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 general clients.Collaborative engineering culture with strong technical ownership.Continuous learning, certifications, and professional development.Multicultural teams.Healthy work-life balance.Competitive compensation and benefits.
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📌 Data Engineer (Senior) – Bi & Data Analytics (Argentina Or Uruguay)
🏢 RemoteLeads
📍 Bogotá