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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.
Hybrid Junior Data Engineer: ETL, Spark & AI Pipelines
Build and maintain ETL pipelines using Python, SQL, and Spark/Databricks, collaborating with Data Science and BI teams on AI/ML projects.
AWS Cloud Data Engineer/Architect
Designs and builds AWS-based data platforms and pipelines for enterprise clients, using Python, PySpark, and Terraform to enable scalable, governed analytics and cloud-native data architectures.
Data Engineer: Data Lake, Spark & Airflow in Bologna
Designs, builds, and maintains data pipelines and a Data Lake using Spark, Airflow, and Delta Lake, collaborating with stakeholders.
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.
Databricks Cloud Data Engineer — Remote & Flexible
Designs and optimizes modern cloud data architectures using Databricks, Spark, Kafka, and SQL/NoSQL for scalable, high-performance pipelines.
CLOUD DATA ENGINEER - Rif. H06CDE
Develops and optimizes cloud-based data solutions using Python, SQL, and Databricks/Spark for enterprise clients.
Data Architect/Data Engineer
Designs and builds scalable data architectures on Databricks, implementing Data Lakehouse solutions and high-performance ETL/ELT pipelines using Python, Spark, and Delta Lake.
Senior Databricks Data Engineer
Designs and builds scalable data pipelines on Databricks (PySpark/Scala) and Delta Lake, optimizing cloud-native architectures on Azure for batch and streaming workloads.
Senior Data Engineer IV (Remote)
Senior Data Engineer builds and optimizes scalable data pipelines and systems using Hadoop, Spark, Java, and Scala, while mentoring peers and leading technical designs for data-intensive applications.
Data Engineer II (Onsite – Rome)
Builds and optimizes data-intensive applications using distributed computing tech like Hadoop and Spark, primarily in Java, while collaborating on scalable data architectures.
SENIOR DATA ENGINEER & TRAINING LEAD
Senior data engineer leading projects on Databricks, Snowflake and dbt, while mentoring junior engineers and training teams across Italy and Spain.
Experienced Professional | GCP Data Engineer
Designs and builds scalable, secure GCP data pipelines and ETL/ELT workflows using BigQuery, Dataflow, and Spark to support analytics and AI-driven solutions.
Cloud Data Engineer — Milan/Remote
Builds and maintains a cloud data platform, ingesting new data sources and supporting testing in an agile consultancy environment.
Data Engineer - Turn Data Into Strategic Impact
Data Engineer at an IT consulting firm in Turbigo, Italy, building pipelines and models with Spark, Scala, Python, and NoSQL to turn raw data into business insights for clients.
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 - Rif. G20CDE
Build and optimize cloud-based data solutions using Python, Databricks, Spark, and SQL for clients.
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.
Data Engineer | Microsoft Fabric | Cosenza
Build and maintain data pipelines and analytics solutions in Microsoft Fabric and Azure for enterprise clients, using Spark, Lakehouse, and serverless APIs.
Data Engineer | Microsoft Fabric | Milano
Design and build modern data solutions using Microsoft Fabric and Azure, including Lakehouse, Warehouse, Notebooks, and pipelines.