Data Engineer (m/f/d)

DATA ENGINEER (M/F/D)

FULL-TIME (PREFERRED), AT LEAST 30H/WEEK

VIENNA

APPLY

Become part of our team at DataScience Service GmbH

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.

WHAT YOU DO WITH US:

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.

YOUR PROFILE:

Profound Experience (Expert level) in

• 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

WHAT WE OFFER YOU:

• Innovative team: Profound onboarding, cutting-edge technologies and respectful cooperation.
• 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

INTERESTED?

• 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.

If you are interested in this challenging role, we look forward to receiving your detailed application at the Reference number 111.309 preferably via our ISG-Careers portal or by email. We look forward to hearing from you!

ISG Personalmanagement GmbH

A-1030 Wien, Dannebergplatz 19

Horst Neumayer, T: +43 1 512 35 05

@:apply.job.29006189@hokifyjob.com