Position Overview
We are a technology consultancy working with enterprise B2B clients across the US and Europe — manufacturing, distribution, high-tech. Our teams build and integrate complex digital commerce solutions on platforms like SAP, Salesforce, and Shopify. The project is long-term and actively growing.
What You’ll Do
- Design and develop ETL/ELT pipelines across multiple enterprise platforms
- Build and maintain data warehouses and data lakes
- Ensure data quality, reliability, and security
- Prepare clean, structured datasets to support AI/ML initiatives
- Work closely with architects, developers, and business analysts
- Monitor and optimize data infrastructure for performance
What We’re Looking For
- 5+ years of experience as a Data Engineer
- Strong SQL and Python skills
- Hands-on experience with AWS, GCP, or Azure
- Experience with Airflow, dbt, or Spark
- Familiarity with Snowflake, BigQuery, or Redshift
- REST API and enterprise integration experience is a plus
- English B2+ – you’ll communicate directly with the team and stakeholders
Nice-to-Have Skills
- Experience with Mulesoft
- Experience with Informatica products
- Familiarity with AI development tools (Claude Code, Gemini CLI)
- Experience with containerization (Docker) and orchestration platforms
- Knowledge of cloud data platforms (AWS, GCP, Azure)
- Leadership experience
What We Offer
- Fully remote work
- International team with clear processes
- Paid vacation, holidays, and sick leave
