Data Engineer (Milan Office, Remote)

ppWe are looking for a bData Engineer /b to play a key role in shaping and scaling our platform as the organization grows in complexity and data maturity. /p pIn this role, you will be responsible for bdesigning and evolving /b the core data infrastructure that powers analytics, machine learning, and critical business decisions. You will take bownership /b 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. /p h3bKey Responsibilities /b /h3 ul liDesign, build, and maintain production-grade bdata pipelines /b and data-intensive systems /li liConfigure, schedule, and monitor data pipeline execution to ensure breliability /b, bmaintainability /b, and btimely /b delivery across all data processes /li liDeploy and manage bdata infrastructure on AWS or on-premises /b, ensuring scalability, security, and cost-efficiency /li liMonitor and optimize brelational and NoSQL database /b performance (e.g., MySQL, PostgreSQL, MongoDB) to ensure efficient querying, indexing, and data access at scale /li liEnsure reliable ingestion, transformation, and availability of large-scale and time-series bfinancial data /b, considering financial-specific data quality characteristics. /li liImplement and maintain bdata quality, validation, and monitoring /b mechanisms across data workflows /li liDefine and evolve bdata models /b and storage structures across relational and NoSQL systems /li liCollaborate with bData Scientists and Analysts /b to ensure accurate and efficient data access for analytics and modeling use cases /li liOptimize bdata processing workflows /b for performance, reliability, and operational stability /li libTroubleshoot /b complex data issues and drive root cause analysis. /li liContribute to btechnical decision-making /b and help define the roadmap for data infrastructure. /li /ul h3bRequirements /b /h3 ul liDegree in Computer Science, Engineering, or a related field. /li liStrong programming skills in bJava or Python (or other JVM-based languages) /b /li liStrong understanding of bdata modeling, SQL, and NoSQL databases /b /li liStrong focus on data quality, validation, and monitoring practices /li liExperience working withb large-scale and time-series datasets in financial contexts /b, with an understanding of their structure and common data quality challenges /li liExperience bbuilding and maintaining production data pipelines or data-intensive systems, /b with focus on reliability and performance /li liAbility to troubleshoot and optimize production data systems /li liExperience with bworkflow orchestration and data pipeline scheduling tools /b /li liSolid understanding of financial data structures and concepts, with the ability to model and validate financial data accurately /liliStrongb problem-solving skills and attention to detail /b. /li liProfessional bproficiency in English. /b /li /ul h3bBonus Points /b /h3 ul liExperience with monitoring and visualization tools (e.g., dashboards) /li liExposure to machine learning workflows and related data requirements /li /ul pMDOTM Ltd (FRN: ) is an appointed representative of Thornbridge Investment Management LLP (FRN: ) which is authorised and regulated by the Financial Conduct Authority. /p /p #J-18808-Ljbffr