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Senior Data Engineer (F/H) - Niort
Build cloud-native data pipelines and AI-enhanced analytics platforms using Python, SQL, Airflow, and GCP tools like BigQuery and Vertex AI for insurance and enterprise clients.
Data Engineer DBT (H/F) – Grenoble
Build and maintain data pipelines using dbt, SQL, and cloud warehouses; model, test, and document transformations while collaborating with teams to ensure reliable data delivery.
Senior GCP Data Engineer & DataOps Lead
Senior Data Engineer designing and building cloud data pipelines and warehouses on GCP using BigQuery and Dataflow for a consulting team.
Alternance – Data Engineer – Services Financiers – Data factory -Nantes
Alternant Data Engineer in Sopra Steria’s Data Factory, building and optimizing Big Data pipelines for financial clients using Spark, Python, SQL, and cloud tools like Databricks and Snowflake.
Senior Cloud & Data Engineer (GCP) - Hybrid
Design and build end-to-end data architectures on Google Cloud, using DBT and BigQuery, while mentoring junior teammates in a fast-growing team.
Data Engineer Senior GCP (H/F)
Senior Data Engineer builds and maintains GCP-based ETL/ELT pipelines for retail pricing, transforms large datasets with SQL, and delivers Looker Studio dashboards to optimize dynamic pricing and promotions.
Senior Data Engineer - AI-Ready Data Architectures (Remote)
Designs and builds AI-ready data pipelines and architectures for client projects using Python, SQL, dbt, Airflow, and BigQuery/Snowflake/Databricks in a CI/CD environment.
Senior Cloud Data Engineer - Azure & GCP
Design and lead modern, scalable data platforms on Azure and GCP, build robust pipelines with Spark/Databricks/Dataflow, and mentor teams while optimizing costs and governance.
Stage Data Engineer: BigQuery & Looker Studio
Builds a data pipeline from Shopify and Lightspeed into BigQuery and creates dashboards in Looker Studio for a fast-growing Japanese-fusion restaurant-tech startup.
Data Engineer Python – Remote 3J/Semaine
Build and maintain data pipelines for digital analytics, transforming raw data into KPIs and reports using Python, BigQuery, and visualization tools.
Data Engineer Senior – Cloud Data & DataOps sur GCP
Design and build scalable cloud data pipelines and architectures on GCP to support clients' digital transformations using BigQuery, Dataflow, and Python.
Data Engineer Spark / Scala - H/F
Build and optimize modern data pipelines and platforms using Spark and Scala for enterprise clients, focusing on scalable ETL, data quality, and cloud-based analytics.
Data Engineer GCP - (F/X/H)
Design and build scalable, cloud-native data pipelines on Google Cloud Platform using BigQuery, Python, and backend services to support analytics, AI, and business applications.
Tech Lead Data Engineer / Cloud Architecte
Leads the design and rollout of a secure, governed data and AI platform for a major media/public-sector client, integrating GCP/AWS, Kubernetes, Kafka, and Collibra with strict data-security and DevOps practices.
Senior Data Engineer (F/H) - Rennes
Build robust data pipelines and cloud-native platforms using Python, SQL, dbt, Airflow, BigQuery, Snowflake, and Databricks, while integrating AI/ML workflows and RAG systems.
Senior Data Engineer (F/H) - Nantes
Designs and builds cloud-native data pipelines and platforms using Python, SQL, dbt, Airflow, and GCP, integrating AI/ML workflows and real-time analytics.
Consultant.e Data Engineer AWS H/F
Build and optimize data pipelines on AWS for clients, focusing on automation, Spark, and CI/CD to enable scalable analytics and business insights.
Analytics Engineer: Build Robust Data Pipelines
Build and maintain robust data pipelines using SQL, dbt, and cloud data warehouses like Snowflake or BigQuery to make business data accessible and reliable.
Analytics Engineer — Data Modeling & Pipelines
Build and maintain robust data models and pipelines using SQL, dbt, and cloud warehouses (Snowflake/BigQuery/Databricks) to power business decisions.
Data Engineer Cloud – Confirmé (H/F)
Build and maintain cloud-based data pipelines and modern data platforms for enterprise clients, focusing on Azure Data Factory, Python, and SQL to ensure reliable, high-quality data flows and analytics.