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

• 5+ years of experience as a Data Engineer, Analytics Engineer, BI Developer, or similar.
• Strong experience with:
  • SQL
  • PySpark
  • Data Modeling
  • Azure Data Factory
  • Microsoft Fabric
• 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:

• 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.