About the role
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.