Senior BI and Data Warehouse Engineer

Quick Facts

• Role: Senior BI and Data Warehouse Engineer (AI-ready data)

Description

Build and evolve BI and data warehousing solutions that support decision-making, automation, and AI-ready analytics. You will prepare data foundations for AI assistants, predictions, and advanced analytics using a modern data stack (Data Lake/Lakehouse, Microsoft Fabric). The job also focuses on ensuring data quality, structure, and metadata so the data is usable for both people and AI systems.

Responsibilities

• Design and develop BI and data architecture for internal and customer projects
• Prepare data foundations for AI initiatives (AI assistants, predictions, advanced analytics)
• Work with modern data stacks (Data Lake/Lakehouse, Microsoft Fabric)
• Ensure data quality, structure, and data descriptions/metadata
• Integrate AI tools into daily work (Copilot, generating SQL/Python)
• Collaborate with analysts, consultants, and business stakeholders throughout projects
• Take end-to-end ownership on projects (from environment mapping to deployment)

Requirements

• Very strong working skills with data and data modeling (BI/DWH/Lakehouse)
• Ability to write SQL and understand data pipelines
• Ability to deliver solutions into customer production (discovery, target architecture design, deployment, cost estimation)
• Business-oriented thinking in addition to technical design
• Ability to ask the right questions to understand customer infrastructure (cloud/on-prem), security, access, and governance; capable of starting new projects
• Clear communication and ability to explain why data looks the way it does
• English communication for projects, documentation, and tools

Benefits

• Freedom and trust in how work is done, with personal ownership of results
• Friendly, informal culture with a strong focus on quality and teamwork
• Meaningful customer impact across logistics, production, retail, and supply chain
• Flexible working hours with homeoffice option
• Opportunities for growth (internal trainings and chance to attend conferences/workshops)
• Based in Prague