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Data Engineer

Mdotm · Milano, 20122, Italy · Active · BambooHR

Job facts

FieldValue
CompanyMdotm
TitleData Engineer
Normalized title-
Department / teamResearch and Development
LocationMilano
Work model-
Employment typeFull Time
Salary-
Statusactive
ATS providerBambooHR
Posted / first seen2026-04-29 / 2026-05-30
Changed / last seen2026-05-30 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Mdotm.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through BambooHR.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in Milano.Open
Department jobsActive postings in Research and Development.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyMdotm
Source8adbf926-fef1-44e3-b514-0365fa2b3e01
ATS providerBambooHR

Description

About MDOTM MDOTM 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 . Since then, we have been growing continuously, establishing a strong international presence with offices in London, Milan and New York If you are looking for a fast-paced environment and you are willing to take ownership, this is the right opportunity for you! Join us! Role Overview 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. 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 Responsibilities Design, build, and maintain production-grade data pipelines and data-intensive systems Configure, schedule, and monitor data pipeline execution to ensure reliability, maintainability, and timely delivery across all data processes Deploy and manage data infrastructure on AWS or on-premises, ensuring scalability, security, and cost-efficiency Monitor and optimize relational and NoSQL database performance (e.g., MySQL, PostgreSQL, MongoDB) to ensure efficient querying, indexing, and data access at scale Ensure 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 workflows Define and evolve data models and storage structures across relational and NoSQL systems Collaborate with Data Scientists and Analysts to ensure accurate and efficient data access for analytics and modeling use cases Optimize data processing workflows for performance, reliability, and operational stability Troubleshoot complex data issues and drive root cause analysis. Contribute to technical decision-making and help define the roadmap for data infrastructure. Required Skills & Qualifications (Must-Haves) Degree 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 databases Strong focus on data quality, validation, and monitoring practices Experience working with large-scale and time-series datasets in financial contexts, with an understanding of their structure and common data quality challenges Experience building and maintaining production data pipelines or data-intensive systems, with focus on reliability and performance Ability to troubleshoot and optimize production data systems Experience with workflow orchestration and data pipeline scheduling tools Solid understanding of financial data structures and concepts , with the ability to model and validate financial data accurately Strong problem-solving skills and attention to detail. Professional proficiency in English. Nice to Have (Bonus Skills) Experience with monitoring and visualization tools (e.g., dashboards) Exposure to machine learning workflows and related data requirements Why Join Us? Work at the leading edge of technology, leveraging our decade of experience in proprietary AI to build the next generation of industry-defining tools. Competitive salary & truly flexible work environment Benefit 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 Collaborate daily with an ultra-international team (18+ nationalities) spread across our offices in Milan, London and New York Annual company retreat at a stunning location Fast-track career progression , with opportunities to grow into leadership roles

