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Senior Cloud Data Engineer: Pipelines & DataOps
Design and build robust, maintainable cloud data pipelines using Python, SQL, dbt, and Airflow for a data platform.
Data Engineer
Build and maintain scalable data pipelines and models (Snowflake, dbt, Airflow) to power analytics, reporting, and AI use cases for a global enterprise integration platform.
Data Engineer (GCP) – Pipelines & Snowflake
Design and build GCP-based data pipelines using Snowflake and dbt, collaborating across international teams to deliver modern data architectures.
Data Engineer GCP & DBT: Build Scalable Data Pipelines
Build and maintain scalable ETL/ELT pipelines on GCP and BigQuery using dbt; collaborate with analytics and marketing teams to industrialize data processes.
AWS Data Engineer — Pipelines & Cloud Automation
Build and optimize AWS data pipelines for enterprise clients, focusing on automation, cloud-native tooling (Spark, Airflow, Terraform), and scalable data platforms to enable analytics and business insights.
Snowflake Data Engineer – Architecture & Pipelines
Design and build modern Snowflake data architectures and robust dbt pipelines for financial projects, optimizing SQL queries and managing platform costs.
Data Engineer - Architecte Data & Pipelines Cloud
Designs and rebuilds cloud data pipelines and warehouses for a real-estate tech company using Python, SQL, DBT, and GCP/AWS.
Ingénieur Cloud & DevOps – Projet Data (H/F)
Builds and runs cloud-based data pipelines and analytics platforms using GCP/AWS, Spark, Python, and Terraform to support internal decision-making and high-traffic services.
Ingénieur DevOps Data
Maintain and evolve a large-scale data platform using DevOps practices, CI/CD pipelines, Kubernetes, and cloud tools like AWS/Azure.
Senior Python Developer / Data Engineer
Build and maintain scalable data pipelines in Python and Airflow on Google Cloud Platform, focusing on ETL/ELT, data modeling, and reliability for a modern data stack.
Développeur Backend - Data et Intégrations H/F
Build and maintain scalable backend services and data pipelines for a home-improvement group, using Python, FastAPI, Airflow, Snowflake, and PostgreSQL.
Développeur Backend Data & Intégrations – API et Pipelines
Build and maintain scalable backend APIs and data pipelines for a home-improvement group, using Python, FastAPI, Airflow, Snowflake, and PostgreSQL.
Data Engineer (w/m/d)
Build and optimize data pipelines, serverless AWS infrastructure, and backend components using Python, SQL, and Docker for a rail-vehicle manufacturer’s data platform.
Data Platform Engineer (m/w/d)
Build and maintain modern data pipelines in Azure and Microsoft Fabric to power analytics, reporting, and ML models for an e-commerce agency.
Data science engineer
Build and maintain ETL/ELT pipelines in Python and Spark/Scala to transform healthcare reference data into reliable datasets for SaaS products and partners, while collaborating with AI engineers and product teams.
Data analytics engineer, data science engineer
Build and maintain ETL/ELT pipelines in Python and Spark/Scala that transform healthcare data into reliable datasets for SaaS products, using FastAPI, Airflow, dbt, and AWS.
Data Science / Data Engineer
Build and maintain ETL/ELT pipelines in Python and Spark/Scala to transform healthcare data into reliable datasets for SaaS products, using FastAPI, Airflow, dbt, and AWS.
Senior Data Engineer (m/w/d)
Build and maintain ETL/ELT pipelines and a modern data platform using Airflow, dbt, and Synapse to move data from SAP/Salesforce into BI and applications.
Senior Data Engineer (m/w/d)
Build and maintain modern data pipelines in Azure and Microsoft Fabric to feed analytics, reporting, and ML models for an Amazon-focused ecommerce agency.
Engineering Manager, DevOps
Lead a DevOps team to build scalable, self-service infrastructure on AWS and Kubernetes, enabling autonomous deployments and observability for a high-growth ecommerce platform.