Data Engineer
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 2h ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 116d ago
The date the source published, not the day we noticed it (2026-06-09). Last seen at its source just now.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
MI, Italy
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay €57.5k–70.4k/yr
Middle 50% of 13 listings that do state pay — Engineering · all levels · Italy · EUR/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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bamboohr employer's own board first seen 2h ago · last seen just now
The listing
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