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Data Engineer – AI Value & DX Platform

2 hours, 31 minutes ago
Hungary
Full-time
Mid Level
Data Engineer
Data Science and Analytics
CI/CD GitLab
Apply Now
Qualysoft

Qualysoft

Founded in 1999 in Vienna, Qualysoft Group is an independent IT consulting and services company that offers tailored IT solutions to international customers. With over 500 specialists in Central and Eastern Europe, Qualysoft ensures the success of ever...

Internet Software & Services
251-1K
Founded 1999
View All Jobs 18

Description

  • Support selection of pilot teams and define the AI value measurement model.
  • Define success criteria for AI adoption, usage, time savings, lead time, quality, and ROI.
  • Configure the DX platform, including SSO, identity integration, permissions, teams, hierarchies, and data models.
  • Integrate DX with GitLab, CI/CD, ticketing, identity systems, and AI tool telemetry such as GitHub Copilot Metrics API.
  • Establish identity and team mapping across AI tools and delivery systems.
  • Link AI-related metrics with cost data and configure surveys and system-side data collection.
  • Establish baseline measurements and analyze AI’s impact on delivery speed, quality, review effort, rework, security findings, and change failure rates.
  • Ensure data quality, anonymization, aggregation, data minimization, and separation of AI usage measurement from individual performance measurement.
  • Develop dashboards, reports, and exports for analysis and ROI assessment.
  • Identify effective AI use cases and adoption barriers, then support enablement, scaling, licensing strategy, documentation, and resource estimates.

Requirements

  • Experience configuring and implementing enterprise software platforms or similar technical solutions.
  • Experience integrating systems such as GitLab, CI/CD pipelines, ticketing platforms, identity providers, and SSO.
  • Knowledge of AI-assisted software development tools, including GitHub Copilot and coding agents.
  • Ability to define measurement models, baselines, success criteria, and ROI analyses.
  • Experience working with telemetry, usage data, APIs, dashboards, and reporting.
  • Understanding of software delivery and quality metrics, including lead time, change failure rate, rework, review effort, and security findings.
  • Knowledge of data quality management, anonymization, aggregation, and data minimization principles.
  • Ability to document technical requirements and estimate future scaling effort and resources.

Benefits

  • Continuous learning opportunities through diverse international projects.
  • Stable work environment focused on honesty, development, and transparency.
  • Open and collaborative team culture where new ideas are encouraged.
  • Opportunities to work with current technologies and contribute to AI adoption initiatives.

Interested in this position?

Apply directly on the company website

Apply Now

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