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Senior Data Engineer
Build and maintain data pipelines and ETL workflows in Python, orchestrating data ingestion from multiple sources for AI-driven fintech analytics and RAG systems.
Senior Data Engineer
Build and maintain data pipelines, manage distributed databases, and support development teams using SQL, PySpark, and streaming tech like Kafka.
Senior Data Engineer
Build and maintain scalable data pipelines and infrastructure using Databricks, Spark, ClickHouse, and Kafka to power real-time analytics and ML for mobile app monetization.
Senior Data Engineer
Build and own the data platform that powers AI model compression and quantum-inspired optimization products, designing ETL pipelines, lakehouse architectures, and governance workflows in Python/SQL on cloud platforms.
Data Engineer + AWS
Build and maintain scalable data pipelines on AWS using Spark, Kafka, and Python to feed a Data Lake for enterprise clients.
Senior Data Engineer
Design and build scalable data platforms and ETL pipelines using Python, SQL, Spark, and cloud tools (AWS/Azure/GCP) to enable clean, governed data for analytics and AI.
Data Engineer - AWS
Design and build scalable cloud data pipelines on AWS, using Python, Spark, and modern data architectures to enable reliable analytics and business insights.
Data Engineer - Data Platforms & Architecture
Design and build scalable data pipelines and modern data architectures (Snowflake, BigQuery, Redshift) using ETL/ELT tools (dbt, Talend, Informatica) and modeling approaches (Kimball, Data Vault, Lakehouse).
Senior Data Engineer
Build and own scalable data platforms and ETL pipelines for AI/ML and quantum-inspired optimization products, ensuring clean, versioned, and accessible datasets for analytics and AI workflows.
Senior Data Engineer
Build and evolve a global data platform using Microsoft Fabric, lakehouse architecture, and Azure, designing scalable pipelines and reusable data models for analytics and AI.
Senior Data Engineer
Senior Data Engineer builds and scales a global data platform using Microsoft Fabric, designing lakehouse pipelines, governance standards, and modern engineering practices for analytics and domain-driven data products.
Senior Data Engineer
Build and own scalable data platforms and ETL pipelines for a leading EU quantum/AI company, using Python, Spark, Airflow, and lakehouse tech like Iceberg/Delta Lake.
Data Engineer
Build and maintain a cloud-based data lakehouse, design scalable data models, and develop ETL/ELT pipelines in AWS for analytics use cases across marketing, HR, and operations.
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
Build and maintain enterprise-grade data pipelines and analytics platforms using Microsoft Fabric, Databricks, and Power BI to enable cost-management reporting and data-driven decisions.
Spark Data Engineer
Build end-to-end data pipelines and modern data architectures (Data Lakehouse, Data Mesh) using Spark, Python/Scala, Airflow, and cloud platforms (AWS/Azure/GCP) to turn raw data into scalable analytics and insights.
Data Engineer - Madrid
Build and maintain data pipelines, optimize data storage, and ensure reliable data flows for analytics and AI teams using cloud and distributed systems.
Azure Data Engineer
Build and optimize Azure-based data pipelines and architectures, implementing scalable cloud solutions with Azure Data Factory, Databricks, and PySpark.
Data Engineer (Databricks)
Senior Data Engineer to build and maintain a Databricks-based data platform for dynamic pricing and BI in high-volume retail, using Medallion architecture, PySpark, and Azure Data Factory.
Data Engineer Azure
Build and optimize Azure-based data pipelines and cloud architectures, using Azure Data Factory, Synapse, PySpark, and Medallion/Lakehouse patterns to move and transform data securely and at scale.