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AWS Data Engineer
Build and optimize AWS-based data pipelines using Glue, Lambda, Step Functions, and PySpark to feed reliable datasets to analysts, scientists, and business teams.
Data Engineer Databricks
Build and maintain scalable data pipelines on Microsoft Azure and Databricks using PySpark, SQL, and CI/CD, while collaborating with cross-functional teams to deliver end-to-end data solutions.
Cloud Data Engineer: Azure Pipelines & Platforms
Designs and maintains secure, high-quality data pipelines using Python, SQL, and Azure Data Factory for enterprise clients.
Data Engineer - Azure Databricks & Pipelines
Design and deploy large-scale data pipelines on Azure Databricks using PySpark, evolving the data architecture for a major ESN client.
Cloud Data Engineer
Designs, builds, and optimizes cloud data pipelines using Azure Data Factory, AWS Glue, or GCP Dataflow with Python, Spark, and SQL.
Data Engineer Snowflake
Design and build Snowflake-based data warehouses and ETL pipelines for enterprise clients, using SQL and cloud tools to deliver clean, scalable data solutions.
Consultant Data Engineer
Build and maintain scalable data pipelines using Python, SQL, Spark, and cloud services (Azure/AWS/GCP) to deliver clean, reliable datasets for analytics and AI teams.
Data Engineer
Build and own a scalable Azure-based data lake and analytics platform, from ETL pipelines to embedded BI and future ML/GenAI exploration for industrial clients.
Data Engineer Cloud — Pipelines & Data Platforms
Designs and maintains cloud-based data pipelines and platforms using Python, SQL, and Azure Data Factory for a data-consulting firm.
Ingénieur DevOps Cloud Azure Châtillon · Hybride
Build and maintain Azure cloud infrastructure using IaC (ARM/YAML), CI/CD pipelines (Git/Azure DevOps), and Kubernetes (AKS) while ensuring security and high availability for a managed-services client.
Ingénieur DevOps Cloud Azure
Build and maintain Azure cloud infrastructure using ARM, YAML, and CI/CD pipelines; secure and monitor cloud services; collaborate with Agile teams on data platforms.
Python software developer - Permanent - Madrid
Build and maintain data-processing pipelines in Python and Databricks on Azure, collaborating with cross-functional teams to deliver scalable data solutions.
Fullstack Developer, Data Integration – Node.js, React, Python
Build and maintain fullstack web apps with Node.js and React, integrate systems and data flows, and automate processes using Python and Azure tools.
Java Developer — API/Cloud, Kafka & Kubernetes
Build and maintain Java-based APIs and cloud services using Kubernetes, Kafka, and Apigee, while ensuring robust testing and monitoring.
DevOps Engineer – Pipelines, Release Engineering
Build and maintain CI/CD pipelines in Azure DevOps for .NET APIs, microservices, and data workloads, including database migrations and hybrid deployments.
Azure Data Platform Engineer (m/w/d)
You design, deploy, and maintain on-prem and Azure-based database systems (PostgreSQL, MS SQL, Oracle) to keep them stable, fast, and cloud-ready.
Data Engineer Machine Learning
Administers and migrates databases (PostgreSQL, MS SQL, Oracle) to Azure, using Azure Data Services and Azure Data Factory.
Data Engineer IT
Maintains and migrates on-prem and Azure databases (PostgreSQL, MS SQL, Oracle) and builds Azure Data Factory pipelines.
Data Engineer, Machine Learning & Data
Maintains and migrates databases (PostgreSQL, MS SQL, Oracle) on-prem and in Azure, and builds ETL pipelines with Azure Data Factory.
Senior Data Engineer (m/w/d)
Build and maintain ETL/ELT pipelines and a modern data platform using Airflow, dbt, and Synapse to move data from SAP/Salesforce into BI and applications.