Senior Data Engineer

Location: Remote from Argentina, Brazil, Colombia, Georgia, Poland, or Ukraine. Occasional business trips to St. Louis, USA, approximately once every three weeks for one to two days.

Company

AI-native consulting and technology services firm delivering enterprise transformation across cloud, data, software engineering, and artificial intelligence.

What you will do

• Design, develop, and optimize data models and transformation workflows using Snowflake and dbt.
• Design and implement scalable data architecture spanning raw through semantic data layers.
• Modernize Oracle-based ETL and reporting processes and address data performance, consistency, quality, and reconciliation challenges.
• Develop and maintain data processing, transformation, and automation solutions using Python.
• Support DevOps activities, including deployment, configuration, and operational aspects of the data platform.
• Own assigned technical components and deliverables while participating in client-facing technical discussions and architectural decisions.

Requirements

• Strong hands-on experience with Snowflake, including data transformation, modeling, and performance optimization.
• Solid understanding of data modeling principles, data architecture, and scalable data solution design.
• Practical experience with dbt for developing and maintaining data transformation workflows.
• Proficiency in Python for data engineering, scripting, and automation.
• Experience with ETL/ELT processes and modern data pipeline development.
• Familiarity with DevOps practices and containerized environments, including Kubernetes.
• Strong analytical and troubleshooting skills related to data quality, performance, and reconciliation.
• Good communication skills and ability to collaborate directly with client stakeholders and participate in regular technical discussions with US-based teams.
• English proficiency sufficient for regular technical discussions with US-based teams.

Nice to have

• Experience with Oracle databases, Oracle ETL, and legacy reporting environments.
• Experience modernizing data platforms or migrating from Oracle to Snowflake.
• Experience with Power BI and semantic reporting models.
• Snowflake professional certification.
• Experience designing and optimizing analytical data models for enterprise reporting.
• Experience working with distributed, cross-functional engineering teams.
• Background in insurance, reinsurance, or financial services.
• Availability for occasional business trips to St. Louis, USA, approximately once every three weeks for one to two days.

Culture & Benefits

• Work on AI-driven projects across startup innovation and enterprise transformation.
• Collaborate with a global team across continents and cultures.
• Inclusive environment focused on continuous learning and innovation.
• Emphasis on ethical AI standards.