A complete application in a minute
Tailored resume and cover letter, ready to send.
Chabre IT Services is seeking a Data/Analytics Engineer to build and maintain data pipelines in Microsoft Fabric, develop semantic models and Power BI reports, and define KPIs for AI adoption. You will implement conversational data access using Fabric Data Agents or Power BI Copilot and collaborate with US-based clients to deliver business-focused outcomes.
The role requires hands-on Fabric experience, strong BI skills, and the ability to translate business needs into measurable analytics
Working as a Data / Analytics Engineer, you will:
Build and maintain data pipelines in Microsoft Fabric, including data ingestion, transformations, and data modelling across multiple sources.
Develop semantic models and Power BI reports to provide actionable business insights.
Work with business stakeholders to define KPIs measuring AI adoption and business value.
Implement conversational access to data using natural language, leveraging solutions such as Fabric Data Agents, Power BI Copilot, or custom LLM-based applications.
Ensure the accuracy and reliability of AI-generated answers by developing test question sets, validating results, and defining clear boundaries for data queries.
Translate business questions and requirements into measurable metrics and meaningful analytical solutions.
Work independently and collaborate directly with US-based clients to clarify requirements and deliver business-focused outcomes.
Chabre IT Services is a global professional IT services provider, building long-lasting relationships with Enterprises. We specialize in the delivery of tailor-made solutions, smart outsourcing, try&hire, and success fee services. We are a smart IT boutique with unique knowledge, which will deliver your ideas into reality.
Our client is a global technology and management consultancy specializing in driving digital transformation in the financial services industry. It operates at the intersection of business and technology by combining innovative thinking with unrivalled industry knowledge to deliver end-to-end data-driven solutions and fast-track digital initiatives for banking and payments, capital markets, wealth and asset management, insurance, and the energy sector.
Hands-on experience with Microsoft Fabric, including Lakehouse/Warehouse, pipelines, Dataflows Gen2, and notebooks.
Strong Power BI skills, including data modelling, DAX, and semantic model development.
Good SQL skills and experience with Python and/or PySpark.
Experience integrating data from multiple sources, including APIs, files, databases, and SaaS platforms.
Experience with or a strong interest in applying GenAI to data analytics, including text-to-SQL/DAX, Fabric Data Agents, or Power BI Copilot.
Basic knowledge of prompt engineering and methods for evaluating the quality and accuracy of LLM-generated responses.
Strong communication skills and the ability to work directly with business stakeholders, independently clarify ambiguous requirements, and translate them into measurable KPIs and business value.
A proactive, self-driven approach, a strong sense of ownership, and a good sense of humour.
English proficiency at C1 level, enabling fluent communication and effective collaboration with US-based clients.