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Data Engineer Modern Data Stack F/H
Build and maintain cloud-based data pipelines in Python and SQL, design modern data platforms (Data Lake, Warehouse), and ensure data quality and observability for analytics and AI projects.
Senior Data Engineer - Data Platform & AI (Paris, Hybrid)
Build and optimize scalable data pipelines and lakehouse infrastructure (Spark, Databricks, Snowflake) for a SaaS data-management platform, and help kick-start early AI use cases.
Data Engineer DBT (H/F)
Build and maintain dbt data models in Snowflake/BigQuery, design layered data architectures, and set up CI/CD pipelines for a 3-month freelance role.
Data Engineer GCP F/H
Build and optimize scalable cloud data pipelines on GCP, using BigQuery, Spark, and Dataflow to ingest, transform, and serve analytics for ML and business processes.
Data Engineer Modern Data Stack F/H
Build and maintain cloud-based data pipelines in Python/SQL, design modern data platforms (Azure/AWS/GCP), and ensure data quality and observability for analytics and AI projects.
Data Engineer DBT (H/F)
Build and maintain data pipelines using DBT and SQL in a cloud warehouse, ensuring reliable, tested models and CI/CD integration.
Data engineer F/H | LILLE
Build and maintain robust ETL pipelines, cloud data platforms, and databases to support analytics and AI teams using Python, Spark, and cloud services like AWS/Azure/GCP.
Senior Data Engineer (F/M)
Build and maintain scalable data pipelines and infrastructure for a healthcare-focused cloud platform, transforming raw data into actionable insights using Python, SQL, and cloud-native tools.
Data Engineer Confirmé (F/H)
Design and maintain high-performance data pipelines and cloud architectures using Python, SQL, Spark, Kafka, and cloud platforms (AWS/GCP/Azure) to deliver clean, secure data for analytics and AI teams.
Manager Data Engineer - Casablanca
Lead a team of Data Engineers to design and deliver cloud-native data platforms and AI solutions for global clients, using Python, Spark, Airflow, and major cloud platforms (GCP, AWS, Azure).
Data Engineer (H/F)
Build and maintain data pipelines and transformations for a SaaS platform serving automotive manufacturers and dealers, using dbt, Python, SQL, AWS S3/Redshift, and Parquet.
Data Engineer (H/F)
Build and maintain data pipelines and transformations for a mobility-focused platform, using AWS S3, dbt, and Redshift to feed analytics and business solutions.
Data Engineer F/H
Design and implement scalable cloud data pipelines and warehouses for clients using GCP/AWS/Azure, BigQuery, Spark, and DevOps practices.
Staff Data Engineer
Build and maintain scalable data pipelines and curated datasets in Snowflake using dbt, Airflow, and Terraform to power CRM analytics and insights for Zendesk’s support operations.
AWS Data Engineer
Build and optimize AWS-based data pipelines using Glue, Lambda, Step Functions, and PySpark to feed reliable datasets to analysts, scientists, and business teams.
Data Engineer
Build and maintain scalable data pipelines and infrastructure using Python, Spark, and Databricks to support analytics and ML workloads on AWS.
Lead Data Engineer
Lead a team to design and build scalable data pipelines and platforms for clients, advising on cloud and big-data tech while enforcing DevOps, FinOps, and governance best practices.
Data Engineer
Designs and maintains scalable AWS-based data pipelines for government intelligence programs, using ETL tools, Redshift, and Python to process large datasets securely.
Data Engineer
Build and optimize scalable data pipelines and lakehouse infrastructure (Spark, Databricks, Snowflake) for a SaaS data-management platform, with early AI use-case enablement.