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Data Engineer (Java / Spark)
Build and maintain scalable data pipelines for a major bank using Java, Spark, and cloud-based Hadoop tools like Cloudera.
Data Engineer / AWS & Big Data
Build and maintain cloud-based data pipelines and analytics solutions on AWS using Python and SQL, integrating AI models into business-facing data systems.
Data Engineer. Sector Defensa
Build and maintain robust data pipelines for a cyber-defense project, ensuring high-quality data ingestion, transformation, and delivery using ETL/ELT tools and big-data tech.
Senior Data Engineer
Build and maintain AWS-based data pipelines and ETL/ELT workflows using Python, Spark, and Databricks to feed analytics and ML models.
Senior Data Engineer
Build and maintain cloud-based data pipelines and analytics platforms using Python, SQL, Spark, and BigData tools to deliver business insights.
PySpark Data Engineer
Senior PySpark Data Engineer builds and optimizes data pipelines in cloud environments (AWS/Azure) using PySpark, Hadoop, and SQL Server for clients across industries.
Data Engineer
Build and maintain cloud-based data pipelines and ETL processes to deliver clean, accessible datasets for enterprise clients in advertising and marketing technology.
Data Engineer
Design and maintain scalable data pipelines and warehouses for a global ad-tech platform, ensuring real-time data availability and quality for analytics and decision-making.
Data Engineer - Developer
Build and maintain scalable data pipelines and platforms using Spark, Scala, Kafka, and cloud tech to enable analytics and decision-making across BNP Paribas.
Senior Data Engineer
Senior Data Engineer builds scalable data pipelines, ETL/ELT processes, and cloud-based analytics platforms using Python, Spark, AWS, and modern data stacks to power AI-driven solutions.
Data Engineer
Build and maintain scalable data pipelines using cloud platforms (AWS/Azure/GCP), Databricks, and tools like Spark and DBT to integrate and optimize data workflows for enterprise clients.
Data Engineer
Designs and maintains scalable data pipelines, ETL/ELT processes, and cloud-based data platforms to support analytics and AI in high-security sectors like defense.
Data Engineer
Build and maintain scalable data pipelines using cloud platforms (AWS/Azure/GCP), Databricks, and tools like Spark and DBT to integrate and transform data for clients.
Data Engineer
Design and maintain data pipelines and ETL processes to support AI/ML models and quantum computing applications using Python, SQL, and cloud platforms.
Data Engineer
Build and maintain scalable data pipelines and infrastructure using Scala, Spark, and cloud tools to ensure reliable data processing and availability for users.
Data Engineer
Build and maintain scalable data pipelines and configure Quantexa’s decision-making platform using Spark, Scala, and cloud services to help clients in banking, healthcare, and government detect fraud and manage risk.
Data Engineer
Builds and maintains ETL pipelines using Spark, Hadoop, and cloud tools to process business data, ensuring performance and scalability.
Data Engineer
Build and optimize large-scale data pipelines for aerospace and defense clients using Python, Spark, and PostgreSQL on Cloudera/Hadoop clusters.
Data Engineer
Build and scale data pipelines and storage systems to power AI-driven information verification, working with embeddings, knowledge graphs, and cloud infrastructure.
Senior Data Engineer - Data Pipelines & Content Automation
Builds and optimizes data pipelines to automate scientific content generation, using Spark/Hadoop and cloud solutions to reduce manual entry and improve data consistency.