Data Engineer / Product Analytics Engineer (Remote)

Michael Page International México Reclutamiento Especializado S.A. de C.V; Región Centro; A distancia; MXN 900.000 - 1.300.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Remote work

Descripción de la vacante

Michael Page International México Reclutamiento Especializado S.A. de C.V busca un/a Data Engineer Senior con 6–9 años de experiencia en Data/Analytics Engineering o BI para liderar esfuerzos de datos en entornos cloud.

El/la candidato/a ideal trabajará con equipos de Producto y Ingeniería para diseñar y entregar soluciones analíticas avanzadas, dashboards y marcos de datos, apoyando decisiones basadas en insights y explotación de IA.

Formación

• 6-9 años de experiencia en Data Engineering, Analytics Engineering o BI, con experiencia en plataformas de datos y soluciones analíticas.
• Profesional técnico que lidera y mentoriza equipos, involucrado en diseño, desarrollo y entrega.
• Experiencia con Databricks, Snowflake, AWS, Python y entornos de análisis tipo notebook.
• Conocimiento de modelado de datos, SQL, ETL/ELT y marcos analíticos para desarrollo de productos orientados a datos.

Responsabilidades

• Diseñar, validar y mejorar métricas de producto, modelos analíticos e insights para clientes.
• Analizar conjuntos de datos complejos para identificar tendencias y oportunidades de mejora del producto.
• Traducir datos de ingeniería, productividad y costos en insights de negocio accionables.
• Colaborar con equipos de Producto y Ingeniería para definir nuevas características basadas en analítica.
• Investigar problemas de calidad de datos y asegurar exactitud de métricas en la plataforma.
• Utilizar herramientas de IA para construir, probar, depurar y desplegar mejoras de producto.
• Presentar hallazgos y métricas de rendimiento a stakeholders transversales.
• Apoyar la toma de decisiones basada en datos mediante dashboards e informes analíticos.

Conocimientos

Data Engineering

Analytics Engineering

Business Intelligence

Herramientas

Databricks

Snowflake

AWS

Python

Notebook-based analytics

Descripción del empleo

• Experience in Analytics Engineering, BI, or Data Engineering, and SQL.
• experience working with software development teams and the SDLC.

Sobre nuestro cliente

Technology Company.

Descripción

Key Responsibilities

• Design, validate, and enhance product metrics, analytical models, and customer-facing insights.
• Analyze complex datasets to identify trends, anomalies, and opportunities for product improvement.
• Translate engineering, productivity, AI usage, and cost data into actionable business insights.
• Collaborate with Product and Engineering teams to define and build new analytics-driven features.
• Investigate data quality issues and ensure the accuracy of metrics across the platform.
• Leverage AI-powered development tools to build, test, debug, and deploy product enhancements.
• Present findings, recommendations, and performance metrics to cross-functional stakeholders.
• Support data-driven decision-making by developing dashboards, reports, and analytical frameworks.

Perfil buscado

• 6-9 years of experience in Data Engineering, Analytics Engineering, or Business Intelligence, with strong expertise in data platforms and analytics solutions.
• Hands-on technical professional with experience leading and mentoring teams while remaining actively involved in design, development, and delivery.
• Strong experience with Databricks, Snowflake, AWS, Python, and notebook-based analytics environments.
• Solid understanding of data modeling, SQL, ETL/ELT processes, analytics frameworks, and data-driven product development.
• Familiarity with the Software Development Lifecycle (SDLC), CI/CD pipelines, deployments, testing, and modern engineering practices.
• Exposure to AI, machine learning, or AI-enabled development environments is highly preferred.
• Ability to bridge the gap between data, engineering, and product teams, translating complex data into actionable insights and business value.
• Excellent communication skills and English proficiency at a C1 level or higher.

Ideal Background:

A highly hands-on Data Engineer with strong analytics capabilities and exposure to data science concepts, experienced in modern cloud data environments, software development practices, and AI-related technologies. Comfortable leading teams while remaining deeply involved in technical execution and product-oriented problem solving.

Qué Ofrecemos

• Remote work