Senior Data Engineer, Central Data Platform & Data Products

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

Descrizione del lavoro

team.blue is seeking a Senior Data Engineer to join the Central Data Platform, creating a robust 360-degree view of customers across 60+ brands. You will design scalable data products, build resilient ETL/ELT pipelines, and lead reference architectures to support BI, operations, and AI initiatives.

You will mentor engineers, ensure governance, and collaborate with Analytics, ML, and AI teams to translate business needs into high-performing data solutions.

Competenze

• 7+ years of professional experience in data engineering or data management.
• Advanced degree (Masters or PhD) in Computer Science, STEM, or related quantitative field.
• Track record deploying stable, high-performance data solutions that drive measurable business value.

Mansioni

• Data Product Innovation: design and deliver scalable data products providing a unified source of truth across a multi-brand ecosystem.
• Pipeline Engineering: build and optimize ETL/ELT pipelines with low latency for downstream AI initiatives.
• Architectural Leadership: lead secure, cost-efficient data architectures and governance practices.
• Governance & Integrity: implement lineage tracking, metadata management and data quality controls.
• Cross-functional Collaboration: partner with Analytics, ML and AI teams to translate requirements into solutions.
• Building for performance: tune pipelines, indexing, and schema evolution for peak performance.
• Mentorship: develop junior engineers and foster technical excellence.

Conoscenze

Databricks

PySpark

SQL

Data Modeling

Airflow

dbt

Docker/Kubernetes

CI/CD

Governance

Formazione

Masters or PhD in Computer Science or STEM

Descrizione del lavoro

team.blue is seeking a Senior Data Engineer to join the Central Data Platform, creating a robust 360-degree view of customers across 60+ brands. You will design scalable data products, build resilient ETL/ELT pipelines, and lead reference architectures to support BI, operations, and AI initiatives.

You will mentor engineers, ensure governance, and collaborate with Analytics, ML, and AI teams to translate business needs into high-performing data solutions.