Expert Data Engineer (gn)

OMV AG

Date: 6 Oct 2026

Location: Wien, Wien, Österreich, 1020

Company: OMV Group

OMV as employer

At OMV, we drive energy, mobility, and lifestyles forward every day. We are 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.

This is a place where you can be ambitious, feel included and drive innovation. We are calling on people who turn ideas into action.

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 and ML Engineers.
  • Translate business needs into robust technical designs, and help shape product roadmaps and solution architecture in line with Data and 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 or 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.
  • 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 and German as an advantage.

Benefits

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.

  • Work-Life Balance: Flexible Working Time and Homeoffice.
  • Health-Center.
  • Canteen with healthy meal options.
  • Public Transport Refund.
  • Contribution Based Pension Fund Scheme.
  • Diverse trainings and development opportunities.
  • Sabbaticals.
  • Company Kindergarten and Summer Kids Camp.
  • A big variety in culture, health and fitness offers.

Your contact

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

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Expert Data Engineer (gn)

OMV AG

Date: 6 Oct 2026

Location: Wien, Wien, Österreich, 1020

Company: OMV Group

OMV as employer

At OMV, we drive energy, mobility, and lifestyles forward every day. We are 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.

This is a place where you can be ambitious, feel included and drive innovation. We are calling on people who turn ideas into action.

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 and ML Engineers.
  • Translate business needs into robust technical designs, and help shape product roadmaps and solution architecture in line with Data and 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 or 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.
  • 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 and German as an advantage.

Benefits

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.

  • Work-Life Balance: Flexible Working Time and Homeoffice.
  • Health-Center.
  • Canteen with healthy meal options.
  • Public Transport Refund.
  • Contribution Based Pension Fund Scheme.
  • Diverse trainings and development opportunities.
  • Sabbaticals.
  • Company Kindergarten and Summer Kids Camp.
  • A big variety in culture, health and fitness offers.

Your contact

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

Bewerben

Hauptstandort

Random Phone Number
randomemail@example.com

Ansprechpartner

Hauptstandort

Random Phone Number
randomemail@example.com

Ansprechpartner