, Power BI and semantic models, Azure Databricks, Python, dbt, lakehouse architectures, Git and CI/CD, data governance, information architecture, workshop facilitation, and requirements gathering
  • Comfort working across business and technical domains
  • Ability to turn complex business needs into durable, scalable, long-term solutions
  • Experience with AI-powered analytics, generative AI, Copilot and Microsoft’s AI platform, agentic AI, semantic layer strategies, metrics stores, data mesh, Azure Data Platform, or AI-assisted development is an advantage

Артықшылықтар

  • Hybrid work opportunity
  • Professional development, certifications, and innovation
  • Work with modern technologies including Microsoft Fabric, Azure, Databricks, Copilot, and AI
  • Collaborate with specialists in analytics engineering, data engineering, AI, and cloud
  • A high degree of autonomy and responsibility
  • Influence the company’s offerings, technology choices, and direction
  • A focus on learning and continuous development

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