We, OMV Petrom Global Solutions, are proud members of the OMV IT community. OMV IT delivers industry best practice solutions which enables our business success in the Energy Production and Distribution industry. It is our vision to "Enable Success and Transformation!" and our mission to address this goal with the right capabilities, at the right time, with the right mindset.
We are at the core of user experience on both sides of the isle: business and our consumer market. We challenge the status-quo. We are partnering with business experts to shape the future service portfolio of our digital tools. Thus, we have a key role in OMV’s Digital Transformation. Together, we are on a never-ending quest to test the edge of what is possible. We strongly believe each end every IT employee makes a difference in that respect.
⭐What is the role about:
The Sr. Expert AI & Data Engineering is responsible for designing, building, and operating scalable data and AI platforms and solutions for Borealis/Borouge International, combining data engineering, software engineering, and AI/ML capabilities to deliver end‑to‑end, production‑grade data and AI products. The role enables advanced analytics, automation, and sustainable business value across Borealis/Borouge International by providing enterprise‑ready, secure, and scalable AI and data foundations
✔Responsibilities:
- Responsible to design, build, and operate scalable data and AI pipelines (batch, streaming, and ML) across the full lifecycle, ensuring robustness, reliability, and maintainability from development through production operations.
- Develop and own end‑to‑end Data & AI solutions, covering data ingestion, transformation, feature engineering, model development, deployment, serving, and lifecycle management, in alignment with Borealis/Borouge International business and technology standards.
- Define, implement, and evolve enterprise data platform architectures (Data Lake, Lakehouse, Warehouse), ensuring scalability, interoperability, performance, and long‑term sustainability across analytical and AI use cases.
- Design, develop, deploy, and optimize machine learning and AI models, including predictive, prescriptive, and generative AI solutions, ensuring production‑grade quality, explain ability, and measurable business impact.
- Establish, operate, and continuously improve MLOps and DataOps practices, including CI/CD pipelines, automated testing, model monitoring, retraining strategies, data quality controls, and versioning across environments.
- Integrate, process, and manage large‑scale structured and unstructured data sources, such as IoT data, logs, documents, text, images, and other non‑relational data, enabling advanced analytics and AI capabilities.
- Design, build, and expose reusable Data & AI services, including APIs, data products, feature stores, and model endpoints, enabling scalable consumption by analytics, automation, and downstream digital solutions.
- Ensure data quality, governance, security, and compliance across all Data & AI solutions, collaborating with architecture, security, and governance stakeholders to meet Borealis/Borouge International policies and regulatory requirements.
- Monitor, analyze, and optimize performance, reliability, scalability, and cost efficiency of data platforms and AI systems, proactively identifying improvement opportunities and technical risks.
- Act as a senior technical expert and sparring partner for stakeholders, collaborating with business, IT, and digital teams to translate requirements into scalable, production‑ready AI and data solutions that drive sustainable, AI‑enabled business value.
- Investigates and resolves complex Data & AI platform and solution issues, coordinating with internal teams, vendors, and platform providers, and providing technical specifications and expert guidance to project teams.
✔ Requirements
- Education: University Degree in Computer Science, Engineering or Business.
- Specific Microsoft Azure certifications: Azure Fundamentals, Azure Data Engineer Associate, Azure Developer Associates.
- Relevant professional experience: >9 years
- Very strong expertise in cloud‑based Data & AI platforms, preferably Microsoft Azure (e.g., Data Factory, Databricks, Synapse, Azure ML or equivalent), with the ability to design and operate enterprise‑grade data and AI solutions.
- Advanced experience in designing, building, and operating scalable data pipelines (ETL/ELT), workflow orchestration, and distributed data processing frameworks (e.g., Spark), ensuring performance, reliability, and maintainability.
- Excellent understanding of modern data architectures (Data Lake, Lakehouse, Data Warehouse) and large‑scale data processing patterns, including data modeling, storage optimization, and data lifecycle management.
- Excellent programming expertise in Python (mandatory), with additional experience in languages such as Scala or Java, enabling the development of robust, production‑grade data and AI solutions.
- Excellent knowledge of SQL and NoSQL technologies, including relational, distributed, and big data systems, with the ability to optimize queries and data access patterns at sca
- le.Hands‑on expertise in machine learning and AI engineering, including model development, training, evaluation, deployment, and optimization, with a focus on production readiness and business applicability.
- Excellent understanding and practical application of MLOps and DataOps practices, including CI/CD pipelines, automated testing, monitoring, versioning, and data quality management across the full lifecycle.
- Strong ability to work on broadly defined, complex Data and AI challenges, ensuring robust and scalable solutions while applying best practices.
- Capability to define and drive improvements in processes, guidelines, and ways of working, providing structured input into standards and decision‑making.
- Ability to make sound decisions within the area of responsibility in a complex, dynamic, and international environment, balancing technical and business considerations.
- Strong coaching and mentoring skills, actively supporting knowledge sharing and capability development across teams.
- Excellent communication and interpersonal skills, with the ability to build trust and collaborate effectively across business, data, and IT stakeholders.
- Strong analytical and conceptual thinking, transforming complex problems into practical and scalable solutions.
- Strong continuous improvement mindset, proactively identifying opportunities to enhance Data and AI solutions and ways of working.
- Ability to operate effectively in a high‑complexity, multi‑stakeholder environment, delivering consistent and high‑quality outcomes.
Come and work with us! Our benefits will work for you!
✨We care about your well being.
- Long weekend plans are always welcome - on Friday, our office hours end at 14.00 PM
- At OMV Petrom, you can rely on a health insurance that covers medical treatment in a variety of private medical clinics. We also offer on-site physicians and nurses to keep you healty.
- You can work from home not only during the pandemic, but also regularly, if the work activity allows.
- The number of your days off increase according to your seniority so that you'll enjoy more free time.
✨Besides the monthly salary
- We aim to make your vacation days happier. How do we do this? By paying each vacation day double.
- Are you a top performer? Your work will be rewarded each three months based on performance results.
- Special events in your life deserve special gifts from our side: our colleagues receive additional days off and various financial support for different events like marriage, child birth, etc.
- Ordering food online or cooking at home? Use the monthly vouchers for your meals.
✨Development and other perks
- We want you to grow with us. We offer you access to LinkedIn Learning and a variety of development programs.
- Are you a coffee, ice-cream or pizza lover? Do you prefer to fuel up on fruits and veggies? Whatever you need, our large canteen caters for any possible tastes.
- Do you prefer cars of bikes? No matter what, we have free private covered parking.
- If you wish to devote time for volunteering, we offer you the opportunities to get involed.
Join us and discover more of the benefits of being our colleague!