Senior Data Analytics Engineer – Hospitality Tech

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Data Analytics Engineer – Hospitality Tech in Brazil.

This role sits at the core of building a scalable, data-driven reporting ecosystem for a fast-growing hospitality and retail technology platform. You will be responsible for designing and implementing the foundational data architecture that powers client-facing analytics, dashboards, and automated reporting across multiple venues and accounts. Working in a highly technical and collaborative environment, you will transition the platform from manual reporting processes to a robust, automated data pipeline infrastructure. Your work will directly impact how brands, venues, and partners understand customer behavior, campaign performance, and operational efficiency. This is a hands-on engineering role for someone who thrives on building systems from scratch and shaping long-term data strategy. You will collaborate closely with product and engineering teams in a fully remote, high-autonomy setup.

Accountabilities

In this role, you will be responsible for building and evolving the end-to-end data infrastructure that enables scalable analytics and reporting across multiple clients, venues, and data sources.

• Design and build scalable data warehouse architecture using BigQuery, including datasets, tables, and reporting views.
• Develop and maintain ETL/ELT pipelines to ingest and unify data from APIs, webhooks, scheduled syncs, and third-party tools.
• Implement and manage GA4 exports into BigQuery, ensuring clean alignment across accounts, campaigns, venues, and subscriptions.
• Integrate multiple data sources such as CMS platforms, marketing tools, POS systems, and behavioral tracking systems.
• Create optimized SQL models to transform raw data into structured, reporting-ready datasets for BI tools.
• Establish data validation, monitoring, and quality assurance processes to ensure pipeline reliability.
• Document data architecture, schemas, transformations, and business logic to support scalability and collaboration.
• Partner with cross-functional teams to ensure accurate tracking implementation and privacy-conscious data handling.

Requirements

This position requires strong technical expertise in data engineering and a proven ability to build scalable analytics systems from the ground up in complex environments.

• 4+ years of experience in data engineering, analytics engineering, or data-focused roles.
• Mandatory experience building a data warehouse or analytics database from scratch.
• Strong proficiency in SQL and hands-on experience with BigQuery.
• Proven track record of building and scaling ETL/ELT pipelines.
• Deep understanding of GA4, event-based analytics, and data modeling for reporting.
• Experience integrating multiple data sources via APIs, webhooks, or scheduled sync processes.
• Strong documentation practices and attention to data governance and quality assurance.
• Experience with BI tools such as Looker Studio or similar reporting platforms is highly valued.
• Familiarity with Python or cloud-based scripting tools is a plus.
• Exposure to hospitality, retail, SaaS analytics, or multi-tenant reporting environments is an advantage.

Benefits

• 100% remote work with flexible location and autonomy.
• Competitive USD-based compensation aligned with market standards.
• Paid time off to support work-life balance and rest.
• Opportunity to work on high-impact international SaaS and analytics projects.
• Exposure to modern data stacks and scalable cloud architecture.
• Collaborative work with experienced global engineering teams.
• Autonomy-focused culture centered on outcomes and ownership.

Jobgether hiring process

How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1