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Senior Data Engineer
Build and maintain cloud-based data pipelines and models for marketing analytics, enabling 1:1 retargeting and CRM for global brands using Spark, Python, and GCP/AWS/Azure.
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.
AWS Data Engineer
Build and maintain AWS-based data pipelines, ETL/ELT processes, and Redshift models to transform raw data into business insights using Python, PySpark, SQL, and related tools.
Data Engineer (Azure)
Build and maintain cloud-based data platforms on Azure, designing batch/streaming pipelines with PySpark, Python, and Azure Data Factory while collaborating in an agile team.
Senior Data Engineer
Design and maintain scalable cloud-based data pipelines on Databricks/Azure to ingest airport and airline data, enabling ML models that improve air transport operations.
Senior Data Engineer
Build and maintain scalable data pipelines and models for a media company, using SQL, Python, dbt, Airbyte and Airflow to power analytics and ML systems.
Senior Data Engineer
Design, build, and maintain scalable data pipelines and architectures using Python, SQL, Spark, and cloud platforms to enable analytics and data-driven decisions.
Junior Data Engineer
Build and maintain high-performance data pipelines for a real-time ad-tech platform, enabling ML models with clean, scalable data while working in a fast-paced engineering team.
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.
Senior Data Engineer — Cloud Pipelines & Delta Lake
Senior Data Engineer builds and optimizes cloud data pipelines using Apache Spark and MongoDB to support digital-transformation projects in a multicultural team.
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.
Data Engineer (GCP)
Build and optimize data pipelines on Google Cloud Platform (BigQuery, Dataflow, Spark) using Python and SQL to support financial-sector clients.
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 (GCP)
Lead data engineering projects on GCP, building scalable pipelines with Python, PySpark, Airflow, and BigQuery for enterprise clients.
AWS Data Engineer
Build and maintain AWS-based data pipelines, ETL/ELT processes, and Redshift models to transform raw data into business insights using Python, PySpark, and SQL.