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Data & Analytics Engineer at ITRex Group. THE PLACE. ITRex - AI pioneers who build systems that actually work in the real world, not just in demos. We're 250+ people spread across the US and Europe, creating solutions for companies like P&G and Shutterstock. We keep it simple, build it right, and focus on what works.. THE PEOPLE. We're the kind of people who don't ignore messages in Slack, who jump in to help when you're stuck on a problem, and who offer solutions instead of blame when things go sideways. We believe in openness, accountability, and having each other's backs. No office politics, no hidden agendas - just people who care about doing good work together and supporting each other to get there.. THE ROLE. We are looking for a . Data & Analytics Engineer. to provide hands-on analytics engineering expertise in designing, building, and migrating analytical processing pipelines and data models—including data marts, multi-dimensional models, and KPI implementations—from SAP BusinessObjects to Sigma.. The role focuses on delivering high usability, strong performance, and robust data governance within a modern Snowflake-based cloud data stack, enabling scalable self-service analytics for business users.. Responsibilities: . Design, build, and optimize high-performance Data Marts (Gold layer) within  Snowflake to deliver and support analytics-ready datasets . Develop and maintain analytics-ready data models using Airflow, Python, Snowflake, SQL, and dbt. Develop and maintain Snowflake Semantic Views for self-service analytics in Sigma in collaboration with business stakeholders. Partner with business stakeholders to define, redesign, and implement standardized KPIs. Support the migration from SAP BusinessObjects to Sigma. Ensure alignment with data governance, performance, security, and scalability standards. Work closely with BI, data engineering, and business stakeholders to translate business requirements into robust analytical models. Contribute to business user enablement through best practices, data structures, and documentation. Support multiple project phases in parallel with a pragmatic, delivery-focused mindset. Technical Skills. 4+ years of hands-on experience as a Data Engineer and/or BI Engineer in modern cloud data environments. Advanced SQL skills . Deep understanding of the Snowflake Cloud Data Platform. Experience working with Airflow or similar orchestration tools. Practical experience with dbt for data mart development and analytics modeling. Solid understanding of data modeling concepts, including dimensional models and KPI frameworks. Business & Collaboration. Proven experience working with cross-functional teams (BI, data engineering, and business stakeholders) to deliver analytics solutions end-to-end. Ability to translate business requirements and KPIs into scalable data models and semantic layers. Strong communication skills, enabling effective collaboration during requirements clarification, model design, and KPI validation. Strong sense of ownership and a proactive approach to identifying and solving data quality, modeling, or performance issues. Self-driven and proactive, with the ability to co-lead analytics and modeling topics together with internal BI teams. English proficiency: Upper-Intermediate and above. Nice to have:. Experience migrating from SAP BusinessObjects or similar legacy BI platforms. Hands-on experience with modern BI tools. Company Location: Kazakhstan.