Data Engineer
⚲ Warszawa
7 000 - 7 800 USD netto (B2B)
Wymagania
- Python
- OLTP
- SQL
- Snowflake
- RDS
- OLAP
- CI/CD
Opis stanowiska
Data Engineer 💰 $7,000 - $7,800 USD/month 🌎 Hybrid from Warsaw, Poland ☑️ Full-time 🕦 B2B Contract We are hiring a Data Engineer for a fast-growing international technology company delivering enterprise-grade AI and data solutions for organizations across finance, government, and large-scale private sector environments. The company focuses on helping clients centralize and unify data, automate workflows, and generate predictive insights through modern cloud-native architectures and scalable data platforms. This role is ideal for an experienced Cloud Data Engineer with a strong background in Python, SQL, ETL pipelines, and cloud-based data warehousing. You will work on building scalable data infrastructure, optimizing ETL processes, and designing modern data architectures capable of handling structured, semi-structured, and unstructured data across enterprise systems. Requirements • 3+ years of experience with Python development, including Pandas • 5+ years of experience writing complex SQL queries with relational databases • Hands-on experience building and deploying ETL pipelines using Airflow, Prefect, or similar tools • Experience with cloud-based data warehouses such as RDS, Redshift, or Snowflake • Strong understanding of data warehouse concepts including OLTP, OLAP, dimensions, and facts • Experience working with cloud-based data architectures and analytics platforms • Familiarity with DBT and data transformation workflows • Experience handling structured, semi-structured, and unstructured data • Understanding of CI/CD processes and data engineering best practices Nice to Have • Docker and Kubernetes experience • Experience with AWS Lambda or Step Functions • Databricks or PySpark experience • Experience with data partitioning • Cloud certifications Responsibilities • Design and maintain ETL pipelines and data workflows using Python, Prefect, and Airflow • Develop scalable cloud-based data solutions and optimize existing pipelines • Transform, migrate, and validate data using Python, DBT, and Pandas • Design data models and schemas optimized for analytics and reporting • Work with real-time and event-driven data processing solutions • Monitor, troubleshoot, and improve ETL job performance and reliability • Collaborate with engineering teams on code reviews, CI/CD, and best practices Get to know DevsData We are a technology consulting company and a recruitment agency, delivering software solutions to clients from Europe and the US. We work 100% remotely, in an international team. We employ people with experience in international corporations as well as the ones from the best technical and business universities. Find out more: https://devsdata.com