Expert Data Engineer (gn)

OMV as employer At OMV, we drive energy, mobility, and lifestyles forward every day. We’re working towards becoming an integrated sustainable chemicals, fuels and energy company by 2030, and climate neutral by 2050. Put simply? That means reinventing the essentials for sustainable living. And that takes the best and brightest minds. This is a place where you can be ambitious. Feel included and drive innovation. A place that celebrates big thinking, and creates exciting opportunities to learn and grow. We're calling on people who turn ideas into action. To become part of a place that celebrates purpose. To contribute to global change by being here. The best thing about tomorrow is that you can create it. Your tasks Build and evolve end-to-end data pipelines on a modern cloud-based lakehouse platform, using a layered raw, refined and curated architecture. Turn data into trusted, reusable products across business functions—shaping schemas, business logic, semantics and service levels with Data Domain Owners. Connect ERP, planning and other enterprise applications to the lakehouse using platform-provided connectors and proven ingestion patterns. Make data dependable by defining and automating quality checks, reconciliations and monitoring—and resolving issues at their source. Embed governance into everyday engineering, managing metadata, classification, lineage and access in partnership with Data Domain Owners and Data Stewards. Bridge data engineering and AI engineering by preparing high-quality, AI-ready data—from feature tables and curated datasets to document corpora and vector indexes—in collaboration with AI & ML Engineers. Translate business needs into robust technical designs, and help shape product roadmaps and solution architecture in line with Data & AI standards. Apply modern engineering and DataOps practices, including version control, code reviews, automated testing and CI/CD, while improving workload performance and cost efficiency. Enable self-service analytics by coaching business power users and guiding external partners to deliver well-documented, reusable solutions. Follow company HSSE policies, complete required training and promote safe, secure and compliant ways of working. Your profile Master’s degree/Diploma in Computer Science, Data Engineering, Information Systems, Business Informatics, Mathematics or a related field. Minimum 5 years of relevant professional experience in data engineering, including at least 3 years building and running production pipelines on cloud lakehouse or data warehouse platforms. Expert knowledge of SQL and at least one programming language for large-scale data processing, such as Python, combined with strong data modelling skills and hands-on experience with modern lakehouse technologies. Experience integrating ERP and other enterprise application data into analytical platforms, with solid understanding of underlying business processes, as…