Data Engineer

Do you like it when data arrives on time, in the right format, and nothing breaks at 3 a.m.? We’re looking for a Data Engineer who enjoys building pipelines, setting up data warehouses, and making sure analysts and Data Science teams can work without worrying about the data.
With us, you’ll work with a modern stack (Airflow, dbt, Spark, cloud data warehouses) on real projects and have a clear path to the Middle level.

REQUIREMENTS

• 6+ months of commercial experience in Data Engineering (or relevant experience: Backend development, BI, Data Analytics)
• Solid hands-on experience with:
  — Python (6+ months)
  — SQL (6+ months): complex queries, joins, window functions, query optimization
• Practical experience building data pipelines (minimal but real!):
  — ETL/ELT processes
  — Orchestration with Apache Airflow
  — Data transformations with dbt
  — Working with data from APIs, files and databases
• Experience with a data warehouse: Snowflake, BigQuery or Databricks
• Basic knowledge of Apache Spark / PySpark
• Experience with one of the cloud platforms (AWS / GCP)
• Basic experience with Docker and Git
• English level B2 (Upper-Intermediate) or higher

NICE TO HAVE

• Experience with Kafka or stream processing
• Familiarity with Delta Lake or Apache Iceberg
• Basic knowledge of Terraform and CI/CD

WE OFFER

• Work with an experienced team and the opportunity for fast professional growth
• Flexible schedule and fully remote format
• Involvement in interesting projects using a modern tech stack

If this sounds like you, apply now and attach your resume!

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