Data Engineer

-Build and maintain Data Lake databases (Market Research, Media, Campaigns, Consumer Data, Sell-Out, Assortment, Price & Promo, Distribution, Sell-In, Profitability).
-Design and evolve dimensional and semantic models for the Data Warehouse (Market Size, Marketing Mix, CRM, Promotion & Inventory Optimization, Demand Planning).
-Monitor data pipelines and proactively resolve issues to ensure reliability and integrity.
-Integrate internal and external data sources into a unified data ecosystem.
-Enforce governance standards (cataloging, lineage, PII masking, access control) and improve data quality.
-Maintain IT infrastructure including Azure Fabric, Snowflake, Databricks, GCP, BigQuery, Looker, Apache Airflow.
-Lead IT projects to deliver data models and dashboards aligned with business goals.
-Collaborate with data scientists, analysts, owners, BI teams, and stakeholders to enable analytics and ML.
-Promote best practices in engineering (CI/CD, IaC, code reviews, monitoring, continuous improvement).

-5+ years of experience in data engineering, BI, and data warehousing.
-Strong skills with Azure Fabric, Snowflake, Databricks, GCP BigQuery, Python, and SQL.
-Experience in building large-scale ETL/ELT pipelines and data models.
-Knowledge of data observability, streaming, CDC (Kafka, Pub/Sub, Debezium).
-Proficient in Apache Airflow for orchestration and MLOps tools (MLflow, Vertex AI).
-Familiar with containers, Kubernetes, and cloud cost optimization.
-Experience with automated testing, data contracts, and data product design.
- Strong understanding of data science and AI in business contexts.
-Experience leading data teams and driving data strategies.
-Excellent communication skills with the ability to simplify technical topics.
-Adaptable and innovative, staying up-to-date with modern data trends.
-Fluent in English (spoken and written).

-Hybrid working model.
-Flexible working hours.
-Ticket Restaurants.
-Pension plan.
-Fully equipped Gym.
-Breakfast and fresh fruit.