Data / Analytics Engineer

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.

Responsibilities

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.

Requirements

• 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.

• Rate up to 140,00 PLN/h + VAT
• Remote work
• Subsidy for peripherals in the amount of 500,00zł
• Working tool (MacBook Pro or Lenovo Legion 5)
• Co-financing of courses related to the position
• Benefits: MultiSport, Medicover