Data Engineer

Fresh Consulting freshconsulting.com Open · verified Oct 24, 2026

Remote Worldwide Full-time Mid-level Data Engineering

At a glance

Mid-level Data Engineering role at Fresh Consulting. Remote · full-time.

Pay not stated Data Engineer salary

RoleData Engineering

SeniorityMid-level

LocationWorldwide

WorkplaceRemote

EmploymentFull-time

PostedJul 22, 2026 · 3mo ago

Role brief

dataroles summary, based on the employer's posting.

What you'll do

Design and run cloud data warehouses from initial architecture through production, while keeping existing data flows working
Build ELT/ETL pipelines that connect servicing, origination and CRM systems with external data feeds
Shape data models for reporting, BI semantic layers and planned AI/ML work
Apply data quality, governance and security controls that meet U.S. financial regulations
Turn U.S. executive requirements into data architecture, then tune queries and workflows for performance and cost

What you bring

Four to seven years building cloud data warehouses from scratch through production, not solely maintaining existing platforms
Advanced SQL and Python skills, plus experience with Azure data services or an equivalent AWS or GCP stack
Hands-on work with Microsoft Fabric or a portable platform such as BigQuery, Snowflake or Databricks
Professional English at CEFR C1 or higher, direct experience with U.S. executives and a valid B1/B2 U.S. visa

Who this fits

This is a senior individual-contributor role for someone who can lead warehouse design and implementation while working directly with U.S. executives. The position is remote from Mexico, with Monterrey, Mexico City and Guadalajara preferred. You’ll need to travel to the U.S. quarterly for about a week per trip.

From the employer

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.

The successful candidate will not only maintain existing data flows but also design, build, and implement a modern data warehouse from the ground up, laying the foundation for future AI/LLM integrations and automated workflows.

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.
Valid US Visa (Minimum B1/B2): Confirmed availability to travel to the US quarterly.