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Senior Data Engineer - ODS
Design and build scalable data pipelines using Spark and cloud platforms to power analytics and ML for a leading digital bank.
Senior Data Engineer - ODS
Build and optimize large-scale data pipelines using PySpark/Scala and AWS services to power analytics, ML, and reporting for a leading digital bank.
Senior Data Engineer - ODS
Build and optimize large-scale data pipelines using PySpark/Scala and AWS to feed analytics, ML, and reporting for a digital-banking platform.
Azure Data Engineer — Cloud Pipelines & Lakehouse (Hybrid)
Designs and optimizes Azure-based data pipelines and lakehouse architectures using Data Factory, Synapse, and Delta Lake in a hybrid work setup.
Senior Data Engineer
Build and operate scalable data pipelines connecting industrial plants to Azure and Databricks, enabling ML models and analytics for production, energy, and logistics use cases.
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.
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 - Streaming & Batch Pipelines
Build and run real-time and batch data pipelines on AWS using Kafka, Spark Structured Streaming, Delta Lake, and Glue; focus on reliability, performance, and ML feature prep.
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.
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.
Data Engineer Azure
Design, build, and optimize Azure-based data pipelines and cloud architectures, using PySpark, Azure Data Factory, Synapse, and Lakehouse patterns to move and transform data securely and at scale.
Data Engineer
Senior Data Engineer builds and scales a unified data ecosystem for 60+ brands, designing ETL pipelines, data models, and governance to power analytics and AI across team.blue’s ecommerce platform.