Senior Analytics Engineer | Partners

p strong Your wellbeing, our mission. Join a company shaping a healthier world. /strong /p p strong GET TO KNOW US /strong /p p At Wellhub we're revolutionizing workplace wellness. Our platform connects employees worldwide to the best partners for fitness, mindfulness, therapy, nutrition, and sleep—all in one simple subscription. Headquartered in NYC with team members in Europe, North America and South America, we’re on a mission to make every company a wellness company. /p p We believe work should be fulfilling, inspiring, and balanced. Here, you’ll find a team that values wellbeing, collaboration, and different perspectives, where passion and creativity push boundaries to create real impact. Your contributions will help shape a healthier, more balanced world for you and millions of people globally. nbsp; /p p strong Join us in redefining the future of wellbeing! /strong /p p nbsp; /p p strong THE OPPORTUNITY /strong /p p As a strong Senior Analytics Engineer /strong within Wellhub's Partner Data amp; Insights team in strong Brazil /strong , you'll sit at the intersection of data engineering, applied AI, and business analytics. This is a highly autonomous, technically deep role focused on building and evolving the data foundations that power decision-making across our Partners business. /p p You'll design, build, and maintain robust data pipelines in a data mesh architecture, model our semantic/BI layer, and create AI-powered capabilities — like data/AI agents — that scale the impact of the whole team. You'll work closely with analysts and stakeholders, translating vague, fast-moving needs into the reliable pipelines that feed our data assets, and bringing an analytical lens to the work when it helps. You'll own technical work end-to-end, from ambiguous problem to production-grade solution. /p p nbsp; /p p strong YOUR IMPACT /strong /p ul li Design, build, and maintain high-quality data pipelines and data models from scratch within a data mesh architecture, ensuring reliability, scalability, and clear ownership. /li li Evolve existing data assets and processes, raising the bar on data standards, definitions, and governance within the Partners business area. /li li Build AI-powered capabilities — data/AI agents, reusable skills, and natural-language interfaces — that amplify the team's productivity. /li li Model and enrich our BI semantic layer (Looker/LookML preferred) so both humans and AI tools can reliably consume it. /li li Partner with Data Analysts, Data Engineers, and business stakeholders to turn loosely defined needs into clear, well-scoped technical work /li li Communicate complex technical concepts and trade-offs clearly to non-technical audiences. /li li Live the mission: inspire and empower others by genuinely caring for your own wellbeing and your colleagues. Bring wellbeing to the forefront of work, and create a supportive environment where everyone feels comfortable taking care of themselves, taking time off, and finding work-life wellness. /li /ul p strong WHO YOU ARE /strong /p ul li 3-5+ years in analytics engineering, data engineering, or closely related fields, with strong hands-on experience in complex pipelines, data modeling, and data architecture. /li li Excellent strong SQL /strong and production-grade strong Python /strong (automation pipelines, not just exploratory code). /li li Strong command of the full data lifecycle; experience in a data mesh (or similarly decentralized) architecture is a strong plus. /li li Hands-on experience with a semantic layer or BI modeling tool (LookML/Looker strongly preferred). /li li Practical knowledge of strong AI/LLMs /strong : how LLMs consume structured context, and experience designing context for AI agents (writing instructions, scoping boundaries, building agent capabilities). /li li Strong autonomy and organization — thrives in unstructured, high-demand environments and prioritizes ruthlessly. /li li Strong execution and ownership