Senior Data Engineer

We are looking for a Senior Data Engineer to support the buildout of a centralized data platform in Snowflake. This role will focus on designing and implementing scalable data pipelines to consolidate large volumes of data from diverse sources into a unified platform. The emphasis is on high-throughput data engineering delivery, with a strong focus on scalability, reliability, and rapid execution.

Requirements: 

• Structured and semi-structured data 
• Large datasets (high-volume ingestion and processing) 
• Understanding of Medallion architecture and modern data platform design 
• Experience with orchestration tools (e.g., Airflow or similar) 

Advanced (Nice to Have) 

Experience with: 

• DataOps / observability frameworks 
• Metadata management / data catalogs 
• Multi-source data integration 

Familiarity with: 

• Cloud environments (Azure preferred) 
• Distributed query engines (e.g., Trino) 

Soft Skills / Mindset 

• Ability to work in a high-speed delivery environment with many parallel pipelines 
• Comfortable operating in evolving, ambiguous requirements 
• Strong ownership mindset focused on outcomes, not just tasks 
• Effective communication with technical and business stakeholders 

Engagement Model Context 

• Work as part of a scalable, flexible team, supporting ramp-up/down needs 
• Contribute to rapid delivery of multiple pipelines in a compressed timeline 
• Collaborate with a distributed team across regions 

Responsibilities: 

• Design and build end-to-end data pipelines to ingest and process data from: 
• Internal operational and financial systems 
• Multiple commercial real estate data sources 
• Third-party market and macro datasets 
• Develop transformations using DBT to create clean, reliable, and business-ready datasets (Gold layer) 
• Implement and optimize Snowflake-based data models aligned with Medallion architecture (Bronze / Silver / Gold) 
• Deliver pipelines at scale with a focus on: 
• High performance 
• Cost efficiency 
• Maintainability 
• Collaborate with stakeholders to continuously adapt to evolving requirements in an agile environment 
• Ensure data quality, observability, and reliability, including: 
• Data freshness monitoring 
• Pipeline reliability 
• Data validation and QA 
• Contribute to building a modular, loosely coupled data platform architecture to avoid vendor lock-in 
• Strong experience with Snowflake (data modeling, performance tuning, cost optimization) 
• Hands-on experience with DBT for transformation and data modeling 
• Proven track record building large-scale data pipelines 
• Solid SQL expertise and experience with distributed data systems 
• Data Engineering 

What we offer: 

• Annual paid vacation of 18 working days. 
• Extra vacation days for long-lasting cooperation. 
• Annual paid sick leave of 10 days. 
• Maternity/Paternity leave. 
• The opportunity for sabbatical leave. 
• Marriage and Parenthood Package. 
• Compensation for sports activities or health insurance covering (up to 250$ per year) — after the trial period. 
• Career development plan. 
• English and Spanish classes. 
• Paying taxes and managing PE (Private Entrepreneur). 
• Technical equipment. 
• Internal Referral program. 
• Opportunity to take part in company volunteering activities. 
• Sombra is a “Friendly to Veterans” award-holder.