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First Data Platform Engineer: Build the Standard (Hybrid)
Build and standardize data pipelines for a high-frequency trading firm using Kafka/Redpanda, Debezium, and Kubernetes with IaC/GitOps.
Senior Data Platform Engineer
Builds and owns a new data platform for a high-frequency trading firm, standardizing event streaming, CDC, and data contracts while coaching engineering teams through the transition.
Senior JAVA Backend Developer
Build and maintain a cloud-native, event-driven backend platform for a Fortune 500 client using Java/Spring Boot, Kafka, and AWS services like DynamoDB and MSK/Kinesis.
Consulenti e Trainer Cloud & Data Engineering (Partita IVA)
Freelance consultant/trainer delivers hands-on cloud and data engineering workshops and projects for enterprises, focusing on AWS and Azure pipelines, data governance, and Spark-based data processing.
Senior Data Engineer (Paid relocation to Barcelona)
Senior Data Engineer builds and owns Preply’s scalable data lake and ingestion pipelines, enabling reliable, governed data flows for analytics, ML, and product features across 180 countries.
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.
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.
Data Engineer
Design and build BI systems for public-sector data, including ETL pipelines, SQL databases, and Metabase dashboards to drive decision-making.
Senior Data Engineer
Build and own Preply’s scalable data lake and ingestion pipelines, ensuring trusted, production-grade data for analytics, ML, and product features while collaborating with cross-functional teams.
Data Engineer - Streaming & Batch Pipelines
Build and run real-time and batch data pipelines on AWS using Kafka, Spark Structured Streaming, Delta Lake, and Glue; focus on reliability, performance, and ML feature prep.
Data Engineer
Build and maintain Preply’s scalable data lake and real-time ingestion pipelines, ensuring trusted, production-grade data for analytics, ML, and product features.
Data Engineer: Lakehouse & Real-Time Data Platform
Builds and maintains AWS-based lakehouse and real-time data pipelines using Debezium, Kafka, PySpark and SQL to deliver trusted datasets for business users.
(Senior) Data Engineer (Kafka)
Build and maintain scalable, event-driven data pipelines in AWS using Kafka (MSK), AWS Glue, Python and PySpark to power Aviva’s enterprise Operational Data Store and ensure trusted business data.
(Senior) Data Engineer (Kafka)
Build and maintain scalable Kafka-based data pipelines in AWS for Aviva’s Operational Data Store, using Python, Glue, and PySpark to ingest, transform, and validate enterprise data.
Senior Data Engineer
Build and maintain GCP-based data pipelines (batch/streaming) for analytics and ML, using BigQuery, Dataflow, Pub/Sub, Kafka, and ClickHouse.
Data Engineer
Build and maintain cloud data pipelines and warehouses for a quality intelligence platform, focusing on Redshift, dbt, Airflow, and incremental ETL to support analytics and AI.
Data Engineer
Design and maintain a cloud-based lakehouse on AWS, building real-time ingestion pipelines with Kafka/Debezium and PySpark, and curating trusted analytics layers for fintech decision-making.
Senior Java Developer — FinCrime Microservices & Data Flows
Build and maintain Java/Spring Boot microservices and data flows for financial crime prevention, integrating systems with Kafka, PostgreSQL, and Kubernetes in a hybrid, international team.
Senior Java Developer
Build and maintain Java/Spring Boot microservices and data integrations for a financial-crime-prevention system, using Kafka, Kubernetes, and PostgreSQL in an Agile, international team.