Data Engineer – AI Value & DX Platform

🔥 3 minutes ago

🇭🇺 Hungary – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 17%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Qualysoft

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 1999

📣 Marketing

📦 Logistics

🏭 Manufacturing

Marketing • Logistics • Manufacturing

Qualysoft is an independent IT consultancy based in Vienna, founded in 1999. It specializes in delivering innovative technology solutions focused on business applications, CRM consultancy, ERP consultancy, marketing automation, and software engineering. With over 25 years of experience, Qualysoft utilizes advanced technologies such as AI and data analytics to help organizations streamline operations and enhance customer experience across various industries, including banking, manufacturing, and telecommunications.

📋 Description

• Support selection of pilot teams and definition of an AI value measurement model • Define measurement and success criteria for AI adoption, usage intensity, time savings, lead time, quality impact, and ROI • Set up and configure the DX platform, including SSO/identity integration and permission model • Integrate DX with GitLab, CI/CD, ticketing, and identity/SSO systems • Integrate usage and telemetry data from AI tools, 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 DX AI Measurement Framework surveys and system-side data collection • Establish baseline measurements before and after AI-usage expansion • Analyze AI impact on quality metrics such as change failure rate, review effort, rework, and security findings • Ensure data quality, consistency, and completeness, including error analysis and correction • Implement anonymization, aggregation, and data minimization requirements • Separate AI usage measurement from individual performance measurement • Develop dashboards, reports, and exports for results analysis and ROI assessment • Identify effective AI use cases and barriers to adoption • Support enablement measures and future scaling and license strategy • Prepare technical documentation and estimate future scaling effort and resources

🎯 Requirements

• Experience with DX platform implementation is not explicitly stated • Experience integrating GitLab, CI/CD, ticketing, and identity/SSO systems is not explicitly stated • Experience with GitHub Copilot usage data / Copilot Metrics API is not explicitly stated • Ability to configure teams, hierarchies, and data models within the DX platform • Ability to establish identity and team mapping across AI tools and delivery systems • Ability to analyze quality-related metrics, including change failure rate, review effort, rework, and security findings • Knowledge of anonymization, aggregation, and data minimization technical requirements • Ability to develop dashboards, reports, and exports • Ability to prepare technical documentation and estimate scaling effort and resources

🏖️ Benefits

• With us you count as a person, our doors are always open • Qualysoft Team Spirit • Transparency • Fresh wind and new ideas are welcome • Continuous learning opportunities • Honesty, development and a stable background • Opportunities to learn the latest technologies