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Data Engineer – Assurance: Pipelines, Governance & Impact
Build and maintain secure data pipelines for insurance projects using SQL, NoSQL, ETL/ELT tools, Spark/Hadoop, and streaming pipelines.
DATA Engineer Big Data
Senior Java Big Data consultant designs, builds, and optimizes large-scale data pipelines and Spark clusters for enterprise clients using Azure Cloud and on-prem systems.
Data Engineer Consultant: Cloud, Pipelines & Impact
Design and optimize cloud-based data pipelines using Python, GCP, and Hadoop for high-impact projects in an agile team.
Lead Data Engineer
Lead Data Engineer designs and scales Big Data pipelines and cloud infrastructures for clients, using Spark, Kafka, Kubernetes and DevOps practices to ensure high-performance, scalable data processing.
Data & AI Engineer — Scalable Data Pipelines & MLOps
Build and maintain scalable, secure data pipelines and MLOps workflows using Hadoop, Spark, Hive, Docker, Kubernetes, and Dataiku for client projects.
Data Engineer
Build and maintain large-scale data pipelines for energy storage systems, enabling predictive models and optimizing battery operations in a fast-growing cleantech company.
Data Engineer
Builds and optimizes scalable data pipelines for a Madrid-based bank, using Spark, Scala, Python, Airflow, and cloud migration from Hadoop.
Data Engineer
Leads the day-to-day operations of a company’s data platforms, ensuring reliability and performance of BI, Big Data, and data-warehouse systems for finance-focused clients.
Data Engineer
Build and maintain scalable data pipelines using Python, Spark, and Databricks to support analytics and AI projects for clients across industries, with a focus on sustainability.
Data Engineer
Build and maintain Wizaly’s data pipelines and attribution algorithms using Scala/Spark and SQL, ensuring accurate, real-time marketing performance insights for clients.
Data Engineer – Hybrid (Big Data Pipelines & Cloud)
Builds and maintains big-data pipelines using Hadoop and Spark to process and govern data for a product-focused company.
Data Engineer – Pipelines Big Data & Cloud (Madrid)
Build and migrate data pipelines from Hadoop to cloud, automate workflows with Airflow, and process large datasets using Spark, Scala, and Python for a banking client.
Senior Data Engineer - Pipelines, Data Quality & Cloud
Design and maintain robust data pipelines, ensuring data quality and integrity while collaborating with clients to optimize cloud infrastructures using Hadoop, Spark, Kafka, and Airflow.
Data Engineer GCP
Designs, builds, and maintains big-data pipelines and Spark/Hadoop jobs for clients in finance, insurance, energy, and other sectors using Java, Scala, and Python.
Data Engineer Confirmé | Pipelines, Big Data & Cloud
Builds and maintains data pipelines using Python, SQL, Hadoop, Spark, and cloud platforms (AWS/GCP) for a tech-consulting firm.
AWS Data Engineer — Pipelines & Cloud Automation
Build and optimize AWS data pipelines for enterprise clients, focusing on automation, cloud-native tooling (Spark, Airflow, Terraform), and scalable data platforms to enable analytics and business insights.
Ingénieur Cloud & DevOps – Projet Data (H/F)
Builds and runs cloud-based data pipelines and analytics platforms using GCP/AWS, Spark, Python, and Terraform to support internal decision-making and high-traffic services.
Ingénieur(e) DevOps @eXalt Ouest
Designs, automates, and secures cloud-native infrastructures for clients, containerizing apps with Docker/Kubernetes and modernizing CI/CD pipelines.
Ingénieur DevOps @eXalt Lille
You’ll design and maintain CI/CD pipelines, containerize apps, and keep cloud infrastructure secure across AWS/GCP/Azure while monitoring performance.
Ingénieur DevOps (F/H)
Build and maintain CI/CD pipelines and BigData infrastructure (ELK, Hadoop) using Ansible, Jenkins, Kubernetes and Docker, while supporting production deployments and Agile rituals.