Back to SearchSenior Data Engineer
Remote in Argentina, & 4 others
Data Software Engineering& 7 others
Looking for something else?
Find a vacancy that works for you. Send us your CV to receive a personalized offer.
Find me a job
Choose an option
We are looking for a Senior Data Engineer to build and evolve a next-generation analytics platform with a strong focus on Databricks-based data products. You will combine hands-on delivery, technical leadership, and architecture to enable trusted, scalable, and AI-enabled data capabilities.
Responsibilities
- Design scalable data ingestion and transformation frameworks for analytics use cases
- Build batch, near real-time, and streaming pipelines using Databricks and Apache Spark
- Define Databricks best practices for Medallion layers, performance, and operations
- Deliver end-to-end data products from raw ingestion through governed consumption layers
- Develop trusted analytical datasets and semantic models for reporting and self-service
- Implement data quality, lineage, monitoring, and observability across pipelines
- Lead proof-of-concepts and evaluate new capabilities within the Databricks ecosystem
- Enable AI-assisted engineering patterns and reusable accelerators for faster delivery
- Coordinate with engineering and analytics stakeholders to align on delivery plans
- Mentor engineers and promote consistent platform standards across teams
Requirements
- 3+ years of data engineering experience with modern data platforms
- Strong leadership skills to drive engineering standards and mentor other engineers
- Proven project delivery experience building enterprise analytics solutions end to end
- Advanced Apache Spark and PySpark skills for large-scale processing
- Advanced Databricks skills in production environments, including performance tuning
- Strong SQL skills for transformation logic and analytics-ready datasets
- Solid data architecture knowledge, including Lakehouse and Medallion patterns
- Hands-on CI/CD and data engineering SDLC experience using Git-based workflows
- Strong data governance skills covering security, quality, and operational controls
- Excellent communication skills to lead technical discussions with cross-functional teams
- Upper-Intermediate English proficiency (B2) for effective collaboration
Nice to have
- Data Architecture experience designing scalable Lakehouse patterns
- Data Solution Architecture experience translating business needs into platform designs
- Scala experience for Spark-based pipeline development