Senior AI Analytics Engineer
Gympass · Brazil (Remote)
Skills in this posting
Extracted from the posting text by the instrument — the demand side, read literally.
The posting
Your wellbeing, our mission. Join a company shaping a healthier world.
GET TO KNOW US
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.
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.
Join us in redefining the future of wellbeing!
THE OPPORTUNITY
We are hiring a Senior AI Analytics Engineer to our Global Analytics team in Brasil - Remote!
As a Senior AI Analytics Engineer within Wellhub's ever-growing Global Analytics team, you'll take a central role in driving a data-driven culture and executing on our analytics strategy. This technically focused role sits at the intersection of data modeling, software engineering, and applied AI — requiring deep hands-on skills across all three.
You will be instrumental in building and maintaining the governed data foundations that power AI-driven analytics across the company, ensuring that every tool and workflow draws from consistent, trustworthy definitions of our most critical business concepts.
This includes developing high-quality data models, building automated governance pipelines, and designing the context structures that make AI-powered self-serve analytics accurate and scalable at Wellhub.
You will partner with teams across the product and business to translate complex and often loosely defined data needs into reliable, AI-ready assets that stakeholders can trust.
YOUR IMPACT
- Build and maintain high-quality LookML models, ensuring the semantic layer is enriched with accurate labels, descriptions, synonyms, and business logic that AI tools — including Looker Conversational Analytics and external LLMs — can reliably consume;
- Design and configure domain-focused Data Agents with well-structured instructions, Golden Queries, and scoped context governance to deliver accurate and trustworthy conversational analytics;
- Develop and maintain CI/CD pipelines that automate metadata governance, including AI-assisted description generation, DDL synchronization, and semantic consistency checks;
- Build reusable AI skills, tools, and workflows that allow analysts and stakeholders to interact with governed data through natural language interfaces;
- Partner with Data Analysts, Data Engineers, and business stakeholders to translate vague or poorly defined business questions into well-defined, measurable data models and agent instructions;
- Identify opportunities to improve the quality and reliability of AI-generated insights by improving context structure, metadata coverage, and semantic layer precision;
- Develop recommendations and drive improvements to data standards, processes, and definitions;
- Contribute to cross-team guidelines and best practices for responsible AI usage with data.
WHO YOU ARE
- 3-5+ years of relevant work experience in analytics engineering, data modeling, or a closely related field;
- Excellent SQL skills required;
- Proficiency in Python — comfortable writing and maintaining production-grade scripts and automation pipelines, not just exploratory code;
- Hands-on experience with a semantic layer or BI modeling tool (LookML/Looker, dbt Semantic Layer, or equivalent);
- Practical understanding of how Large Language Models consume structured context: field-level metadata, descriptions, synonyms, and prompt design;
- Experience designing context for AI agents : writing system instructions, scoping agent boundaries or contributing to agent skill frameworks;
- Experience building or maintaining CI/CD pipelines for data artifacts (GitHub Actions, dbt CI, or similar);
- Significant exposure to complex data pipelines, data modeling, and data architecture;
- Comfortable with AI-assisted development workflows: using AI coding tools, crafting Golden Queries, and building or configuring skills for data agents;
- Must be comfortable with unstructured, fast-moving, and constantly evolving high-growth environments;
- Strong execution and ownership — able to drive technical work end-to-end from ambiguous problem to reliable solution;
- Ability to communicate complex technical concepts clearly and concisely to non-technical stakeholders;
- Advanced English written and verbal communication skills.
We recognize that individuals approach job applications differently. We strongly encourage all aspiring applicants to go for it, even if they don't match the job description 100%. We welcome your application and will be delighted to explore if you could be a great fit for our team. For this specific role, please note that prior experience in Python, SQL and designing context for AI agents are mandatory requirements.
WHAT WE OFFER YOU
With thoughtful benefits, emotional wellbeing resources, and a culture that empowers you to take ownership of your role and your wellbeing, we create an environment where you can thrive in all dimensions of your life.
Our flexible benefits program allows you to customize some of the benefits, according to your needs!
Our benefits include
WELLHUB: Free Gold+ membership with access to onsite gyms and studios, digital fitness programs, and online wellness resources for meditation, nutrition, mental wellbeing support, and more! Add up to three family members to your plan, ensuring access to wellness for those who matter most to you.
WELLZ: A complete emotional wellbeing program with a unique approach. It offers personalized journeys that combine individual therapy sessions (52 per year) and on-demand content.
HEALTHCARE: Health, dental, and life insurance.
FLEXIBLE WORK: As a Flexible First company, we offer hybrid and remote options to give you the freedom to work in a way that suits you. The model for this specific role can be discussed with your recruiter and hiring manager. When you join, use our home office reimbursement to set up your home office.
FLEXIBLE SCHEDULE: Flexibility for us isn’t just about where we work—it also means being able to shape how and when we get things done. Together with their leaders, employees define schedules that align with their time zones, team needs, and personal routines.
PAID TIME OFF: It’s important to take time away from work to recharge.Employees receive vacations after 6 months and additional 3 days off per year + 1 day off for each year of tenure (up to 5 additional days) + an extra holiday for your birthday!
PAID PARENTAL LEAVE: Welcoming a new child is one of the most special moments in your life. Take the time to be present and enjoy your growing family. We offer 100% paid parental leave to all new parents. Parents giving birth are eligible for an extended leave and a ramp-back period to return part-time while they get settled.
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The PivotHop read
- What a data engineer actually earnsmedian, seniority, by country
- What data engineers do insteadevery measured route out
- Data Architect → Data Engineer51% readiness
- Data Analyst → Data Engineer32% readiness
- All open data engineer rolesthe full board
Where these skills also reach
Adjacent occupations measured from the same postings — readiness is what a data engineer’s profile already covers.
- 14 open data architect roles86% readiness from data engineer
- 11 open database administrator roles59% readiness from data engineer
- 144 open data analyst roles56% readiness from data engineer
- 250 open solutions architect roles52% readiness from data engineer
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