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

RemoteLeads; Bogotá; Presencial; COP 90.000.000 - 150.000.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Hybrid work Uruguay

Remote work Argentina

International projects

Learning opportunities

Competitive pay

Descripción de la vacante

RemoteLeads is seeking a senior Data Engineer to design and deliver end-to-end data platforms for enterprise clients. You will translate business requirements into scalable architectures, build data lakes, warehouses, and models, and own data pipelines from ingestion to serving.

The role requires strong SQL, PySpark, and data modeling skills, hands-on cloud experience (Azure/AWS/GCP), and advanced English. You will collaborate with clients and mentor other engineers in a fast-paced, globally

Formación

• 3+ years in Data Engineer/Analytics roles
• Strong SQL, PySpark, and data modeling
• Experience with cloud data platforms (Azure/AWS/GCP)
• Production-grade data solutions design
• Advanced English, written and spoken
• Client-facing and stakeholder management
• Demonstrated technical leadership without formal management

Responsabilidades

• Design and deliver end-to-end data solutions for enterprise clients.
• Gather business requirements and translate into scalable 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.

Conocimientos

SQL

PySpark

Data modeling

English proficiency

Technical leadership

Herramientas

Azure

AWS

GCP

Databricks

Snowflake

Parquet

Descripción del empleo

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.