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Data Engineer
Designs and implements data pipelines and integrations for a retail-focused AI platform, using Python, MS SQL Server, and cloud tools to connect planning and business systems.
Data Engineer
Build and maintain data pipelines (ETL/ELT) using Python, Spark, and cloud tools to feed analytics, AI, and ML initiatives for a fintech company.
Data Engineer
Build and maintain data pipelines (ETL/ELT) using Python, Spark, and cloud services to feed analytics, AI, and ML initiatives for a leading Italian fintech company.
Data Engineer
Builds and maintains data pipelines and warehouses for enterprise clients using Python, SQL, Spark, and Databricks.
Big Data Engineer
Builds and maintains scalable big-data pipelines and storage layers using Spark, Kafka, and NoSQL databases to support analytics and ML workloads for an insurtech and IoT-focused company.
Azure Data Engineer: Build Data Lakes & ML Pipelines
Build and maintain Azure-based data lakes and machine learning pipelines for enterprise clients using Azure Data Factory and Databricks.
Jr Data Engineer
Build and maintain data pipelines and ETL processes for a global chocolate and gelato company, working with SQL, cloud platforms, and Databricks.
Lead Data Engineer
Lead the design and operation of Klarna’s AWS-based analytical data platforms, building scalable pipelines and warehouses with Spark, Iceberg, Redshift, and Databricks to power analytics and ML.
Tirocinante Data Engineer
Tirocinante Data Engineer supporting a modern data stack with Azure Databricks, Apache Spark, and Power BI for client projects in a hybrid Milan-based team.
Software/Data Engineer
Build and maintain data pipelines and products for motor insurance pricing and underwriting, using Python, Spark, Kafka, and cloud platforms like AWS.
Azure Data Engineer
Designs and builds cloud-native data pipelines on Azure, integrating data for analytics and ML models using Spark, Databricks, and Azure Synapse.
Data engineer - roma
Builds and maintains scalable data pipelines and cloud data platforms on Microsoft Azure, using Python, Azure Databricks, and Microsoft Fabric to support analytics and ML workloads.
Azure Data Engineer
Designs and builds Azure-based data pipelines, ETL/ELT workflows, and data lakes to feed analytics and ML models, collaborating with architects and analysts.
Databricks Data Engineer for AI Pipelines
Designs, builds, and optimizes Databricks-based data pipelines for AI and Generative AI workloads, ensuring data quality and governance while collaborating with Data Science, BI, and IT teams.
Energy Data Engineer
Builds digital twins and ML models to optimize energy use in buildings, analyzing HVAC data and deploying analytics dashboards.
Data Engineer
Builds and maintains scalable data pipelines and platforms using Microsoft Fabric and Databricks for an enterprise client, with hands-on ETL/ELT and cloud data tech.
Data Analytics Engineer — Modern Data Pipelines in Rome (Hybrid)
Builds and maintains modern data pipelines and distributed architectures using SQL, Python, PySpark, Azure, Microsoft Fabric, and Databricks.
Data Engineer
Data Engineer builds and maintains ETL pipelines and data warehouses using Python, SQL, Spark, Databricks, and Airflow for clients in an IT consulting firm.
Data Engineer - Databricks & Data Pipelines (Remote)
Designs and builds data pipelines in Databricks using Python, SQL, and Apache Spark to process and enrich industrial clients’ datasets.
Customer Data Engineer: Cloud Data Pipelines & Analytics
Builds cloud data pipelines and ETL/ELT workflows on GCP/Azure using SQL, Python, and Spark to feed CRM and marketing analytics for Consumer Markets and Financial Services clients.