Data Analytics Engineer (ETL, SQL, Cloud) — EU ONLY - Ongoing

We’re looking for an experienced EU BASED Data Engineer to support our international analytics team on long-term projects (approx. 50 hours/month). You will help us build reliable data pipelines, clean data models, and cloud-based data infrastructure for clients across the US and Europe. Responsibilities - Build and maintain ETL/ELT pipelines using modern tooling (Airbyte, dbt, Azure/AWS/GCP, etc.) - Design and optimize scalable data models and warehouse structures - Integrate data from multiple sources (ERPs, CRMs, SaaS tools, custom databases) - Ensure data quality, validation, and documentation standards - Collaborate with BI developers to deliver clean, analytics-ready datasets Requirements - 3+ years of experience as a Data Engineer (or similar role) - Strong SQL + experience with data modeling (Star schema, Snowflake schema, etc.) - Hands-on experience with ETL/ELT tools (e.g., Airbyte, dbt, Python-based ETL) - Experience with Azure cloud platform - Familiarity with building and maintaining data warehouses (BigQuery, Redshift, Snowflake, Azure SQL, etc.) - Strong communication & reliability - Strong Python skills - Experience with Power BI or other analytics tools is a big plus What We Offer - Long-term, ongoing work (not one-off tasks) - Flexible hours, 100% remote - Opportunity to work with US & EU clients - Clear scope and structured engineering processes - Competitive monthly compensation To apply Send a brief intro + 2–3 examples of data pipelines or warehouse projects you’ve built (screenshots, repo samples, or short descriptions) + your monthly availability.