Expert Data Engineer (gn)

OMV Group; Wien; Hybrid; EUR 70,000 - 85,000; Full time

Benefits offered by this job

Healthy meal options

Pension Fund Scheme

Diverse trainings

Company Kindergarten

Health and fitness offers

Job summary

OMV Group is looking for a skilled Data Engineer to build and evolve data pipelines on a cloud-based lakehouse platform. You will connect ERP and other applications, ensuring data quality and governance while enabling analytics for business use.

The ideal candidate holds a Master’s degree and has at least 5 years in data engineering, with expert SQL skills and familiarity with Python. OMV promotes diversity and offers relocation packages, canteen services, and various trainings.

Qualifications

• Minimum 5 years of relevant experience in data engineering.
• At least 3 years building production pipelines on cloud platforms.
• Expert knowledge of SQL and large-scale data processing.

Responsibilities

• Build and evolve end-to-end data pipelines.
• Connect ERP and other applications to the lakehouse.
• Embed governance into everyday engineering.

Skills

SQL

Python

DataOps

Data Governance

English

Agile Methods

Education

Master’s degree in Computer Science

Job description

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• 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 well as sound knowledge of data quality, metadata management, lineage, data governance and privacy-aware design (GDPR).
• Proficiency in DataOps practices, including version control, CI/CD, automated testing, orchestration and pipeline monitoring; experience preparing data for ML and GenAI use cases, including feature engineering, unstructured data, embeddings and vector search, is an advantage.
• Strong ability to translate business requirements into technical solutions and communicate with non-technical stakeholders, proficiency in agile delivery methods, fluent English (German is an advantage).

Unlock your potential. Make it count.

Together, we'll reinvent the essentials for sustainable living. Join us on our journey of transformation, where you can contribute to a long-lasting legacy.

We offer a dynamic and inclusive environment where your potential can thrive. Join us and become part of a team that’s shaping a sustainable future.

The minimum gross annual salary according to the collective agreement amounts to EUR 77.700,-- all-in. Depending on skills and specific experience, over-payment is possible.

OMV offers relocation packages for international moves and here are some of our attractive benefits:

Canteen with healthy meal options.

Contribution Based Pension Fund Scheme.

Diverse trainings and development opportunities.

Company Kindergarten & Summer Kids Camp.

A big variety in culture, health and fitness offers.

At OMV, you matter. Ready to grow?

At OMV, we’re passionate about creating an inclusive environment where everyone has the chance to grow and thrive. We embrace diversity in all its forms—whether it’s age, gender identity, disability, ethnicity, religion, or sexual orientation—because we know it makes us stronger.

Our success comes from working together as a diverse team and maintaining a healthy work-life balance. Guided by our values—We Care, We’re Curious, We Progress—we’re shaping a more sustainable future together.

We’re especially proud of our efforts to advance women within our organization, focusing on getting more women into leadership roles. At OMV, you’ll have the opportunity to take on meaningful responsibilities, work across different functions, lead impactful projects, and even go on international assignments.

We offer tailored development programs to help you unlock your potential and achieve your career goals while contributing to a legacy of sustainable progress. Join us and be part of a community that’s driving global change.

Together. Forward for good.

Your contact

If you need any further information or have questions regarding accessibility please contact Melanie Mann.