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Build and maintain scalable, secure data pipelines and cloud architectures (AWS/GCP/Azure) to collect, transform, and deliver high-quality data for analytics and AI use cases.
Design, maintain, and optimize industrial data pipelines and real-time reporting systems for a manufacturing group with 15 global plants.
Design and build scalable data pipelines and cloud-based data platforms for clients, using tools like Terraform, Spark, Kafka, and Snowflake.
Build and maintain scalable cloud-based data pipelines using Modern Data Stack tools like BigQuery, DBT, and Airflow to enable AI-driven insights for enterprise clients.
Build and maintain data pipelines and ETL workflows using Python, Spark, and cloud tools to integrate and transform large datasets for enterprise clients.
Build and optimize data pipelines for a fintech’s Data Lake using Snowflake, DBT, Pulumi, AWS, and Python, then deliver analytics via Power BI.
Senior Data Engineer builds and maintains cloud-based data pipelines for enterprise clients, using Python, SQL, dbt, and Airflow to integrate, transform, and deliver reliable analytics-ready data.
Build SQL and Python analyses, dashboards, and data pipelines to guide retail and energy strategy at a major French distributor.
Senior Data Engineer builds and maintains robust data pipelines, ensuring quality and integrity while collaborating with clients to optimize data infrastructure using tools like Spark, Kafka, and cloud services.
Build and deploy MLOps pipelines to collect robotics data, orchestrate model training, and automate deployment for AI-driven warehouse automation systems using Python, cloud infra, and Kubernetes.
Build and optimize secure, scalable data pipelines and architectures for enterprise clients, translating business needs into robust data solutions while ensuring compliance and performance.
Build and maintain data pipelines in Microsoft Fabric, model insurance-brokerage data, and deliver clean datasets for BI, analytics, and regulatory reporting.
Builds and maintains data pipelines, warehouses, and lakes to integrate industrial systems (ERP, MES, IoT) and enable reporting, BI, and AI projects.
Build and maintain scalable data pipelines and architectures to feed AI/ML models, ensuring data quality and enabling automated model training and deployment.
Build and maintain data pipelines, ETL processes, and BI dashboards using Python, GCP/AWS, and Power BI to support business analytics and reporting.
Designs and builds scalable data pipelines in Python, SQL, dbt and Airflow, manages cloud data warehouses (BigQuery, Snowflake, Databricks), and explores generative AI to automate workflows for enterprise clients.
Senior Data Engineer builds and optimizes Snowflake-based data platforms on AWS, designing pipelines, transformations, and CI/CD workflows to industrialize modern data solutions.
Riot is a product-first company on a mission to grow cybersecurity culture. As GTM Engineer / Growth Manager, you will own the growth engine, designing data pipelines, tooling, and playbooks to turn signals into…
Design and build ETL pipelines and data models using ODI/Talend or Sémarchy xDI, optimize SQL queries, and support BI reporting for government and enterprise clients.
Build and maintain data pipelines, warehouses, and BI dashboards to turn raw data into reliable insights for business decisions using Python, PostgreSQL, and Power BI.
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