Data Engineer

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 6 months.

🌎 Location: remote

Tech stack:

SQL (window functions, CTEs, performance tuning), Python (data/ETL tooling), Snowflake, 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.