Job
- Level
- Senior
- Job Field
- BI, Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Salary
- from 3.267 € Gross/Month
- Location
- Vienna
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will develop data extraction processes from text documents and images, implement web crawlers, optimize data retrieval with OCR and NLP, and create APIs for data processing, while addressing complex data structures and quality assurance.
Job Technologies
Your role in the team
- As a Data Engineer, you are mainly responsible for extracting and processing information from text documents and images (partly AI-supported).
- Furthermore, you develop, maintain, and automate crawlers to access various data sources from the web.
- Improve existing and further develop data extraction scripts and processes from documents (mostly PDFs consisting of plain text, tables, and diagrams), including text recognition (OCR), AI-supported natural language processing (NLP), and rule-based information extraction.
- Development of rulesets and algorithms to complete incomplete data sets through rule-based filling of data gaps or secondary data integration.
- Application of computer vision methods to extract information from document images and photos.
- Skalierbare Datenverarbeitung mit Kubernetes, Docker und API-gestützten Datenabfragen.
- Provision of APIs, definition of data filters and display rules for our web application ImmAzing®.
- Monitoring of control mechanisms and quality assurance, first point of contact for maintenance and bug fixing in your area.
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Our expectations of you
Education
- Interested in continuing your education in these areas.
- Have completed or are about to complete a degree in data science, computer science or software engineering (or a related field).
Qualifications
- Usage of relational databases (PostgreSQL).
- Text mining and NLP (nltk, SpaCy, RegEx, LLM Calls and Prompt Engineering).
- Web data crawling (Selenium, Playwright).
- Image processing (Computer vision).
- Use of OCR tools (e.g., Tesseract and/or Google OCR).
- Data warehousing and orchestration (Dagster).
- API Development (FastAPI, Swagger, uvicorn).
- Ideally have basic knowledge of web development with JavaScript / React / TypeScript (not a must, but a plus!).
- Show interest in real estate valuation, data science and artificial intelligence.
- Enjoy delving deep into complex topics and thinking 'outside the box'.
- Like to work independently, think in a solution-oriented way and are a team player.
- Have a very good linguistic proficiency in German and English and a hands-on mentality.
Experience
- Profound Experience (Expert level) in querying, processing and analyzing data with Python and R.
- Initial experience in Docker, Kubernetes, CI/CD.
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What we offer
- Profound onboarding, cutting-edge technologies and respectful cooperation.
- Familiar atmosphere in Salzburg's Neustadt district or a modern office with roof terrace in Vienna's 7th district.
- 1-2 days of home office per week and flexible working hours within our flexitime scheme.
- Regular team events, company lunch and more.
- Above-average salary based on the IT collective agreement - overpayment depending on experience and education.
- Remuneration will be in accordance with the IT collective agreement, currently at a minimum of EUR 3,267 gross, on a full-time basis. Overpayment depends on qualification, professional experience, and education/training.
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Benefits
Food & Drink
Work-Life-Integration
Health, Fitness & Fun
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Topics that you deal with on the job
Job Locations
This is your employer
DataScience Service GmbH
Wien
We are experts at property valuation, methodical/scientific advice, and study creation.
Description
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Internet, IT, Telecommunication
Dev Reviews
by devworkplaces.com
Total
(1 Review)4.8
Engineering
4.6Career Growth
5.0Culture
5.0Workingconditions
4.6
Data Engineer
- Salary
- from 3.267 € Gross/MonthNet salary converted from the gross salary in the job ad.from 2.327 € net/Month
- Location
- Vienna
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
