- Experience in Analytics Engineering, BI, or Data Engineering, and SQL.

- experience working with software development teams and the SDLC.

About Our Client

Technology Company.

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.

The Successful Applicant

- 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.

Adecuado 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.

What's On Offer

Remote work

Contact: Jackie Rodriguez

Quote job ref: JN-082026-7092697

📌 Data Engineer / Product Analytics Engineer (Remote) (Guadalajara)
🏢 Michael Page
📍 Guadalajara