Data Engineer – AI Value & DX Platform
What is Data Engineer – AI Value & DX Platform?
Data Engineer – AI Value & DX Platform is a professional role at Qualysoft based in Hungary. This role offers competitive compensation and the opportunity to work in the technology sector with modern tools and methodologies.
Employment Type: Type: Full Time
Duration: 1794216592
Work Arrangement: Remote work available with flexible scheduling
Industry: Information Technology & Professional Services
Complete Job Description
Project Overview
The project focuses on the implementation of the DX platform (getdx.com) as a Proof of Concept (PoC), with a strong focus on objectively measuring the value generated by AI-assisted software development tools.
AI-powered development tools such as GitHub Copilot, coding agents, and AI-assisted code review solutions are increasingly being adopted. However, their actual business value is currently difficult to measure reliably.
The objective of the PoC is to assess whether AI adoption, usage intensity, development time savings, and the impact on quality and lead times can be reliably measured, integrated into existing systems, and used to support well-founded ROI, investment, and scaling decisions.
Key Responsibilities
- Support the selection of pilot teams and the definition of an AI value measurement model.
- Define measurement and success criteria covering AI adoption, usage intensity, time savings, lead time, quality impact, and ROI.
- Set up and configure the DX platform, including SSO/identity integration and the permission model.
- Integrate DX with existing GitLab, CI/CD, ticketing, and identity/SSO systems.
- Integrate usage and telemetry data from the AI tools in use, including GitHub Copilot usage data / Copilot Metrics API.
- Configure teams, hierarchies, and data models within the DX platform.
- Set up and validate identity and team mapping across AI tools and delivery systems.
- Link AI-related metrics with relevant cost data.
- Set up the DX AI Measurement Framework surveys and system-side data collection.
- Establish baseline measurements before and after the expansion of AI usage.
- Analyze the impact of AI on quality-related metrics such as change failure rate, review effort, rework, and security findings, ensuring that AI value is not assessed solely in terms of speed.
- Ensure data quality, consistency, and completeness, including error analysis and correction.
- Implement technical requirements related to anonymization, aggregation, and data minimization.
- Ensure a clear separation between AI usage measurement and individual performance measurement.
- Develop dashboards, reports, and exports to support results analysis and ROI assessment.
- Identify the most effective AI use cases and key barriers to adoption based on the evaluation results.
- Support the definition of enablement measures and the future scaling and license strategy.
- Prepare technical documentation and estimate the effort and resources required for future scaling.
Why we think you will love working here:
Originally posted on Himalayas
What skills are required for this data engineer – ai value & dx platform?
The essential skills and qualifications for this position include:
Additional preferred qualifications may include problem-solving abilities, strong communication skills, and experience working in collaborative team environments.
What type of employment is this data engineer – ai value & dx platform?
This is a Type: Full Time position offering:
- Competitive compensation in EUR currency
- Remote work flexibility
- Professional development opportunities
- Modern technology stack and tools
- 1794216592 engagement period
How can I apply for this data engineer – ai value & dx platform?
To apply for this position, you have the following options:
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Contact Person
Qualysoft (qualysoft)
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