Expert Data Engineer (gn)

OMV; Wien; On-site; EUR 70,000 - 85,000; Full time

Benefits offered by this job

Canteen with healthy meals

Pension fund scheme

Diverse trainings and development

Company Kindergarten & Summer KidsCamp

Cultural, health and fitness programs

Job summary

OMV in Austria seeks a senior data engineer to build and evolve end-to-end data pipelines on a modern cloud lakehouse. You will connect ERP and enterprise apps, define quality checks and monitoring, and embed governance with Data Domain Owners.

You will enable AI-ready data with feature engineering and vector indexes. The role requires a Master’s in a related field, 5+ years in data engineering, strong SQL and Python skills, and knowledge of GDPR and DataOps practices.

Qualifications

• Master’s degree or equivalent in Computer Science, Data Engineering or related field.
• 5+ years in data engineering with production pipelines on cloud lakehouse or data warehouse platforms.
• Expert SQL and Python with data modelling and governance experience.
• Experience integrating ERP and enterprise data into analytical platforms, GDPR aware.

Responsibilities

• Build and evolve end-to-end data pipelines on a modern cloud lakehouse platform.
• Connect ERP and enterprise apps to the lakehouse using connectors and ingestion patterns.
• Define quality checks, reconciliations and monitoring; resolve issues at source.
• Embed governance, manage metadata, lineage and access with Data Domain Owners.
• Prepare data for ML/GenAI, including feature engineering and vector search.

Skills

SQL

Python

Data modelling

Data governance

Data quality

CI/CD

DataOps

Stakeholder communication

English (Fluent)

Education

Master’s degree or equivalent in Computer Science / Data Engineering / Information Systems

Tools

ERP integration

Cloud lakehouse platforms

Job description

• 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.