Summary: Seeking a Data & Analytics Engineer to provide hands-on analytics engineering expertise in designing, building, and migrating analytical processing pipelines and data models to Sigma within a modern Snowflake cloud data stack. Highlights: 1. Remote flexibility 2. Ownership opportunities & AI enhancement 3. Supportive culture & reliable teammates ### **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 **Requirements** **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 **Benefits** Why people stay **First, the foundation:** * **Remote flexibility:** Work where and how you work best \- we trust you to deliver * **Fair compensation:** Competitive salary \+ benefits that matter (medical, learning) **Then, the growth:** * **Ownership opportunities:** See a problem worth solving? Own it. We back smart risks over bureaucratic safety * **AI enhancement:** We leverage AI to make you faster and stronger \- complementing your abilities, not replacing them * **Learning investment:** English classes, professional development * **Career progression:** Real paths up, not just sideways shuffling **Finally, the people:** * **Reliable teammates:** No radio silence, no "not my problem" attitudes * **Supportive culture:** When you're stuck, people help. When things break, we fix them together * **Human connections:** Regular meetups, tech talks, and actual relationships beyond work ### **Curious? We are too. Let's talk**