Full job record

Job ID2b41b36d685d9eb8e8a9a1fecdd056fbdefdf95a
Org IDabb0053e-478a-4842-af75-95c783b12e54
Source ID8adbf926-fef1-44e3-b514-0365fa2b3e01
Board ID8adbf926-fef1-44e3-b514-0365fa2b3e01
Providerbamboohr
Provider Job Key66
TitleData Engineer
Normalized Title
Statusactive
Activeyes
Location TextMilano, 20122, Italy
DepartmentResearch and Development
Team
Employment Typefull_time
Workplace Type
Remote Policy
Country
Region
CityMilano
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://mdotm.bamboohr.com/careers/66
Apply URLhttps://mdotm.bamboohr.com/careers/66
First Seen At2026-05-30 05:57:06Z
Last Seen At2026-06-06 10:29:14Z
Last Checked At2026-06-06 10:29:14Z
Last Changed At2026-05-30 05:57:06Z
Inactive At
Source Posted At2026-04-29 00:00:00Z
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=bamboohr/board=mdotm/date=2026-06-06/2026-06-06T10-29-13-486Z-b0d53738941f4d489a838afa47d318ff9810d8e0bef5216c7efc5d3cfd709e4f.json
Event Fields
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    "description": "<p><span style=\"font-family: Arial, sans-serif; font-size: 12pt; font-weight: bold\">About MDOTM</span></p>\n<p><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">MDOTM 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 <span style=\"font-weight: bold\">Google for its acceleration program in Silicon Valley</span>.</span></p>\n<p><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Since then, we have been growing continuously, establishing a strong international presence with offices in <span style=\"font-weight: bold\">London, Milan</span> and <span style=\"font-weight: bold\">New York</span></span></p>\n<p><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">If you are looking for a fast-paced environment and you are willing to take ownership, this is the right opportunity for you! Join us!</span></p>\n<p><br><br></p>\n<p><span style=\"font-family: Arial, sans-serif; font-size: 12pt; font-weight: bold\">Role Overview</span></p>\n<p><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">We are looking for a </span><span style=\"font-family: Arial, sans-serif; font-size: 10pt; font-weight: bold\">Data Engineer</span><span style=\"font-family: Arial, sans-serif; font-size: 10pt\"> to play a key role in shaping and scaling our platform as the organization grows in complexity and data maturity.</span></p>\n<p><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">In this role, you will be responsible for designing and evolving the </span><span style=\"font-family: Arial, sans-serif; font-size: 10pt; font-weight: bold\">core data infrastructure</span><span style=\"font-family: Arial, sans-serif; font-size: 10pt\"> 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.</span></p>\n<p><br><br></p>\n<p><span style=\"font-family: Arial, sans-serif; font-size: 12pt; font-weight: bold\">Key Responsibilities</span></p>\n<ul>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Design, build, and maintain <span style=\"font-weight: bold\">production-grade data pipelines</span> and data-intensive systems</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Configure, schedule, and monitor <span style=\"font-weight: bold\">data pipeline</span> execution to ensure reliability, maintainability, and timely delivery across all data processes</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Deploy and manage <span style=\"font-weight: bold\">data infrastructure</span> on AWS or on-premises, ensuring scalability, security, and cost-efficiency</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Monitor and optimize relational and <span style=\"font-weight: bold\">NoSQL database performance</span> (e.g., MySQL, PostgreSQL, MongoDB) to ensure efficient querying, indexing, and data access at scale</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Ensure reliable ingestion, transformation, and availability of </span><span style=\"font-family: Arial, sans-serif; font-size: 10pt; font-weight: bold\">large-scale and time-series financial data</span><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">, considering financial-specific data quality characteristics.</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Implement and maintain data quality, validation, and monitoring mechanisms across data workflows</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Define and evolve </span><span style=\"font-family: Arial, sans-serif; font-size: 10pt; font-weight: bold\">data models and storage structures</span><span style=\"font-family: Arial, sans-serif; font-size: 10pt\"> across relational and NoSQL systems</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Collaborate with Data Scientists and Analysts to ensure accurate and efficient data access for analytics and modeling use cases</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Optimize </span><span style=\"font-family: Arial, sans-serif; font-size: 10pt; font-weight: bold\">data processing workflows</span><span style=\"font-family: Arial, sans-serif; font-size: 10pt\"> for performance, reliability, and operational stability</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt; font-weight: bold\">Troubleshoot</span><span style=\"font-family: Arial, sans-serif; font-size: 10pt\"> complex data issues and drive root cause analysis.</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Contribute to technical decision-making and help define the roadmap for data infrastructure.</span></li>\n</ul>\n<p><br><br></p>\n<p><span style=\"font-family: Arial, sans-serif; font-size: 12pt; font-weight: bold\">Required Skills &amp; Qualifications (Must-Haves)</span></p>\n<ul>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Degree in Computer Science, Engineering, or a related field.</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Strong programming skills in </span><span style=\"font-family: Arial, sans-serif; font-size: 10pt; font-weight: bold\">Java or Python</span><span style=\"font-family: Arial, sans-serif; font-size: 10pt\"> (or other JVM-based languages)</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Strong understanding of data modeling, SQL, and NoSQL databases</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Strong focus on data quality, validation, and monitoring practices</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Experience working with </span><span style=\"font-family: Arial, sans-serif; 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font-size: 10pt\">Solid understanding of </span><span style=\"font-family: Arial, sans-serif; font-size: 10pt; font-weight: bold\">financial data structures and concepts</span><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">, with the ability to model and validate financial data accurately</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Strong problem-solving skills and attention to detail.</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Professional proficiency in English.</span></li>\n</ul>\n<p><br><br></p>\n<p><span style=\"font-family: Arial, sans-serif; font-size: 12pt; font-weight: bold\">Nice to Have (Bonus Skills)</span></p>\n<ul>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Experience with monitoring and visualization tools (e.g., dashboards)</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Exposure to </span><span style=\"font-family: Arial, sans-serif; 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