Senior Data Engineer - 360° Customer Data Platform

team.blue; Firenze; In loco; EUR 90.000 - 130.000; Tempo pieno

Descrizione del lavoro

team.blue is seeking a Senior Data Engineer for its Central Data Platform in Italy. You will build and govern a scalable data ecosystem serving 60+ brands, delivering a unified customer view and powering BI, AI, and efficiency initiatives.

You will lead data product design, ETL/ELT pipelines, and architecture while collaborating with Analytics and ML teams. 7+ years of experience and an advanced degree are required.

Competenze

• 7+ years of professional experience in data engineering or data management.
• Advanced degree (Masters or PhD) in Computer Science, STEM, or related field.
• Proven history deploying high-performance data solutions driving business value.

Mansioni

• Data Product Innovation: design scalable data products for a 60+ brand ecosystem.
• Pipeline Engineering: build and optimize ETL/ELT pipelines with low latency.
• Architectural Leadership: lead secure, cost-efficient data architectures and governance.
• Governance & Integrity: implement lineage, metadata, and quality controls.
• Cross-Functional Collaboration: partner with Analytics, ML, and AI teams.
• Building for performance: tune pipelines, indexing, and schema evolution.
• Mentorship: mentor junior engineers and promote technical excellence.

Conoscenze

Databricks

PySpark

Delta Lake

Unity Catalog

SQL optimization

Data modeling

Cloud platforms

Airflow

dbt

Docker

Kubernetes

CI/CD (GitLab/GitHub)

Data governance

Metadata management

Formazione

Masters/PhD in Computer Science, STEM or related field

Strumenti

GitHub

GitLab

Airflow

dbt

Descrizione del lavoro

team.blue is seeking a Senior Data Engineer for its Central Data Platform in Italy. You will build and govern a scalable data ecosystem serving 60+ brands, delivering a unified customer view and powering BI, AI, and efficiency initiatives.

You will lead data product design, ETL/ELT pipelines, and architecture while collaborating with Analytics and ML teams. 7+ years of experience and an advanced degree are required.