Home › Companies › Mdotm › Data Engineer
Data Engineer
Mdotm · Milano, 20122, Italy · Active · BambooHR
Job facts
| Field | Value |
|---|---|
| Company | Mdotm |
| Title | Data Engineer |
| Normalized title | - |
| Department / team | Research and Development |
| Location | Milano |
| Work model | - |
| Employment type | Full Time |
| Salary | - |
| Status | active |
| ATS provider | BambooHR |
| Posted / first seen | 2026-04-29 / 2026-05-30 |
| Changed / last seen | 2026-05-30 / 2026-06-06 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Mdotm. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through BambooHR. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in Milano. | Open |
| Department jobs | Active postings in Research and Development. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Mdotm |
| Source | 8adbf926-fef1-44e3-b514-0365fa2b3e01 |
| ATS provider | BambooHR |
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
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| Board ID | 8adbf926-fef1-44e3-b514-0365fa2b3e01 |
| Provider | bamboohr |
| Provider Job Key | 66 |
| Title | Data Engineer |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | Milano, 20122, Italy |
| Department | Research and Development |
| Team | — |
| Employment Type | full_time |
| Workplace Type | — |
| Remote Policy | — |
| Country | — |
| Region | — |
| City | Milano |
| Salary Raw | — |
| Salary Min | — |
| Salary Max | — |
| Salary Currency | — |
| Salary Period | — |
| Source URL | https://mdotm.bamboohr.com/careers/66 |
| Apply URL | https://mdotm.bamboohr.com/careers/66 |
| First Seen At | 2026-05-30 05:57:06Z |
| Last Seen At | 2026-06-06 10:29:14Z |
| Last Checked At | 2026-06-06 10:29:14Z |
| Last Changed At | 2026-05-30 05:57:06Z |
| Inactive At | — |
| Source Posted At | 2026-04-29 00:00:00Z |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=bamboohr/board=mdotm/date=2026-06-06/2026-06-06T10-29-13-486Z-b0d53738941f4d489a838afa47d318ff9810d8e0bef5216c7efc5d3cfd709e4f.json |
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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 & 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; font-size: 10pt; font-weight: bold\">large-scale and time-series datasets</span><span style=\"font-family: Arial, sans-serif; font-size: 10pt\"> in financial contexts, with an understanding of their structure and common data quality challenges</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Experience building and maintaining </span><span style=\"font-family: Arial, sans-serif; font-size: 10pt; font-weight: bold\">production data pipelines</span><span style=\"font-family: Arial, sans-serif; font-size: 10pt\"> or data-intensive systems, with focus on reliability and performance</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Ability to </span><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\"> and optimize production data systems</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Experience with workflow orchestration and data pipeline scheduling tools</span></li>\n<li><span style=\"font-family: Arial, sans-serif; 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; font-size: 10pt; font-weight: bold\">machine learning workflows</span><span style=\"font-family: Arial, sans-serif; font-size: 10pt\"> and related data requirements</span></li>\n</ul>\n<p><br><br></p>\n<p><span style=\"font-family: Arial, sans-serif; font-size: 12pt; font-weight: bold\">Why Join Us?</span></p>\n<ul>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Work at the leading edge of technology, leveraging our decade of experience in proprietary AI to build the next generation of industry-defining tools.</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Competitive salary & truly </span><span style=\"font-family: Arial, sans-serif; font-size: 10pt; font-weight: bold\">flexible work environment</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">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</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Collaborate daily with an </span><span style=\"font-family: Arial, sans-serif; font-size: 10pt; font-weight: bold\">ultra-international team </span><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">(18+ nationalities) spread across our offices in Milan, London and New York</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Annual </span><span style=\"font-family: Arial, sans-serif; font-size: 10pt; font-weight: bold\">company retreat</span><span style=\"font-family: Arial, sans-serif; font-size: 10pt\"> at a stunning location</span></li>\n<li><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">Fast-track </span><span style=\"font-family: Arial, sans-serif; font-size: 10pt; font-weight: bold\">career progression</span><span style=\"font-family: Arial, sans-serif; font-size: 10pt\">, with opportunities to grow into leadership roles</span></li>\n</ul>",
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