Data & Analytics Engineer

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., * 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

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

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.