Data Engineer Master (Snowflake)

• Coordination with business side
  
• Design implementation and test of data pipelines with the goal of enabling business analysis
  
• Capable to implement near real-time scenarios
  
• Development of Event-driven solution.
  
• Experience with POS will be necessary to provide a laptop
  

Requirements

• Bachelors degree in software engineering Computer Engineering or a related field.
  
• 8 years working as a data engineer
  
• 3 years in a lead / senior role (owning design decisions reviewing work of others).
  
• Strong experience with: Customer 360 / CDP or similar customer data platforms and Large-scale data pipelines on Snowflake (core requirement).
  
• Background in retail or ecommerce (online store data is a plus).
  

• Experience moving data platforms from on-prem BI/DWH to cloud.
  
• Very strong SQL (joins window functions query tuning) and strong knowledge in Python
  
• Design and build of ETL/ELT pipelines: Incremental loads using timestamps or change flags and error handling restart / re-run without data issues.
  
• Good knowledge of data modelling: Dimensional models (facts and dimensions) and Customer data concepts: identities events sessions behaviour.
  
• Hands-on with: Warehouses schemas stages file formats; tasks streams Time Travel micro-partitions; roles permissions and separation of environments (dev/test/prod).
  
• Used to improving performance and cost: query tuning and clustering and warehouse sizing and auto-suspend.
  

• Experience with at least one major cloud (Azure AWS or GCP).
  
• Worked with orchestration tools (Azure Data Factory Airflow dbt or similar).
  
• Basic CI/CD for data pipelines (e.g. Azure DevOps GitHub Actions).
  
• Git-based development (branches pull requests code review).
  
• Experience connecting data to MarTech / CDP tools (e.g. Braze Salesforce Marketing Cloud Adobe Campaign etc.) and Ingesting data from: CRM / ecommerce platforms (e.g. Salesforce or similar) Web/app analytics tools (GA/GA4 or similar) and POS / store systems and customer support tools.
  
• Comfortable working with event data and near real-time feeds.
  
• Setting up data checks (completeness duplicates basic business rules).
  
• Monitoring jobs and data freshness creating alerts when something fails.
  

• Direct experience integrating Braze with Snowflake.
  
• Background with Microsoft BI stack (SSIS/SSAS/SSRS) and migrations to Snowflake.
  
• Experience preparing datasets for data science / ML (RFM churn recommendation models).
  
• Certifications in Snowflake or cloud data (Azure AWS GCP).
  

Benefits

• Our company does not sponsor work visas or work permits. All applicants must have the legal right to work in the country where the position is based.
  
• Only candidates who meet the required qualifications and match the profile requested by our clients will be contacted.