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Data Engineer - CDI - Paris
Build and maintain ETL/ELT pipelines, ensure data reliability, and automate data ingestion from SFTP/APIs/databases into a Datalake using Python, Airflow, AWS, and BigQuery.
Data Engineer (H/F)
Build and maintain robust data pipelines and ETL workflows for a public-sector client using Talend/Informatica, Airflow, and modern data platforms like Trino and Iceberg.
Data Engineer GCP Freelance
Build, optimize, and harden GCP-based data pipelines for a large food-sector group, using BigQuery, Airflow, DBT, and Cloud Storage while enforcing data quality and agile practices.
Data Engineer GCP & Big Data
Build and maintain robust data pipelines on Google Cloud for analytics and AI clients, using BigQuery, Dataflow, Pub/Sub, and Airflow to process batch and streaming data at scale.
Data Engineer Snowflake H/F - Data Architecture & Pipelining
Build and optimize Snowflake-based data pipelines and warehouses, migrating legacy systems to modern cloud platforms while ensuring performance, scalability, and cost efficiency.
Data Engineer Snowflake H/F - Data Architecture & Pipelining
Design and build scalable Snowflake-based ELT pipelines, optimize SQL workloads, and model data warehouses for modern data platforms.
Senior Data Engineer, AI Platform & IMINT Pipelines
Builds and maintains scalable data pipelines for an AI platform that processes satellite imagery, using Python, Airflow, PostgreSQL/PostGIS, and AWS.
Senior Data Engineer — Data Platform & Lakehouse (Remote)
Senior Data Engineer building and maintaining a modern Lakehouse data platform using Databricks, Airflow, and PySpark pipelines with a focus on data governance and lineage.
Analytics Engineer: Data Pipelines & BI (Hybrid)
Build and optimize data pipelines (ETL/ELT) and BI models using dbt, Dataform, and Airflow to deliver clean, traceable data for analytics and decision-making.
Data Engineer: Build Reliable Pipelines & Insightful BI
Build and maintain ETL/ELT pipelines, ensure data reliability, and create BI dashboards using Python, SQL, and tools like BigQuery and Airflow.
Data Engineer (H/F)
Builds and maintains scalable data pipelines, integrates diverse data sources, and ensures data quality and security for analytics and ML workflows using Python, SQL, Spark, and cloud tools.
Data Engineer (H/F)
Build and maintain Obat’s data pipelines and warehouse (BigQuery, Airflow, dbt) to power AI scoring and operational workflows for SaaS customers in the construction industry.
Data engineer F/H
Build and maintain scalable data pipelines and platforms using Python, Databricks, Spark, Airflow, and GCP to power AI-driven retail analytics and decision-making.
Data Engineer, Measurement & Reporting
Build and maintain the data pipelines that power streaming-TV ad campaign reporting, ensuring accuracy and enabling new product features in a fast-growing AdTech startup.
Data Engineer, Measurement & Reporting
Build and maintain the data pipelines that power Vibe.co’s streaming-TV ad reporting, ensuring accurate, real-time campaign metrics for advertisers.
Consultant.e Data engineer confirmé.e
Build and maintain robust data pipelines, ensuring quality and integrity, while collaborating with clients to optimize their data infrastructure using tools like Spark, Kafka, and cloud services.
Data Engineer (Energy Markets)
Build and maintain the global data platform that powers Octopus Energy’s energy trading, forecasting, and risk operations using Python, SQL, Kubernetes, and AWS.
Data Engineer F/H
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.
Data Engineer Cloud Senior
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.
Consultant.e Data engineer Senior
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.