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DTNUM 92 - Data engineer d'un projet ministériel sensible H/F (SIC)
Builds and maintains secure data pipelines for a sensitive government project using Python, Spark, Hadoop, and Kafka, ensuring data quality and compliance with RBAC/ABAC models.
Data Engineer (Software Engineer, Data)
Build and maintain scalable data pipelines using Kafka, Spark, Airflow, and Python to power AI/ML products, fraud detection, and recommendation engines in a hybrid Dubai role.
Data Engineer
Design and build scalable data pipelines and real-time streaming solutions using Spark, Kafka, and cloud platforms to transform raw data into actionable insights for enterprise clients.
Data Engineer (Software Engineer, Data)
Build and maintain scalable data pipelines for AI/ML products, fraud detection, and recommendation engines using Kafka, Spark, Airflow, and Python in a hybrid Dubai role.
Senior Java Backend Engineer: Real-Time Low-Latency
Build high-performance Java backend services handling real-time data pipelines with Spring Boot and Kafka/Flink in a low-latency environment.
Senior DevOps Engineer - Data Store
Senior DevOps Engineer maintains SailPoint’s Identity Security Cloud platform in the UAE, focusing on data store operations, Kubernetes, and AWS infrastructure to ensure high availability and compliance with local data sovereignty rules.
Data Engineer
Builds and maintains scalable data pipelines using Python, Spark, Airflow, and GCP for analytics and AI-driven workflows.
Software Engineer II - Streaming
Builds and maintains real-time streaming infrastructure for vehicle telemetry and AI/ML platforms using Kafka/Redpanda and Flink in a cloud-native environment.
Principal Data Engineer – PySpark & Real-Time Pipelines
Designs and maintains real-time and batch data pipelines using PySpark, Kafka, Flink, and Azure Data Factory, while mentoring a data engineering team.
Principal Data Engineer (PySpark)
Principal Data Engineer builds and scales real-time and batch data pipelines using PySpark, Kafka, Flink, and cloud orchestration tools, while leading a team to deliver robust analytics infrastructure.
Data Engineer
Build and maintain scalable data pipelines for AI systems, including ETL/ELT, data quality checks, and warehouse/lake architectures using Python, SQL, and cloud tools.
Senior Data Engineer
Build and maintain scalable data pipelines using Kafka, Spark, Flink, and cloud orchestration tools, containerized on Kubernetes, to power real-time and batch analytics for a product-focused team.
Data Engineer
Build and maintain scalable data pipelines and warehouses using SQL, Python, and cloud tools (AWS/GCP/Azure) to feed analytics and ML workloads.
Exciting Anti-Money-Laundering AI Platform - Data Engineer / Data Scientist
Build and maintain real-time AML data pipelines and ML models using Spark, Kafka, and cloud platforms to detect money laundering for financial institutions.
Senior Data Engineer (Data Platform), Brazil
Build and operate a near-real-time data platform using Kafka, Kubernetes, and Snowflake, designing pipelines, governance tools, and CI/CD for ETL/ELT.
Senior Data Engineer
Designs and builds scalable data pipelines and architectures using Python, Spark, Kafka, and cloud platforms (AWS/Azure) to enable analytics and decision-making.
Data Engineer
Designs and builds data pipelines, warehouses, and lakes using Java, Python, Spark, and SQL to move and transform data for analytics and applications.
DevOps Engineer Argentina, Santiago del Estero, Argentina; Bogotá, Bogotá, Colombia; Chile Chic[...]
Build and run Linqia’s AWS-based, Kubernetes-powered influencer marketing platform, automating deployments with Terraform, Jenkins, and GitOps while optimizing cloud costs and reliability.
Software Engineer - Data Integration
Build and operate scalable data pipelines and API-first services that ingest, process, and distribute media intelligence data for brands and partners using Python, Spark, Kafka, and cloud-native tooling.
Software Engineer - Data Integration
Build and maintain scalable data pipelines and API-first services for ad-tech, using Python, Spark, Kafka, and cloud platforms to ingest, transform, and distribute audience data reliably.