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The ideal candidate will have strong working knowledge in Kubernetes and Container Orchestration, Configuration Management, CI/CD, Automation, AWS, Linux systems administration, Scripting in Bash and Programming in…
The ideal candidate will have strong working knowledge in Linux systems administration, and a background in Big Data solutions, configuration management, automation, scripting, containers, and AWS. The DevOps Engineer…
The Application Owner / Python Developer will manage the lifecycle of business-critical risk and control applications for a banking client, including development, maintenance, and stakeholder coordination. The role requires strong Python/Django expertise and experience with Linux, SQL, and web technologies in a hybrid work environment.
DevOps/Lakehouse expert managing on-premise Kubernetes-based data infrastructure, CI/CD pipelines with GitOps, and deploying Spark/Trino/Jupyter at Crédit Agricole's Group Infrastructure Platform.
Deploy and maintain Lakehouse services including Spark, Trino, and Jupyter on Kubernetes, manage GitOps pipelines, and ensure security and monitoring using Prometheus and Grafana for the Crédit Agricole Group Infrastructure Platform.
The Senior Data Engineer will design and maintain a scalable cloud data lakehouse and analytics platform, managing ETL/ELT pipelines and data modeling to support business intelligence and compliance. The role requires proficiency in Python, Java, or Scala, experience with big data tools like Spark and Kafka, and fluency in both English and Mandarin.
Application Owner / Python Developer owning and maintaining a banking-sector risk and control application using Python, Django, SQL, and web technologies in a hybrid Madrid role.
Builds and optimizes scalable big data platforms, focusing on distributed systems, real-time/batch pipelines, and metadata-driven tooling to accelerate data insights for analysts and scientists.
Architect and build production-grade LLM-powered data products (Text-to-SQL, dashboards, insights) for enterprise analytics at a large ecommerce company.
Inetum is seeking a Senior Data Engineer to design, develop, and optimize distributed data pipelines using Spark on Kubernetes. The role involves working within a DevOps environment, utilizing Java, Python, ELK, and Starburst/Trino to manage data workflows.
Inetum is seeking a Data Engineer to build and maintain data pipelines using Spark 3, Java, and Kubernetes. The role involves orchestrating workflows with Airflow and managing data via Trino within a banking environment.
Builds, optimizes, and maintains high-performance data pipelines using Java, Spark, and Kubernetes for a fintech data hub.
Builds and optimizes distributed data pipelines (batch/streaming) in Java/Spark for a fintech datahub, ensuring performance, reliability, and integration with cloud/Kubernetes environments.
Build and run a modern data-tech stack on Kubernetes, including a Lakehouse (Stackable) and event platform (Kafka), while automating deployments with GitOps and Ansible/Terraform.
Application Owner / Python Developer responsible for end-to-end ownership of a banking client's risk and control application, working hybrid in Madrid with Python/Django, SQL databases (Oracle/Trino), Celery/Redis, and web frontend technologies.
Senior Data SRE operating and improving Kubernetes-based data platforms (on-prem/AWS/GCP) using GitOps, observability tools, and supporting data workloads like Spark, Airflow, and ETL pipelines.
Design and build Java-based backend services and cloud infrastructure for Starburst's unified control plane, spanning multi-tenant SaaS and customer-operated deployments across AWS, Azure, and GCP.
Lead a team of data engineers to design, implement, and maintain scalable data pipelines and infrastructure for RBC’s asset management, focusing on BI, ML, and AI-driven decision-making.
The Application Owner / Python Developer will manage the lifecycle of business-critical risk and control applications for a banking client. The role involves designing and maintaining Python-based services using Django, SQL, and Linux environments while coordinating across teams.
The Data Platform Engineer will manage and develop the company's central Kubernetes, Lakehouse, and event platforms using technologies like Apache Spark, Kafka, and Terraform. The role focuses on automating infrastructure and supporting internal users within a large insurance group.
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