22 set - Milano
MDOTM
We are looking for a Data Engineer to play a key role in shaping and scaling our platform as the organization grows in complexity and data maturity.La preghiamo di leggere attentamente la seguente descrizione del lavoro per assicurarsi di essere la persona giusta per questo ruolo prima di candidarsi.In this role, you will be responsible for designing and evolving the core data infrastructure that powers analytics, machine learning, and critical business decisions. You will take ownership of how data flows across the company, from ingestion to consumption, ensuring it is reliable, well-modeled, and accessible to a wide range of stakeholders.Key ResponsibilitiesDesign, build, and maintain production-grade data pipelines and data-intensive systemsConfigure, schedule, and monitor data pipeline execution to ensure reliability, maintainability, and timely delivery across all data processesDeploy and manage data infrastructure on AWS or on-premises, ensuring scalability, security, and cost-efficiencyMonitor and optimize relational and NoSQL database performance (e.G., MySQL, PostgreSQL, MongoDB) to ensure efficient querying, indexing, and data access at scaleEnsure reliable ingestion, transformation, and availability of large-scale and time-series financial data, considering financial-specific data quality characteristics.Implement and maintain data quality, validation,
and monitoring mechanisms across data workflowsDefine and evolve data models and storage structures across relational and NoSQL systemsCollaborate with Data Scientists and Analysts to ensure accurate and efficient data access for analytics and modeling use casesOptimize data processing workflows for performance, reliability, and operational stabilityTroubleshoot complex data issues and drive root cause analysis.Contribute to technical decision-making and help define the roadmap for data infrastructure.RequirementsDegree in Computer Science, Engineering, or a related field.Strong programming skills in Java or Python (or other JVM-based languages)Strong understanding of data modeling, SQL, and NoSQL databasesStrong focus on data quality, validation, and monitoring practicesExperience working with large-scale and time-series datasets in financial contexts, with an understanding of their structure and common data quality challengesExperience building and maintaining production data pipelines or data-intensive systems, with focus on reliability and performanceAbility to troubleshoot and optimize production data systemsExperience with workflow orchestration and data pipeline scheduling toolsSolid understanding of financial data structures and concepts, with the ability to model and validate financial data accuratelyStrong problem-solving skills and attention to detail.Professional proficiency in English.Premio PointsExperience with monitoring and visualization tools (e.G., dashboards)Exposure to machine learning workflows and related data requirementsMDOTM Ltd (FRN: 824056) is an appointed representative of Thornbridge Investment Management LLP (FRN: 713859) which is authorised and regulated by the Financial Conduct Authority. xysqume #J-18808-LjbffrPer questa posizione sono disponibili opzioni di lavoro da remoto/a casa.
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