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Build and deploy ML models (recommendation, fraud) and explore LLM use-cases to improve cultural-offer discoverability for millions of young users.
Builds and maintains BI dashboards and reports using SQL and tools like Qlik or SAP BO, trains users, and performs functional testing for a media publisher.
Build and maintain a modern data platform for a media company using ElasticSearch/OpenSearch and Apache Iceberg on Kubernetes, with Ansible for automation.
Senior Data Engineer builds end-to-end data pipelines, modern data stacks, and analytics-ready warehouses for clients using SQL, Python, Airflow, dbt, and cloud DWHs like BigQuery or Snowflake.
Designs and operates scalable data platforms in Python and AWS to power real-time AI pipelines that enhance user experiences for a media-focused company.
Build and maintain real-time data pipelines processing 80M documents daily using Go, Python, and SQL in a microservices architecture.
Build and maintain scalable data pipelines and infrastructure for a media company using Python, Spark, BigQuery, and GCP.
Builds and maintains BI reports and dashboards (Qlik, SAP BO) and ETL pipelines (Talend) for a French media group, translating business needs into SQL-based analytics and visualizations.
Builds and maintains backend services and AI pipelines for conversational agents using Python/Go, integrating LLM APIs (Gemini/Vertex) and social data sources to power Ipsos Synthesio’s social intelligence platform.
Build and maintain data pipelines for a media company using Python and PySpark, with autonomy and mentorship.
Senior Data Engineer builds end-to-end data pipelines, modern data warehouses, and BI solutions for clients in marketing, CRM, and e-commerce using cloud DWHs, dbt, Airflow, and SQL.
Build and maintain cloud-based data pipelines and warehouses (BigQuery, Vertica) to power real-time analytics and ML for a large-scale internet search platform using Spark, Kafka, and AWS.
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.
Build and maintain robust data pipelines on AWS to centralize and process terabytes of media audience, adserver, CRM, and radio data, using Python, PySpark, and SQL to deliver actionable insights and KPIs for advertising, streaming, and CRM teams.
Designs and maintains cloud data pipelines and analytics platforms for clients in luxury, retail, healthcare, and media, ensuring robust orchestration, security, and observability.
Lead the design and optimization of cloud-based analytics pipelines and data models for a global video platform, using GCP, Airflow, and BigQuery.
Build and maintain data pipelines in Python/PySpark and SQL, working with Hive/Hadoop/Cloudera and Snowflake/BigQuery to support a media-sector client’s data platform.
Build and maintain BigQuery data lakes, design SQL models, and orchestrate pipelines with Airflow to ensure high-quality media analytics.
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.
Build and maintain scalable data pipelines on Databricks, integrating diverse sources and industrializing ML models for enterprise clients.
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