Job
- Level
- Senior
- Job Feld
- BI, Data
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
- Gehalt
- ab 3.267 € Brutto/Monat
- Ort
- Wien
- Arbeitsmodell
- Hybrid, Onsite
Job Zusammenfassung
In dieser Rolle entwickelst du Datenextraktionsprozesse aus Textdokumenten und Bildern, implementierst Webcrawler, optimierst Datenabruf mit OCR und NLP und erstellst APIs zur Datenverarbeitung. Du bearbeitest komplexe Datenstrukturen und Quality Assurance.
Job Technologien
Deine Rolle im 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 automatize crawlers to access various data sources from the web.
- Improve existing and further develop data extraction scripts and processes from documents (mostly PDF´s 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.
- Scalable data processing with Kubernetes, Docker and API-supported data queries.
- 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.
Unsere Erwartungen an dich
Ausbildung
- 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).
Qualifikationen
- 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 GoogleOCR).
- 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.
Erfahrung
- Profound Experience (Expert level) in querying, processing and analyzing data with Python and R.
- Initial Experience in Docker, Kubernetes, CI/CD.
Unser Angebot
- 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 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, full-time basis. Overpayment depends on qualification, professional experience and education/training.
Benefits
Essen & Trinken
Work-Life-Integration
Gesundheit, Fitness & Fun
Mehr Netto
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
DataScience Service GmbH
Wien
Die professionelle Immobilienbewertung sowie die methodische/wissenschaftliche Beratung und Studienerstellung werden von uns angeboten. Mit unserer langjährigen Erfahrung sind Sie bei uns in den besten Händen.
Description
- Unternehmenstyp
- Etablierte Firma
- Arbeitsmodell
- Hybrid, Onsite
- Branche
- Internet, IT, Telekom
Dev Reviews
by devworkplaces.com
Gesamt
(1 Bewertung)4.8
Engineering
4.6Career Growth
5.0Culture
5.0Workingconditions
4.6