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Data Engineer - Bologna
Build and maintain data pipelines, ETL workflows, and a modern Data Lake using Spark, Airflow, Delta Lake, and Parquet to power analytics and business intelligence for an energy/utilities company.
Senior Data Engineer
Senior Data Engineer builds and optimizes data pipelines for telecom OSS/network systems, integrating inventory, topology, and service data using Python, SQL, Spark, Kafka, and Google Cloud.
Senior Data Engineer
Senior Data Engineer builds and scales a Lakehouse-based data platform for a fintech, integrating Redshift, dbt, Airflow, and streaming tools to enable self-service analytics and ML tooling.
Azure Cloud & Data Engineer
Designs and builds Azure cloud architectures, ETL pipelines, and web apps using FastAPI, React, and Databricks for a consulting client.
Senior Databricks Data Engineer
Design and build scalable, high-performance data pipelines on Databricks (Delta Lake, Medallion architecture) using PySpark/Scala, optimizing batch and streaming workloads for large-scale data processing in Azure.
Senior Databricks Data Engineer
Senior Data Engineer builds scalable ETL/ELT pipelines on Databricks (PySpark, Delta Lake) in Azure, designs Medallion architectures, and partners with Data Scientists and BI teams to deliver clean, governed data for analytics and ML.
Senior IOT Data Engineer
Design and build scalable IoT data platforms for embedded and industrial systems, implementing batch/streaming pipelines, data contracts, and governance to power smart factories and connected products.
Data Engineer Databricks & Lakehouse
Designs and builds data pipelines, ETL/ELT workflows, and scalable Lakehouse architectures on Databricks using Python, Spark, and Delta Lake.
Data Engineer / Databricks Developer
Build and maintain scalable data pipelines on Databricks using Python, Spark, and Delta Lake to ingest, transform, and serve data for analytics and AI workloads.
Software Data Engineer (AWS)
Build and maintain cloud-native data pipelines on AWS, ingesting manufacturing data via Kafka and processing it into a medallion lakehouse for analytics and ML workloads.
Data Engineer ambito Big Data
Build and maintain scalable Big Data pipelines using Debezium, Kafka, Spark, NiFi, and Iceberg to move and process data from source to analytics-ready layers.
Senior Data Engineer
Build and optimize data pipelines using Microsoft Fabric, SQL, and ETL/ELT tools to modernize enterprise data platforms and integrate systems via REST APIs.
Senior Data Engineer
Build and maintain scalable data pipelines and warehouses using Spark, Airflow, and AWS to power AI-driven fintech products for asset-based finance.
Senior Data Engineer
Senior Data Engineer builds and scales a Lakehouse-based data platform with Redshift, dbt, Airflow, and streaming pipelines to power analytics and ML at a fintech company.
Senior Data Engineer
Senior Data Engineer designs and builds scalable ETL/ELT pipelines and distributed data architectures (cloud, on-prem, or hybrid) using Python, PySpark, and SQL for modern data platforms.
Data Engineer - Bologna
Designs and maintains batch and real-time data pipelines, builds and evolves a company data lake, and models data for analytics using Spark, Airflow, Delta Lake and Parquet.
Data Engineer - Bologna
Builds and maintains data pipelines, Data Lake, and analytics infrastructure using Spark, Airflow, Delta Lake, and Parquet to support reporting and business decisions in an energy/utilities company.
Data Engineer – Microsoft Fabric
Build and maintain data pipelines and analytics solutions on Microsoft Fabric for enterprise clients using PySpark, Data Factory, and Power BI.
Data Engineer
Build and maintain real-time data pipelines using CDC, Kafka, Spark, and Iceberg to move and transform operational data into a governed Lakehouse architecture for analytics and business services.
Data Engineer
Build and maintain real-time data pipelines using CDC, Kafka, Spark, and Iceberg to move and transform enterprise data across Bronze/Silver/Gold layers.