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Lead Data Engineer / International Project - Milan hybrid
Lead a data engineering team to build and scale AI-driven pipelines for a fintech startup, using GCP, Python, and LLM-based enrichment to analyze financial data.
Staff Full Stack Engineer - Freelance
Staff Full Stack Engineer builds and scales customer-facing travel platforms using Vue/Nuxt, Laravel, and TypeScript, improving performance and UX across web and CMS.
Full Stack Engineer
Build and evolve backend services in C#/.NET, collaborate on React frontends, and help scale the platform on GCP for a startup marketplace.
Remote Data Engineer (GCP): BigQuery & Dataflow
Builds and maintains Google Cloud data pipelines using BigQuery and Dataflow, writing Python or Java code and applying CI/CD practices.
Cloud Data Engineer - BigQuery & Analytics | Remote
Design and manage end-to-end data architecture on Google BigQuery, build scalable data lakes, and automate pipelines using Python and SQL for a fintech company.
Cloud Data Engineer a Torino
Builds cloud data pipelines and Power BI dashboards, working with Python, SQL, and Google Cloud services like BigQuery and Dataflow.
Cloud Data Engineer - BigQuery & Data Lake
Build and maintain cloud data infrastructure for a banking group, migrating to a Google BigQuery data lake and developing Python/SQL pipelines.
Data Engineer (GCP) – Full Remote
Build and maintain data pipelines on Google Cloud using BigQuery, Dataflow, Pub/Sub, and Airflow to process batch and streaming data for analytics and reporting.
Data Engineer - QuantumBlack, AI by McKinsey
Build scalable data pipelines and infrastructure for AI systems, including LLMs and agentic architectures, using Python, SQL, and cloud platforms like AWS/Azure/GCP.
Data Engineer - QuantumBlack, AI by McKinsey
Build and maintain scalable data pipelines and AI-ready data foundations for cutting-edge AI systems, including LLMs and agentic architectures, while collaborating with cross-functional teams.
Cloud Data Engineer - BigQuery & Data Lake (Hybrid)
Builds and evolves Credem’s cloud data infrastructure, migrating legacy systems to a modern Google BigQuery data lake and creating robust Python/SQL pipelines for Salesforce and marketing.
Junior GCP Data Engineer
Build and maintain GCP-based data pipelines, clean and structure raw data, and integrate ML models for clients, using services like Dataflow, BigQuery, and Vertex AI.
Google Cloud Data Engineer
Designs and builds Google Cloud data pipelines, transforms raw data into clean datasets, and integrates ML models for scalable execution to power analytics and AI workloads.
Data Engineer – Cloud & Analytics
Designs and maintains a cloud data lake on Google BigQuery, builds Python/SQL pipelines, and ensures clean, timely data delivery to Salesforce and marketing teams.
Data Engineer – Cloud & Analytics
Builds and maintains a modern cloud data lake on Google BigQuery, writes Python/SQL pipelines, and partners with Salesforce and marketing teams to deliver clean, scalable data.
Big Data Engineer - Technical Leader
Leads Big Data projects for a finance client, designing scalable pipelines and architectures using Cloudera/Databricks, Spark, Kafka, and Python/Java/Scala.
Cloud Data Engineer a Torino
Builds cloud data pipelines and Power BI dashboards, using Python, SQL, and Google Cloud services like BigQuery and Dataflow.
Data Engineer Junior - Data Evolution & Solutions
Build and maintain data pipelines and software solutions for a large European bank, focusing on batch and near-real-time systems using cloud and on-premise tech like Hadoop, Teradata, and Azure.
Cloud Data Engineer – BigQuery & Data Lake
Designs and maintains a cloud data infrastructure using Google BigQuery and data lakes, building Python/SQL pipelines to feed Salesforce and marketing systems with clean, scalable data.