Fresh Consulting is seeking a Senior Data Engineer (Individual Contributor) to technically lead the design and implementation of cloud-native data platforms for international clients in the US.

Location: Remote (Mexico — Preferred: Monterrey, Mexico City, Guadalajara)
Language Requirement: Fluent professional English (Minimum CEFR C1)
Travel: Availability to travel to the U.S. quarterly (approximately 1 week per trip)

Key Responsibilities
- Design and Construction: Design, build, and operate modern, end-to-end, cloud-native data warehouses.
- Pipeline Development: Develop and maintain robust ELT/ETL pipelines that integrate multiple internal systems (servicing, origination, CRM) and third-party data feeds.
- Data Modeling: Create scalable data models for reporting, BI (semantic layer), and future AI/ML initiatives.
- Governance and Security: Implement data quality, governance, and security practices aligned with stringent U.S. financial regulations.
- Executive Collaboration: Work closely with C-suite stakeholders and directors in the U.S.



to translate business requirements into technical data architecture.
- Optimization: Optimize the performance of queries, pipelines, and workflows to ensure efficiency and cost control.

Required Skills:
- Microsoft Fabric (highly preferred) OR portable stacks (BigQuery, Snowflake, Databricks).
- 4 to 7 years of verifiable experience building end-to-end cloud data warehouses (real projects taken from zero to production), not just maintaining existing systems.
- Cloud Infrastructure: Azure data stack (Data Factory, Synapse, Fabric) or equivalent on AWS/GCP.
- Core Languages:Advanced SQL (dimensional modeling, performance optimization) and Python (transformation, orchestration, scripting).
- BI Tools:Power BI or equivalent (Looker, Tableau, Mode).
- Orchestration and Transformation: Azure Data Factory, Airflow, dbt, Dagster, or similar tools.
- Direct Exposure to Stakeholders:Experience working directly with executives in the U.S.

📌 Data Engineer (Ciudad de México)
🏢 Fresh Consulting
📍 Ciudad de México