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Data engineer Spark / Scala F/H/X
Builds and maintains data pipelines using Spark and Scala to ensure reliable, high-performance data infrastructure for analytics and reporting.
Data Engineer Snowflake - Services Financiers – Lille
Build and maintain Snowflake-based data pipelines for banking clients, focusing on ingestion, transformation, and quality processes using Python, PySpark, and SQL.
Consultant Data Engineer Snowflake (H/F)
Build and maintain Snowflake-based data pipelines for banking clients, writing Python/PySpark ingestion jobs and enforcing data-quality practices while collaborating with cross-functional teams.
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.
Data Engineer DataIku - Services Financiers – Lille
Build and maintain data pipelines and flows in Dataiku DSS for banking clients, using Python, PySpark, SQL, and CI/CD tooling to ingest, clean, and deliver trusted data.
Data Engineer Snowflake - Services Financiers – Lille
Build and maintain Snowflake-based data pipelines for banking clients, ingesting and transforming data with Python/PySpark and CI/CD tooling.
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 Snowflakes - Services Financiers – Lille
Build and maintain data pipelines in Snowflake for banking clients, focusing on ingestion, transformation, and quality for credit, risk/compliance, and payments systems.
Data Engineer Microsoft AZURE Montreuil CDI
Designs and builds cloud-based data pipelines and analytics platforms on Microsoft Azure or GCP, using ETL tools, SQL, Python/Java/Scala, and data-lake architectures to deliver business insights.
Data Engineer GCP (H/F)
Build and maintain scalable ETL/ELT pipelines on Google Cloud Platform, optimize BigQuery warehouses, and automate data workflows with Python, SQL, and Terraform for real-time analytics and business insights.
Consultant Data Engineer / Big Data (F/H)
Design and build scalable big-data pipelines for clients, using Hadoop/Spark, cloud data services, and orchestration tools like Airflow to store, transform, and expose data.
Data Engineer H/F — Data & API Springboot
Build and maintain data pipelines and Spring Boot APIs using Teradata, PostgreSQL, Hive, and other tools for a client in Vannes.
Data Engineer - Rennes, France (H/F)
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.
Data Engineer – Semarchy xDi & Springboot
Builds and maintains data pipelines and APIs using Semarchy xDi, Spring Boot, and databases like Teradata and PostgreSQL.
Data Engineer Senior F/H
Senior Data Engineer designs, builds, and maintains scalable data pipelines and architectures for clients, using Spark, Python, Kafka, and Hadoop to ensure reliable data collection, storage, and processing.
Data Engineer - Data Factory - Services Financiers - Nantes
Build and maintain data platforms for financial clients, ingesting and processing data in batch/streaming pipelines using Spark, Kafka, and cloud tools to deliver analytics and insights.
Data Engineer - Data Factory - Services Financiers - Nantes
Build and maintain cloud-based data pipelines for financial clients, using Spark, Kafka, and Azure to ingest, transform, and expose data securely.
Lead Data Engineer - Spark/Scala
Lead a team building and optimizing large-scale data pipelines using Spark/Scala, Hadoop, Kafka, and related Big Data tools for enterprise clients.
Data Engineer H/F Nantes
Build and maintain real-time data pipelines and analytics platforms using Spark, Kafka, and Hadoop for a banking/finance client, deploying with DevOps tooling and agile practices.