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Sr. Database Architect
Design and optimize OLTP databases and scalable data pipelines to support analytics and ML, using SQL, Python, and AWS tools like Snowflake and Glue.
Data Engineer (H/F)
Build and maintain cloud-based data pipelines and platforms for clients using Snowflake, Databricks, and cloud-native tools, while collaborating with data scientists to industrialize their models.
Lead Data Engineer
Lead a small team of Data Engineers to design and build scalable cloud-based data pipelines and warehouses using AWS (Redshift, Lambda, Kinesis) to support analytics, ML, and real-time reporting for a global airport technology platform.
Data Engineer
Design and build secure, scalable data pipelines and platforms for the British Army’s training systems using AWS, Azure, and OpenShift, ensuring compliance and integration across legacy and modern systems.
Senior Data Engineer ID71670
Senior Data Engineer builds and scales modern data pipelines, optimizes Snowflake schemas, and implements DataOps practices using Python, Airflow/Prefect/Dagster, and CI/CD.
Data Engineer Senior (H/F)
Build and scale high-volume data pipelines for an industrial IoT platform on AWS, using Spark/Flink, Kinesis, Databricks, and FastAPI to deliver real-time and batch analytics.
Contract DevOps Engineer
Contract DevOps Engineer maintains AWS infrastructure, Kubernetes clusters, and CI/CD pipelines using Terraform and observability tools to keep Campspot’s cloud platforms reliable and secure.
Senior Java Developer, Campinas, Brazil (Hybrid)
Build and maintain Java/Spring Boot REST APIs and AWS-based data pipelines for a U.S. investment client, handling CDC, real-time streams, and regulatory compliance.
Senior Java Developer, Campinas, Brazil (Hybrid)
Build and maintain Java/Spring Boot REST APIs and AWS-based data pipelines for a major investment client, handling CDC, real-time streams, and regulatory compliance.
Senior Data Engineer — AI-Driven Health Data in AWS
Senior Data Engineer builds and optimizes AWS-based pipelines for healthcare data, migrating from batch ETL to event-driven streaming with FHIR, Glue/Spark, Redshift, and Kinesis.
Data Engineer Sr
Senior Data Engineer building and optimizing scalable data models, pipelines, and cloud-based analytics solutions in AWS to support business decision-making and product growth.
Senior Data Engineer ID71670
Senior Data Engineer builds and scales modern data pipelines, optimizes Snowflake warehouses, and implements DataOps practices using Python, Airflow/Prefect/Dagster, and CI/CD.
Sr. Data Engineer
Build and maintain scalable data pipelines and models in Databricks to power analytics and ML, using Python, SQL, and Spark while mentoring peers.
Consultant Data Engineer Cloud GCP - Confirmé - H/F - CDI
You design, build, and optimize cloud data pipelines on Google Cloud Platform for enterprise clients, using Scala, Python, and SQL to ingest, transform, and prepare data for analytics and AI workloads.
Consultant Data Engineer Cloud GCP - Confirmé - H/F - CDI
Build and optimize cloud data pipelines on GCP for enterprise clients, designing scalable architectures, auditing existing systems, and implementing data ingestion/transformation solutions using Python, Scala, and SQL.
Cloud Automation & Data Engineer — Remote (2 days/wk) & AWS
Design and automate secure, scalable AWS cloud and data platforms using Terraform, CI/CD, and serverless tools; build data pipelines and enforce governance for a large industrial client.
Senior Data Engineer - IoT & Real-Time on AWS
Design and maintain high-volume IoT data pipelines on AWS, combining real-time and batch processing with Spark/Flink, and expose analytics-ready APIs in Python.
Lead Data Engineer (H/F) (IT) / Freelance
Lead Data Engineer builds and runs a global cloud-native data platform (Databricks lakehouse, AWS) for a B2C energy company, owning architecture, pipelines, and DataOps while integrating AI tools to accelerate delivery.
Lead Data Engineer Lille (F/H)
Lead a team of data engineers to build scalable data pipelines and cloud infrastructure (AWS/GCP/Azure) using Spark, Kafka, and Terraform, while collaborating with data scientists to industrialize models.
Data Engineer confirmé (H/F)
Build and maintain data pipelines, cloud infrastructure, and support data scientists in industrializing their models using technologies like Spark, Kafka, and Snowflake.