Location- Mexico (Remote)

Experience- 5+ Years The candidate must be based in Mexico.

Job Overview

We are looking for an experienced Data Engineer to design, develop, and manage modern cloud-based data platform solutions. This is a greenfield opportunity to build a scalable Azure data platform from the ground up, creating the foundation for AI-ready data, business intelligence, reporting, analytics, and data-driven decision-making.

The adecuado candidate will have strong hands-on experience across Snowflake, dbt, Azure Data Factory, Microsoft Fabric, ADLS Gen2, Python, and SQL, along with a solid understanding of modern data engineering and lakehouse architecture.

Key Responsibilities

Design, develop, and continuously improve end-to-end cloud data platform architecture using Azure technologies.

Build scalable and reliable ETL/ELT pipelines using Azure Data Factory, dbt, Python, and SQL.

Develop data ingestion and transformation pipelines from multiple source systems, including GCAS, GSS, Insurance, Savvy, and BAS.

Design and implement data lakehouse solutions using the Medallion Architecture (Bronze, Silver, Gold).

Develop and maintain solutions using Microsoft Fabric Lakehouse, Warehouse, and Dataflows.

Work extensively with Snowflake for cloud data warehousing, data transformation, and analytics.

Implement automated data quality, validation, reconciliation, and pipeline testing frameworks.

Develop efficient and scalable data models and schemas to support BI, analytics, and operational requirements.





Collaborate with offshore data engineering teams, providing technical guidance, code reviews, and quality oversight.

Work closely with the Business Intelligence team to deliver reliable and analytics-ready datasets for reporting and visualization.

Support data governance initiatives including metadata management, data cataloging, security, and data quality.

Deliver trusted data solutions supporting compliance reporting, customer insights, fraud detection, and product development.

Maintain technical documentation and conduct knowledge transfer and training for internal teams.

Follow engineering best practices around Git, CI/CD, testing, deployment, and monitoring.

Mandatory / Primary Skills

5+ years of professional Data Engineering experience

Strong hands-on experience with Snowflake

Strong experience with dbt for data transformation, modelling, and ELT

Hands-on experience with Azure Data Factory (ADF)

Experience with Microsoft Fabric, particularly: Fabric Lakehouse, Fabric Warehouse, Dataflows

Strong knowledge of Azure Data Lake Storage Gen2 (ADLS Gen2)

Strong SQL skills, including: Advanced queries, Data transformation, Query optimization, Performance tuning

Strong Python programming skills for data engineering and automation

Experience building and managing ETL/ELT pipelines

Strong understanding of data modelling and schema design

Experience implementing data quality and validation frameworks

Experience with Git and version control

If interested share your CVs to [email protected]

📌 Senior Data Engineer – Snowflake, dbt, ADF & Microsoft Fabric (Mexico) (México)
🏢 DYNE
📍 México