Data Engineer (Senior) – BI & Data Analytics (Argentina or Uruguay)

 Posted a day ago
     
2-5 years experience
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AI Summary

Design and deliver end-to-end data solutions, including Data Lakes and Warehouses, for enterprise clients. Act as a technical lead and client point of contact while mentoring other data engineers.

Our client is hiring a Senior Data Engineer to join a growing consulting team delivering modern data platforms and analytics solutions for multinational clients.

This is a highly hands-on role with strong technical ownership, combining architecture, implementation, client-facing consulting, and technical leadership.

What you'll do

  • Design and deliver end-to-end data solutions for enterprise clients.
  • Gather business requirements and translate them into scalable technical architectures.
  • Build and maintain modern Data Lake, Data Warehouse, and analytical data models.
  • Develop robust data pipelines for ingestion, transformation, and data serving.
  • Drive technical quality through best practices, documentation, testing, and version control.
  • Act as the technical point of contact for clients throughout project delivery.
  • Mentor and support other Data Engineers.
  • Participate in technical estimations, solution design, and project planning.
  • Continuously improve engineering standards and delivery processes.

Required experience

  • 3+ years of experience as a Data Engineer, Analytics Engineer, BI Developer, or similar.
  • Strong experience with:
    • SQL
    • PySpark
    • Data Modeling
  • Hands-on experience implementing cloud-based data platforms (Azure, AWS, or GCP).
  • Experience designing and building production-grade data solutions.
  • Advanced English (spoken and written).
  • Comfortable working directly with clients and multiple stakeholders.
  • Demonstrated technical leadership without requiring formal people management responsibilities.
  • Strong ownership, autonomy, and problem-solving mindset.

Nice to have

Experience with modern Microsoft data technologies, including:

  • Microsoft Fabric
  • Lakehouse architecture
  • Notebooks
  • Power BI
  • Synapse
  • Dataflows

Additional experience with:

  • Databricks
  • Snowflake
  • Parquet and modern columnar storage formats

Working model

  • Full-time (Monday–Friday)
  • Hybrid work model from Uruguay / Fully remote from Argentina

What you'll find

  • Opportunity to work on enterprise-scale data platforms.
  • International projects with global clients.
  • Collaborative engineering culture with strong technical ownership.
  • Continuous learning, certifications, and professional development.
  • Multicultural teams.
  • Healthy work-life balance.
  • Competitive compensation and benefits.

If you enjoy solving complex data challenges, working closely with clients, and leading technically while remaining hands-on, we'd love to hear from you.

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