Jobs / OMV Aktiengesellschaft
Expert Data & AI Platform Engineer (gn)
OMV Aktiengesellschaft · Wien, W, Austria
Wien, W, AustriaExp: 5+ yrs77,700-? EURRemote
Remuneration
Over-payment may be possible depending on skills and experience.
Location
Wien, W, Austria
Visa sponsorship
Not specified
Job summary
This role designs, builds, tests, and maintains scalable data and AI platform features across cloud and on-premise environments. It develops APIs and data integrations, translates analytical and AI-driven requirements into secure, reusable solutions, and improves CI/CD pipelines, test automation, and DevOps practices. The engineer also supports end-to-end data lifecycle management and coaches teams in software engineering, data engineering, and AI/ML practices.
Benefits
Flexible working time and home officeHealth centerCanteen with healthy meal optionsPublic transport refundContribution-based pension fundTraining and development opportunitiesSabbaticalsCompany kindergarten and summer kids campCulture, health, and fitness offersRelocation package for international moves
Qualifications
- Master’s degree or diploma in Software Engineering or a related field
- At least 5 years of relevant professional experience
- Proficiency in software development and delivery, DevOps, CI/CD, and automation tools
- Hands-on expertise in data integration, API management, and AI/ML frameworks
- Ability to coach technical teams and translate business requirements into sustainable technical architectures
- Familiarity with governance, architectural principles, security, privacy, and compliance in large enterprise environments
- Fluent English
Responsibilities
- Design, develop, test, and maintain platform features for APIs, data integration, and AI
- Build scalable, automated solutions for cloud and on-premise platforms within agile product teams
- Translate analytical and AI-driven requirements into scalable platform features with cross-functional stakeholders
- Implement and optimize CI/CD pipelines, test automation, and DevOps practices
- Coach peers and support knowledge transfer on engineering and AI development practices
- Assess emerging technologies and patterns in the modern data ecosystem
- Align feature delivery with platform standards, governance, and business requirements
- Improve platform components, technologies, and processes
- Support harmonized data management, integration, and end-to-end data lifecycle management
Skills
MakeAWSAzure.NETGCPGitHub ActionsGitLab CIJavaJenkinsKubernetesOpenAPIPythonRESTTerraform
Degrees
Master’s degree or diploma in Software Engineering or a related field
Languages
EnglishGermanRomanian
Work schedule
Flexible working time
Industry
EnergyMobilitySustainable chemicalsFuels
Relocation
Yes