ph3About MDOTM /h3pMDOTM is the Global leader in AI-driven investment solutions. Founded in 2015, we earned significant recognition in 2017 as the only European fintech startup selected by Google for its acceleration program in Silicon Valley. /ppSince then, we have been growing continuously, establishing a strong international presence with offices in London, Milan and New York /ppIf you are looking for a fast-paced environment and you are willing to take ownership, this is the right opportunity for you! Join us! /ph3Role Overview /h3pWe 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. /ppIn 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. /ph3Key Responsibilities /h3ulliDesign, build, and maintain production-grade data pipelines and data-intensive systems /liliConfigure, schedule, and monitor data pipeline execution to ensure reliability, maintainability, and timely delivery across all data processes /liliDeploy and manage data infrastructure on AWS or on-premises, ensuring scalability, security, and cost-efficiency /liliMonitor and optimize relational and NoSQL database performance (e.g., MySQL, PostgreSQL, MongoDB) to ensure efficient querying, indexing,



and data access at scale /liliEnsure reliable ingestion, transformation, and availability of large-scale and time-series financial data, considering financial-specific data quality characteristics. /liliImplement and maintain data quality, validation, and monitoring mechanisms across data workflows /liliDefine and evolve data models and storage structures across relational and NoSQL systems /liliCollaborate with Data Scientists and Analysts to ensure accurate and efficient data access for analytics and modeling use cases /liliOptimize data processing workflows for performance, reliability, and operational stability /liliTroubleshoot complex data issues and drive root cause analysis. /liliContribute to technical decision-making and help define the roadmap for data infrastructure. /li /ulh3Required Skills Qualifications (Must-Haves) /h3ulliDegree in Computer Science, Engineering, or a related field. /liliStrong programming skills in Java or Python (or other JVM-based languages) /liliStrong understanding of data modeling, SQL, and NoSQL databases /liliStrong focus on data quality, validation, and monitoring practices /liliExperience working with large-scale and time-series datasets in financial contexts,



with an understanding of their structure and common data quality challenges /liliExperience building and maintaining production data pipelines or data-intensive systems, with focus on reliability and performance /liliAbility to troubleshoot and optimize production data systems /liliExperience with workflow orchestration and data pipeline scheduling tools /liliSolid understanding of financial data structures and concepts, with the ability to model and validate financial data accurately /liliStrong problem-solving skills and attention to detail. /liliProfessional proficiency in English. /li /ulh3Nice to Have (Premio Skills) /h3ulliExperience with monitoring and visualization tools (e.g., dashboards) /liliExposure to machine learning workflows and related data requirements /li /ulh3Why Join Us? /h3ulliWork at the leading edge of technology, leveraging our decade of experience in proprietary AI to build the next generation of industry-defining tools. /liliCompetitive salary truly flexible work environment /liliBenefit from an unlimited learning and development budget to stay at the bleeding edge of AI research, alongside a fast-track path into technical leadership or principal research roles /liliCollaborate daily with an ultra-international team (18+ nationalities) spread across our offices in Milan, London and New York /liliAnnual company retreat at a stunning location /liliFast-track career progression, with opportunities to grow into leadership roles /li /ul /p #J-18808-Ljbffr

📌 Data Engineer (Milano)
🏢 Mdotm
📍 Milano