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Data Engineer

Fresh Consulting

Mexico City, MexicoRemoteJobNo compensation foundTracked 1mo agoSeen in employer's feed 3 days ago
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At a glance

Compensation
No compensation found
Location
Mexico City, MexicoRemote
Work Authorization
US work authorization required

Job overview

Fresh Consulting is hiring a Data Engineer. Fresh Consulting is seeking a Senior Data Engineer to technically lead the design and implementation of cloud-native data platforms for international clients in the US. The successful candidate will maintain existing data flows, design, build, and implement a modern data warehouse from the ground up, laying the foundation for future AI/LLM integrations and automated workflows.

Key focus areas include Design, build, and operate modern, end-to-end, cloud-native data warehouses, Develop and maintain robust ELT/ETL pipelines that integrate multiple internal systems and third-party data feeds, and Create scalable data models for reporting, BI (semantic layer), and future AI/ML initiatives.

Successful candidates bring Microsoft Fabric Or Portable Stacks, Azure Data Stack Or Equivalent, and Valid US Visa. Important skills include Azure Data Stack, Data Factory, Synapse, Fabric, AWS, and GCP. Preferred (not required): BigQuery, Snowflake, and Databricks.

Skills & qualifications

RequiredNice to have

Skills

Azure Data StackData FactorySynapseFabricAWSGCPAdvanced SQLData ModelingPerformance OptimizationPythonPower BILookerTableauMode AnalyticsApache AirflowDbtDagsterDirect Exposure to StakeholdersDesign Cloud-Native Data WarehousesDevelop ELT/ETL PipelinesCreate Scalable Data ModelsImplement Data QualityImplement Data GovernanceImplement Data SecurityExecutive CollaborationOptimize Query PerformanceOptimize Pipeline PerformanceOptimize Workflow PerformanceBigQuerySnowflakeDatabricks

Qualifications

Fluent Professional EnglishCEFR C1 EnglishAvailability to Travel to the U.S. Quarterly4-7 Years Building End-to-End Cloud Data WarehousesValid US Visa (Minimum B1/B2)

Full job description

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.

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