About
We work on international projects and help businesses build modern data platforms, automate data processes and make better decisions using data. You don't need to know everything from day one — we value strong fundamentals, analytical thinking, curiosity and the ability to learn quickly.
Responsibilities
•Develop and maintain SQL queries and Python scripts
•Assist in building and supporting ETL/ELT data pipelines
•Work with structured and semi-structured data; data cleaning, transformation and validation
•Support data integration between systems and help troubleshoot data issues
•Participate in technical discussions and meetings with US-based teams
•Write basic technical documentation
Requirements
•Strong SQL: JOINs, CTEs, subqueries, window functions, aggregations; keys and relationships; basic query optimization
•Strong Python: data structures, functions, OOP, file handling (CSV, JSON, Excel), exception handling, Pandas basics, clean reusable code
•English Upper-Intermediate (B2) or higher — confident speaking in meetings and good written communication
•Strong logical and analytical thinking, basic Git, willingness to learn
•Availability to work during US business hours
•A university degree is not mandatory
Nice to have
•Azure (Data Factory, Databricks, Synapse, SQL Database, ADLS Gen2, DevOps), Microsoft Fabric, Power BI, DAX
•Apache Spark / PySpark, Delta Lake, Airflow, dbt, Docker
•Data Warehousing, data modeling (star schema), SQL Server / PostgreSQL
•GCP (BigQuery) or AWS (S3, Glue, Redshift)
Conditions
•Fully remote, US projects, US time zone
•Salary is negotiable, based on technical knowledge, English level and interview results
•100% remote work from anywhere
•Real enterprise projects for US clients
•Mentorship from experienced Data Engineers
•Growth path: Intern → Junior → Middle → Senior
•Competitive salary based on your skills and interview results
•Long-term opportunity — looking for future team members
