We, at recruitment agency Hiringwise, are looking for a Data Engineer for our partner — European e-commerce company.
It is a direct b2b contract for 12 months. Location: Europe, fully remoteTech stack: SQL (window functions, CTEs, performance tuning), Python (data/ETL tooling), Snowflake (preferred) or other cloud data platforms (Databricks, Redshift, Athena), Fivetran (ETL/ELT connectors), AWS (S3, SQS), Airflow/K8s, dbt. We are looking for a candidate who has: * 4+ years of Data Engineering experience; * Proficiency with a modern cloud Data platforms and Data Lakes (Snowflake preferred; Databricks/Redshift/Athena acceptable); * Excellent in SQL, Python; * Hands-on experience with ETL/ELT (DB, files, APIs); * Upper-Intermediate or higher English skills.
Would be an advantage: * Deep, practical experience with Snowflake and/or Databricks; * Experience with DBT; * Google BigQuery exposure; * Data Governance topics (catalog/lineage, data contracts, quality, access policies); * Airflow or similar; * Kafka / event streaming; * Supermetrics; * Solid understanding of database and analytical technologies (partitioning, SCDs, CDC, warehousing patterns).
The tasks include: * Build and evolve a modern, scalable Data Platform used across the company. * Design and implement a cloud Data Warehouse / Data Lakehouse. * Develop robust ELT/ETL pipelines on Python for databases, files, and external APIs. * Model data for analytics and operational use (dbt / SQL), ensuring quality and freshness. * Collaborate with BI and engineering teams to turn requirements into data products.
