Overview You will build and operate data pipelines supporting reports, analytics, and machine learning, ensuring quality and forward viability. You’ll raise the bar for development and deployment standards while optimizing performance and scalability. You’ll safeguard data quality, monitor infrastructure, and implement security and privacy controls. You’ll collaborate in cross-functional, agile teams to translate data needs into reliable solutions that drive decision making and product value.

ResponsabilidadesDevelop and operate data pipelines for reports, analytics,



and ML with quality and future viabilityApply software development practices to set new standards for development and deploymentOptimize performance and scalability of data engineering solutionsEnsure data quality and consistency via validation and cleansingMonitor and troubleshoot data infrastructure to minimize downtimeImplement data security and privacy measuresCollaborate in interdisciplinary agile teams with data scientists, data engineers, product owners and other departments Requisitos principalesCompleted degree in computer scienceStrong interest in data engineering and software developmentExperience in cloud, containerization and big data; ideally MS Azure, Kubernetes and SparkExperience with SQLExperience developing data pipelines (batch and streaming)Proficiency in at least one programming language (Python, Scala, Java)Knowledge of software development lifecycle and best practices (CI/CD, DevOps, testing)Analytical, agile mindset, independent and hands-onanalytical thinkingagile mindsetindependenceMS AzureKubernetesSpark

📌 Data & AI Software Engineer (m/f/d) - barcelona
🏢 Jobrapido
📍 Barcelona