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Lead Data Engineer
Lead a scalable data platform using Airflow, Spark, Kafka, and Kubernetes on AWS/GCP to ingest, process, and serve real-time and batch data for a global fashion ecommerce group.
Cat-Amania - Développeur Back End Senior JVM / Tech Lead
Leads backend development for a JVM-based, event-driven system using Java/Scala, Kafka, and REST APIs, with a focus on clean code and observability.
Cat-Amania - Développeur Full Stack Senior JVM / Tech Lead
Lead a team building a modern JVM backend (Java/Scala, Spring Boot, Kafka) and an Angular frontend with TypeScript, RxJS, and NgRx, while enforcing engineering best practices and quality standards.
Data Engineer (AWS)
Build and maintain AWS-based batch and streaming data pipelines using Glue, Kinesis, SQS, DynamoDB, and Athena to power real-time analytics and reporting.
Senior Manager, Full Stack Engineer
Leads full-stack development of consumer-facing digital products and marketing platforms to drive engagement, loyalty, and transactions using modern web and cloud technologies.
Senior Data Scientist / AI Engineer
Build and deploy AI/ML models and GenAI solutions for financial clients, leading projects from ideation to production while mentoring teams and bridging business needs with technical execution.
Senior Data Engineer - Spark, Scala & Dashboards (Remote)
Builds and maintains high-performance data pipelines and analytics platforms using Spark, HDFS, and Scala for a consulting firm.
Senior Big Data Engineer (Scala + Spark)
Build and maintain high-performance data pipelines in Scala and Spark to process petabyte-scale datasets and deliver real-time analytics for enterprise clients.
Senior Big Data Engineer (Scala/Python + Spark)
Build and maintain high-performance Spark/Scala pipelines to migrate petabytes of data from legacy systems to modern cloud storage, ensuring data quality and ACID compliance.
Senior Big Data Engineer - Spark/Scala-Python, Flexible
Builds and maintains scalable data pipelines using Scala, Spark, and cloud storage to power analytics for a global tech company.
Senior Data Engineer – Azure Databricks - Banking
Senior Data Engineer builds and optimizes Azure Databricks pipelines for banking analytics and AI using PySpark, Delta Lake, and cloud-native tools.
Lead Software Engineer (m/v/x) - Lemon
Lead a software team to design, build, and maintain digital tools and cloud solutions while coaching engineers and improving development processes.
Senior Data Engineer (Microsoft Fabric, Azure & Power BI)-DIGI000563
Build and maintain cloud-based data pipelines using Microsoft Fabric, Azure, Python, and SQL to support analytics and reporting for a modern data platform.
DigiTribe - Data Engineer (Azure Databricks & Application Development)
Build and maintain scalable data pipelines and applications on Azure Databricks using Python, PySpark, and SQL, while collaborating with cross-functional teams to deliver robust, cost-efficient data solutions.
Data Engineer (V/M/X)
Build and maintain data pipelines and applications that produce official financial statistics for Belgium’s central bank, using SQL, Python/SAS, and Databricks.
DigiTribe - Azure Cloud Data Engineer (Financial Sector)
Build and optimize Azure-based data pipelines and architectures for financial clients, using Python, SQL, and Azure services like Data Factory, Databricks, and Synapse.
Remote Engineering Manager — Data Platforms & Tech Strategy
Agile Lab in Italy is seeking an Engineering Manager to lead multiple data engineering teams, planning demand, capacity and priorities, and steer architectural decisions. You will drive technical direction and ensure…
Backend & Data Platform Engineering Manager
Lead a team to design and build scalable backend and data platforms for a global travel platform using Java, Scala, or C#.
Junior AI Engineer: Cloud ML & Data Solutions
Design and deploy scalable ML solutions on Google Cloud, collaborating with architects and engineers to implement MLOps practices and production-grade AI systems.
Join Us: Data Engineering to unlock value from Data (Milano-Torino)
Design and build cloud-native and on-premise data pipelines using Spark, Kafka, and cloud platforms to ingest, process, and analyze large datasets for enterprise clients.