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

• →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.

• 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.

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

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

• 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.