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Data Engineer Cloud Confirmé / Senior (F/H)
Build and optimize cloud-based data pipelines for clients in finance, healthcare, logistics, mobility, and climate sectors using Spark, Kafka, and cloud platforms like Azure/GCP.
Data Engineer - Practice Cloud Transformation chez MARGO
Build and deploy data pipelines and cloud infrastructure on AWS for an energy-sector client, enabling trading, analytics, and sustainability use cases with PySpark, Databricks, and Python.
Data Engineer Databricks confirmé - H/F - CDI
Build and optimize end-to-end data pipelines on Databricks and Spark, integrating real-time and batch data for analytics and AI use cases.
Consultant Data Engineer Databricks - Confirmé - H/F
Consultant builds and optimizes data pipelines on Databricks for clients, designing scalable Spark-based solutions and advising on architecture improvements.
Tech Lead Data Engineer H/F
Lead a team to design, build, and maintain robust data pipelines and architectures for enterprise clients, using SQL, Python/Java/Scala, Kafka, and cloud/big-data stacks.
Data Engineer - PySpark & Scala (Freelance) Nantes
Build and optimize data pipelines using PySpark and Scala to process large datasets for analytics and reporting.
Data Engineer Confirmé Databricks - F/H
Build and maintain scalable ETL/ELT pipelines on Databricks (Spark SQL, PySpark, Scala) to feed reliable, high-performance data for analytics and decision-making.
Lead Data Engineer – Databricks & Azure (Finance)
Lead a team migrating legacy data systems to a modern Databricks/Azure platform, building scalable batch and streaming pipelines, and deploying BI, ML, and GenAI use cases for a large financial client.
Data Engineer Senior Scala / Spark / Databricks
Senior Data Engineer builds and optimizes large-scale data pipelines using Scala, Spark, and Databricks, then delivers BI reports in Power BI for a French enterprise data factory.
Data Engineer AWS – Data Platform / IA (H/F)
Build and maintain AWS-based data pipelines and lakehouse architecture for a large bank’s AI and ESG initiatives, using PySpark, Java, and CI/CD.
Alternance – Data Engineer – Services Financiers – Data factory -Nantes
Alternant Data Engineer in Sopra Steria’s Data Factory, building and optimizing Big Data pipelines for financial clients using Spark, Python, SQL, and cloud tools like Databricks and Snowflake.
Tech Lead Data Engineer H/F
Leads data engineering squads building scalable data pipelines and ML-ready architectures for enterprise clients using Spark, Kafka, and cloud platforms like Azure Databricks and AWS.
Data Engineer Confirmé – BI/Big Data & Analytics
Build and maintain BI/Big Data pipelines: ETL with Talend/Informatica, Spark processing, and Python/Scala analytics to deliver reports and dashboards for business insights.
Junior Data Engineer – Spark, Scala & GCP
Build and maintain modern data pipelines using Spark and Scala on GCP to modernize legacy data platforms.
Azure Data Engineer — FinOps Dashboards & DataLake
Designs and builds Azure-based data pipelines and FinOps dashboards using Spark and Scala to track expenses and ensure data quality for AXA’s finance teams.
Data Engineer – H/F CDI - Paris
Build and maintain data pipelines, clean and model customer data, and deploy BigData solutions on AWS/Azure for a product-focused team.
Data Engineer Databricks — Confirmé (Hybrid, Lyon)
Build and optimize ETL/ELT pipelines on Databricks using Spark SQL, PySpark, and Scala, and set up a Lakehouse with Delta Lake for reliable, secure data delivery.
Data Engineer Spark Confirmé (H/F)
Build real-time customer 360 data pipelines and modernize a big-data stack (Spark, Kafka, Hadoop Cloudera) for a major bank’s marketing analytics and digital products.
Data Engineer F/H migration Databricks
Migrate and automate data pipelines from Cloudera Hadoop to Databricks, using Python (PySpark), SQL, Airflow, and Azure DevOps for CI/CD.
Data Engineer Spark / Scala - H/F
Build and optimize modern data pipelines and platforms using Spark and Scala for enterprise clients, focusing on scalable ETL, data quality, and cloud-based analytics.