Data Engineer

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.

Your fields of work in detail

Text mining & information extraction:

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.

Data enhancement:

Development of rulesets and algorithms to complete incomplete data sets through rule-based filling of data gaps or secondary data integration.

Image Recognition:

Application of computer vision methods to extract information from document images and photos.

Pipeline management:

Scalable data processing with Kubernetes, Docker and API-supported data queries.

Data Visualization & Integration:

Provision of APIs, definition of data filters and display rules for our web application ImmAzing®.

Support & Quality Assurance:

Monitoring of control mechanisms and quality assurance, first point of contact for maintenance and bug fixing in your area.

• querying, processing and analyzing data with Python and R
• 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)

Initial Experience in: *

• Docker, Kubernetes, CI/CD
• data warehousing and orchestration (dagster)

• API Development (FastAPI, Swagger, uvicorn) +

• or are interested in continuing your education in these areas.
• 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”.
• Have completed or are about to complete a degree in data science, computer science or software engineering (or a related field).
• 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 *

• Top locations: Familiar atmosphere in Salzburg’s Neustadt district or a modern office with roof terrace in Vienna’s 7th district.
• Flexibility: 1-2 days home office per week and flexible working hours within our flexitime scheme.
• Additional offers: Regular team events, company lunch and more.
• Attractive remuneration: 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.

Founded in 2016, DataScience Service GmbH is an Austrian software company that is revolutionizing the real estate industry. With our leading software solution ImmAzing®, we support banks, appraisers and local authorities in the valuation and management of properties.

Our strength: We combine data-based research, state-of-the-art technologies, continuous innovation and customized services.