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.
- 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.
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
- 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.
Skills Required
- 6+ years experience as a Data Engineer, Analytics Engineer, BI Developer, or similar
- Strong 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 formal people management
- Strong ownership, autonomy, and problem-solving mindset
- Lakehouse architecture
- Notebooks
- Power BI
- Synapse
- Dataflows
- Databricks
- Snowflake
- Parquet and modern columnar storage formats
What We Do
ResilientCo is a professional consultancy firm specializing in all aspects of resilience, including community building, risk management, and emergency and disaster response. The company provides expert guidance in strategy development, organizational resilience, and the management of natural hazards and societal risks, aiming to enhance sustainability and the capacity of organizations and communities to withstand and recover from systemic challenges.
