Data Engineer (Senior)
Pubblicato il 15-09-2026 - Team.Blue in Firenze
Overview
As a Senior Data Engineer in Central Data Platform, you build and govern a scalable data ecosystem that delivers a 360-degree view of customers across 60+ brands. You will design high-value data products and data architectures that serve BI, operations, and AI initiatives. This is a cross-brand role, enabling trustworthy data as the single source of truth. You’ll collaborate with Analytics, ML, and AI teams to drive measurable business value and transformative insights.
Responsabilità
- Design and deliver scalable data products providing a unified source of truth across 60+ brands
- Build and optimize ETL/ELT pipelines for large-scale structured and unstructured data
- Lead secure, cost-efficient data architecture design and enforce best practices in modeling, orchestration, and observability
- Implement data governance with lineage, metadata management, and quality controls for a reliable semantic layer
- Collaborate with Analytics, ML, and AI teams to translate business needs into technical solutions
- Tune data pipelines for peak performance focusing on indexing, query optimization, and schema evolution
- Mentor junior engineers and foster a culture of technical excellence
Requisiti fondamentali
- 7+ years in data engineering or data management
- Advanced degree (Masters or PhD) in Computer Science, STEM, or related quantitative field
- Proven track record deploying high-performance data solutions with measurable business value
- Deep hands-on experience with Databricks (PySpark, Delta Lake, Unity Catalog) or equivalent table formats
- Expert-level SQL with optimization and data modeling skills (Dimensional, Star Schema, Snowflake)
- Proficiency in at least one cloud provider (AWS, Azure) and modern orchestration tools (Airflow, dbt)
- Strong DevOps/Engineering skills (Docker, Kubernetes) and CI/CD with GitLab or GitHub
- Experience with data versioning, schema evolution, and distributed metadata management
- Strategic thinking
- Effective communication with non-technical stakeholders
- Problem-solving under fast-paced, multi-workstream environments
- Databricks (PySpark, Delta Lake, Unity Catalog)
- Advanced SQL and data modeling (Dimensional, Star Schema, Snowflake)
- Cloud platforms (AWS, Azure)