Azure Data Engineer

Description Azure Data Engineer - Retail Media

Main Skill : DATA

Domain Skills : AZURE, DATA, PYTHON

Nice to Have Skills :

JAVA

Responsibilities

• Ingestion and Integration : Collect data from advertising campaigns (impressions, clicks, conversions) and cross-reference it with transactional data.
• Modeling and Organization : Structure data for performance analysis, attribution and monetization.
• Data Pipelines : Develop ETL / ELT in Azure Data Factory, Databricks, and Delta Lake.
• Streaming and Near Real-Time : Implement solutions for high-frequency event ingestion (Kafka, Event Hub).
• Quality and Governance : Ensure compliance with LGPD / GDPR, anonymization and lineage with Unity Catalog.
• Integration with Analytics Platforms and AdTech : Prepare data for Analytics Team (BI) and activation environments (DSPs, CDPs, Data Clean Rooms).

Technical Skills

• Cloud : MS Azure (Data Lake, Data Factory, Key Vault).
• Big Data : Databricks (Py Spark, Delta Lake).
• Languages : Python, SQL.
• Governança : Unity Catalog, LGPD / GDPR.
• Orchestration : Azure Data Factory
• CI / CD : Git, Azure DevOps.
• Monitoring : Log Analytics, alerts.

Differentials

Specific Knowledge of Retail Media

• Ecossistema AdTech / Mar Tech : DSP, SSP, Ad Servers, DMPs, CDPs.
• Digital média metrics : CTR, CPC, ROAS, impressions, clicks, conversions.
• Attribution models : Last-click, multi-touch, incrementality.
• Ad platform APIs : Google Ads, Criteo, The Trade Desk, Amazon Ads.
• Privacy applied to advertising : Consent, anonymization, digital IDs (cookies, device IDs, hashed emails).
• Data Clean Rooms : Concept and integration for secure data sharing.