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Stage Data Engineer sur GCP (H/F)
Build and maintain big-data pipelines on Google Cloud Platform, using PySpark and BI tools, under senior guidance; aim for a GCP certification by the end of the 6-month internship.
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.
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.
Senior Data Engineer – Publishing (W/M/NB)
Senior Data Engineer building and optimizing data pipelines and warehouse models for Ubisoft’s Publishing domain, using SQL, Python, PySpark, Snowflake, and Databricks.
Data Engineer PySpark Expert – Finance | Télétravail 2j/sem
Build and maintain a PySpark-based data pipeline and DataLake for a finance company, including ingestion, CI/CD, and data structuring.
Data Engineer Databricks & DBT (H/F)
Builds and maintains scalable data pipelines using Databricks, dbt, PySpark and SQL to feed a modern data platform for analytics and reporting.
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 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 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.
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.
Aerospace Data Engineer — Palantir Foundry & PySpark
Designs and deploys robust data pipelines using Palantir Foundry, Python, PySpark and SQL to turn large aerospace datasets into actionable insights for clients.
Data Engineer Python/AWS (F/H)
Build and maintain distributed data pipelines and cloud services using Python, PySpark, and AWS (Glue, Lambda, ECS) to deliver reliable, high-performance data APIs and integrations.
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.