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Data Architect & Engineer: Databricks Lakehouse, Remote
Designs and builds scalable data architectures on Databricks Lakehouse, including ETL/ELT pipelines and REST API integrations using Spark and Python.
Senior Databricks Data Engineer – Cloud-Native ETL
Designs and builds cloud-native ETL pipelines on Databricks and Azure using Spark and Hadoop to ensure high-quality, high-performance data flows.
Data Engineer (L.68/99 - Categorie Protette)
Build and optimize ETL pipelines and data processing workflows using Python, Spark, and SQL databases for clients across industries.
Data Engineer: Python/SQL, Spark - Hybrid Milan
Data Engineer builds and maintains ETL pipelines using Python, SQL, Spark, Databricks, and Airflow to support IT projects for clients.
Big Data Engineer — Java + Spark ETL Specialist
Builds and maintains Java-based ETL pipelines using Apache Spark and Hadoop to process large enterprise datasets.
Big Data Engineer | Cloud, Spark, Kafka & NoSQL
Designs and implements Big Data pipelines using cloud platforms, Spark, Kafka, and NoSQL databases to process and analyze large datasets.
Remote Data Engineer - Spark, Hadoop & Growth Path
Designs, builds, and optimizes distributed data pipelines using Hadoop, Spark, Java, and Docker for high-throughput data projects.
Data Engineer Senior: Spark, Azure & BI (Remote)
Senior Data Engineer builds and maintains Azure-based pipelines with Spark, Delta Lake, and Power BI to process and analyze data from Excel, CSV, JSON, APIs, and relational databases.
Hybrid Cloud Data Engineer | Python, Databricks, Spark
Builds and optimizes cloud-based data pipelines using Python, Databricks, and Spark to process and model large datasets.
Data Engineer: Python/SQL, Spark - Hybrid Milan
Data Engineer builds and maintains ETL pipelines using Python, SQL, Spark, Databricks and Airflow to process large datasets for clients.
Remote Data Engineer - Spark, Hadoop & Growth Path
Designs, builds, and optimizes distributed data pipelines using Hadoop, Spark, Java, and Docker for high-throughput data projects.
Data Software Engineer
Build and optimize data pipelines and infrastructure for motor insurance analytics, using Python, Spark, Kafka, and cloud platforms to enable forecasting and data science workflows.
Data & Analytics Engineer
Builds and maintains data pipelines, KPIs, and BI dashboards on Databricks, integrating AI-driven analytics for a 2.5M-customer platform.
Data Engineer: Python/Scala + Spark on Cloud (Hybrid Torino)
Builds and maintains data pipelines using Python, Scala, and Spark, deploying on AWS, GCP, or Azure for an IT-focused company in Torino.
AI Engineering Manager (Full-Stack) - Milano
Lead AI engineering teams to design and deliver scalable generative-AI and data platforms for clients in automotive, healthcare, and other sectors, using Python, cloud stacks, and MLOps tooling.
Data Infrastructure Engineer
Design and scale secure, reliable data infrastructure for a B2B Generative AI startup, focusing on Kubernetes, Kafka, Spark, and Python to support AI model training and retrieval systems.
Data Engineer: Streaming e Lakehouse (CDC)
Builds a real-time data platform using CDC, Kafka, Cloudera, Iceberg, and Spark to implement a Medallion Lakehouse architecture.
Senior Data Engineer | Remote, Cloud & Data Platform Lead
Designs and builds scalable data pipelines and analytics platforms using SQL, Spark, and cloud services like Azure/GCP.
Data Engineer: Microsoft Fabric & Azure Data Platform
Designs and builds data pipelines and warehouses using Microsoft Fabric and Azure, leveraging Apache Spark for large-scale datasets.
Data Engineer: Data Lake, PySpark & Power BI — Remote
Designs data pipelines and lakes, transforms data with PySpark/Spark SQL, and builds Power BI dashboards for manufacturing or agri-food clients.