Senior Data Analytics Engineer – Hospitality Tech | Mexico

Senior Data Analytics Engineer – Hospitality Tech | Mexico

About Truelogic

Truelogic is a leading provider of nearshore staff augmentation services, headquartered in New York. For over two decades, we have delivered top-tier technology solutions to companies of all sizes, from innovative startups to industry leaders, aiding their digital transformation journeys. Our team of over 600 highly skilled tech professionals, based in Latin America, drives digital disruption by partnering with U.S. companies on impactful projects.

By applying for this position, you will join a dynamic team that values your expertise and aspirations. We aim to align your skills with opportunities that foster exceptional career growth and success, while contributing to transformative projects that shape the future.

Our Client

Our client is a growing digital menu, engagement, and brand activation platform tailored for on-premise hospitality and retail environments. They provide venues with mobile-first experiences, consumer lead capture capabilities, and measurable reporting for brands and campaign partners.

About the Role

We are seeking a hands-on Data Engineer to design and build the foundational data infrastructure for a scalable, automated SaaS reporting system. This role is crucial for transitioning the platform from manual dashboard creation to a robust reporting pipeline capable of supporting multiple client accounts, venues, and subscription tiers. The ideal candidate is an architectural builder with deep expertise in constructing data warehouses from scratch, establishing ETL processing, and creating reporting-ready datasets to empower future analysts and client-facing business intelligence tools.

Key Responsibilities

• Design and build the reporting data architecture, structuring BigQuery datasets, tables, and views for scalable, multi-account, and multi-venue analytics.
• Build and manage ingestion pipelines from multiple disparate data sources using APIs, webhooks, scheduled syncs, ETL/ELT tools, or custom scripts.
• Set up and manage data exports from GA4 to BigQuery, establishing clean data relationships across all reporting entities including accounts, venues, campaigns, and subscription tiers.
• Integrate diverse data streams including Google Tag Manager, CMS platforms, email and SMS marketing tools, receipt validation services, and POS systems.
• Create clean SQL models to transform raw behavioral data and business metadata into reusable, reporting-ready tables.
• Prepare foundational data models to power automated dashboards and client-facing analytics for various BI platforms like Looker Studio.
• Establish comprehensive data quality assurance processes, validation checks, and actively monitor pipeline reliability.
• Maintain clear, thorough documentation for schemas, data flows, transformations, reporting logic, and event taxonomies.
• Partner cross-functionally with product and engineering teams to ensure correct tracking implementation and support privacy-conscious data practices.

Requirements

• 4+ years of professional experience in data engineering, analytics engineering, product analytics, or data analysis.
• Demonstrated, hands-on experience building a data warehouse or reporting database entirely from scratch (mandatory).
• Strong proficiency in SQL and extensive experience structuring and managing BigQuery.
• Proven ability to build, manage, and scale ETL or ELT data pipelines.
• Deep understanding of event-based analytics and direct experience with GA4 to BigQuery exports.
• Expertise in data modeling for analytics and the ability to create reporting-ready datasets for BI tools.
• Experience working with APIs, webhooks, or scheduled data syncs to join data across multiple sources.
• Exceptional documentation, data governance, and data QA habits.
• Experience with Looker Studio, Looker Studio Pro, or other white-label reporting platforms (e.g., AgencyAnalytics, Databox, DashThis) is preferred.
• Familiarity with modern data tools and scripting languages such as Python, Zapier, or Google Cloud Functions is a plus.
• Experience defining GA4 event taxonomies and working with Google Tag Manager is highly advantageous.
• Background in SaaS reporting, client-facing dashboards, or multi-tenant analytics is preferred.
• Familiarity with marketing platforms, CMS tools (like Sanity CMS), marketing automation systems (like Mailchimp), or POS systems is a plus.
• Prior experience in hospitality, retail, CPG, loyalty, rebates, or campaign attribution reporting is a strong plus.

What We Offer

• 100% Remote Work: Enjoy the freedom to work from a location that helps you thrive, requiring only a laptop and reliable internet.
• Highly Competitive USD Pay: Earn excellent, market-leading compensation in USD.
• Paid Time Off: Comprehensive paid time off policies to ensure you have time to unwind and recharge.
• Work with Autonomy: Manage your time effectively, focusing on results rather than the clock.
• Work with Top American Companies: Grow your expertise on innovative, high-impact projects with industry-leading U.S. companies.

Why