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Torino, Provincia di Torino💼 Full-time🗓 2025-10-29 → 2026-09-07

Core

Building and optimizing data ingestion and transformation pipelines within a global data platform to serve business users and products.

Role type

Senior Data Engineer (Big Data)

Builds

Interconnected data platform (Data Lake/Lakehouse) for business domains

Domain

Maritime shipping / Logistics

Deliverable

production ML models | product features | dashboards & analysis

Required skills

SQL, Python, Azure Data Factory, Spark, Databricks, Medallion architecture, GIT

Preferred skills

Experience with distributed event ingestion

Responsibilities

Building data ingestion and transformation pipelines, Pipeline/process orchestration (scheduling, fault-tolerance, monitoring), Building data quality guarantees into pipelines

Seniority

Senior, hands-on IC

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