DWH Engineer

We're Gypsy Collective. The digital world is evolving faster than ever. New opportunities, new challenges, new ambitious goals. That’s why strong businesses need strong people.

Gypsy Collective is an exclusive talent partner for selected brands. We help our partners attract exceptional talent by building long-term relationships and becoming deeply integrated into their business, culture, and growth ambitions.

We are looking for a DWH Engineer to design, build, and maintain scalable data warehouse solutions that support analytics and business decision-making. You will work across the full data lifecycle - from data ingestion and transformation to orchestration and optimization - while collaborating with analysts, engineers, and business stakeholders.

📅 Your adventures include:

• Develop, and maintain DWH and Data Lake solutions aligned with business requirements;
• Build, optimize, and support ETL/ELT pipelines using Python, SQL, Airflow, and related technologies;
• Integrate and maintain data flows from APIs, databases, SaaS platforms, and third-party systems;
• Work with Trino and cloud-based analytical platforms to support reporting and analytics needs;
• Implement and support incremental loading, CDC processes, backfills, and reprocessing workflows;
• Monitor, troubleshoot, and improve data pipelines to ensure reliability, stability, and timely delivery of data;
• Implement data quality checks, validation rules, and automated monitoring processes;
• Optimize SQL queries, data models, and pipeline performance;
• Collaborate with analysts, BI developers, engineers, and business stakeholders to deliver scalable data solutions;
• Participate in code reviews and contribute to engineering standards and best practices.

Requirements

🧭 What makes you a great match:

• Strong SQL skills, including complex queries, CTEs, window functions, analytical queries, and query optimization (2+ years);
• Strong experience integrating external data sources, including REST APIs, databases, SaaS platforms, and third-party systems;
• Experience with Apache Airflow (2+ years);
• Experience with Python for data processing, integrations, and automation (2+ years);
• Good understanding of DWH concepts, including ETL/ELT, dimensional modeling, Data Vault, and Star/Snowflake schemas (2+ years);
• Experience building and supporting production data pipelines with a focus on reliability, stability, monitoring, and error handling;
• Understanding of data quality principles, including validation, testing, reconciliation, and monitoring;
• Experience with Git