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DATA ENGINEER
Build and maintain robust data pipelines and cloud architectures (Azure/AWS/GCP) to enable analytics and AI use cases for enterprise clients, using Python, SQL, Spark, and tools like dbt and Airflow.
Data Engineer IoT
Build IoT data pipelines: design real-time data architectures, implement MQTT/Kafka brokers, optimize time-series storage, and create monitoring dashboards.
Data Engineer Senior
Build and optimize scalable data platforms, develop robust ETL/ELT pipelines, and mentor junior engineers using Python, SQL, Spark, and cloud tools like AWS/Azure/GCP.
Data Engineer expérimenté.e
Build and deploy modern data architectures (Snowflake + dbt) and ETL/ELT pipelines in Python/SQL, while mentoring peers and optimizing cloud costs for clients across France.
Data Engineer
Build and maintain scalable data pipelines and warehouses for analytics, using cloud tools like AWS and Snowflake, orchestration platforms such as Airflow, and data modeling best practices.
Data Engineer
Build and maintain robust data pipelines (ETL/ELT) on cloud platforms, ensuring data quality, security, and governance while collaborating with data scientists and analysts.
Data Engineer
Build and maintain cloud data pipelines, ETL/ELT workflows, and analytics models in GCP/BigQuery to power programmatic advertising and DOOH campaigns.
Data Engineer
Build and optimize scalable data pipelines on Databricks and cloud platforms, transforming raw data into automated, production-ready analytics and AI infrastructure using Python, Spark, and IaC.
Data Engineer
Build and scale cloud data pipelines for clients using Azure, AWS, or GCP, ingesting and transforming data with Spark, Airflow, and Kafka to make it analytics-ready.
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.
Data Engineer
Designs and maintains scalable data pipelines and infrastructure using Python, SQL, Spark, and cloud platforms to enable analytics and AI workloads.
Data Engineer
Design and build scalable data pipelines, ETL/ELT workflows, and cloud data architectures for clients, ensuring data quality and security while enabling real-time analytics and digital transformation.
Data Engineer
Build and maintain scalable data pipelines in BigQuery and dbt, transforming raw retail-media data into clean, reusable layers for analytics and AI teams across Europe.
Data Engineer
Leads the day-to-day operations of a company’s data platforms, ensuring reliability and performance of BI, Big Data, and data-warehouse systems for finance-focused clients.
Data Engineer — Pipelines & Big Data, Remote
Designs and optimizes robust data pipelines and ETL/ELT workflows in cloud environments (Azure) to feed downstream analytics and data science teams.
Senior Databricks Data Engineer | Data Pipelines & Insights
Senior Data Engineer to build and optimize Databricks-based data pipelines, migrate data workloads, and ensure quality for a client’s data architecture.
Data Engineer — Pipelines Data & IA sur Cloud
Build and maintain ETL/ELT pipelines and a robust data warehouse to feed analytics and AI models using Python, SQL, and cloud data tools.
Databricks Data Engineer: Cloud Pipelines & Data Quality
Design and deploy high-performance data pipelines on Databricks in Azure or AWS, focusing on ETL/ELT optimization and data modeling.
Data Engineer — Build Scalable Gaming Data Pipelines
Build and optimize ETL/ELT data pipelines for Ubisoft’s gaming platforms using SQL and Python, ensuring data quality and production deployments.