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

Description:

• Design and deliver end-to-end data solutions for enterprise clients.
• Gather business requirements and translate them into scalable technical architectures.
• Build and maintain Data Lake, Data Warehouse, and analytical data models.
• Develop 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 during project delivery.
• Mentor and support other Data Engineers.
• Participate in technical estimations, solution design, and project planning.
• Continuously improve engineering standards and delivery processes.

Requirements:

• 3+ years of experience as a Data Engineer, Analytics Engineer, BI Developer, or a similar role.
• Strong experience with SQL, PySpark, and data modeling.
• Hands-on experience implementing cloud-based data platforms on Azure, AWS, or GCP.
• Experience designing and building production-grade data solutions.
• Advanced English, both spoken and written.
• Comfortable working directly with clients and multiple stakeholders.
• Demonstrated technical leadership without formal people management responsibilities.
• Strong ownership, autonomy, and problem-solving mindset.
• Experience with Microsoft Fabric, lakehouse architecture, notebooks, Power BI, Synapse, or dataflows is a plus.
• Experience with Databricks, Snowflake, or Parquet and modern columnar storage formats is a plus.

Benefits:

• Full-time schedule, Monday to Friday.
• Hybrid work model from Uruguay or 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.