Job
- Level
- Senior
- Location
- Vienna
- Working Model
- Hybrid, Onsite
- Job Field
- BI, Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Salary
- from 77.700 € gross/year
Job Summary
In this role, you will build robust data pipelines on a modern cloud lakehouse platform, integrate enterprise data, ensure data quality, and prepare high-quality data for AI applications.
Job Technologies
Your role in the team
- 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.
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Our expectations of you
Education
- Master's degree/Diploma in Computer Science, Data Engineering, Information Systems, Business Informatics, Mathematics or a related field.
Qualifications
- 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).
Experience
- Minimum of 5 years of relevant professional experience in data engineering, including at least 3 years building and operating production pipelines on cloud lakehouse or data warehouse platforms.
- Expertise in SQL and at least one programming language for large-scale data processing, such as Python, combined with strong data modeling 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.
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What we offer
- The minimum gross annual salary according to the collective agreement amounts to EUR 77,700,-- all-in.
- Depending on skills and specific experience, overpayment is possible.
- OMV offers relocation packages for international moves and here are some of our attractive benefits: Work-Life Balance: Flexible Working Time & Homeoffice.
- Canteen with healthy meal options.
- Public Transport Refund.
- Beitragsorientiertes Pensionskassensystem.
- Various training and development opportunities.
- Company Kindergarten & Summer Kids Camp.
- A wide variety of culture, health, and fitness offers.
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Benefits
Work-Life-Integration
Health, Fitness & Fun
Topics You Will Work On
Job Locations
About Your Employer
OMV AG
Wien, Wien
The OMV is deeply committed to sustainable oil and gas exploration and production, as well as developing innovative energy solutions. We are dedicated to supplying our customers with the highest quality petrochemical products in a responsible manner.
Description
- Founding Year
- 1956
- Language
- English
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Power Sector, Economy
Employer reviews
by devworkplaces.com
Total
(1 Review)3.6
Culture
3.3Workingconditions
4.0Engineering
0.0Career Growth
0.0
Expert Data Engineer
- Salary
- from 77.700 € gross/yearEstimated net salary based on the gross salary in the job ad.from 50.531 € net/year
- Location
- Vienna
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
