BIM data engineer in geodata

We are looking for a BIM Data Engineer (Geodata & Automation) for a project on the processing of geodata, BIM models, and the automation of IFC model generation.

• Analysis of the provided geodata inventories, mast plates, and existing BIM data structures
• Analysis of the existing Python script as well as the current IFC model structure
• Assessment of additional infrastructure objects regarding their suitability for data enrichment and BIM modeling
• Technical coordination of the attributes and modeling parameters to be used
• Development and further development of data pipelines for automated data ingestion and data processing
• Integration of information from various data sources
• Processing of PDF documents including OCR-supported text recognition and table evaluation
• Transformation, validation, and cleansing of structured and unstructured data
• Design and optimization of suitable data models for storing and further processing the data
• Extraction of relevant information from mast plates
• Prototypical processing of the mast plates, including PDF/image preprocessing, OCR, table recognition, and plausibility checking
• Extraction of the agreed information and assignment to the matching objects in the geodata
• Flagging of unrecognized, ambiguous, or implausible information and provision of the enriched data in machine-readable form
• Ensuring traceable data quality and data integrity
• Development of methods for automated plausibility checking of the results
• Extension and adaptation of existing script components for automated IFC model generation
• Support in the parametric modeling of overhead line masts and other coordinated infrastructure components
• Integration of enriched data into existing BIM structures
• Creation and review of IFC output files with regard to technical validity and technical plausibility
• Conducting quality checks at the data, process, and modeling level
• Documentation of data structures, transformation logic, and validation rules
• Documentation of unresolvable data conflicts and special cases
• Creation of traceable technical documentation of the developed solution

• Min. 3 years of practical experience in carrying out complex data analyses with Python, including data preparation, data validation, and target-audience-appropriate preparation of the results
• Practical experience with SQL for querying, preparing, and integrating structured data (4 reference projects)
• Practical experience in processing infrastructure and geodata (1 reference project)
• Certification in a cloud-based data management solution (Databricks, Snowflake, Fabric)
• Knowledge of German at C1 level or above
• Knowledge of English at B2 level or above
• Будет плюсом: In-depth knowledge of coordinate systems and coordinate transformations, demonstrated by a completed degree in mathematics or physics; Experience with OCR methods for the automated extraction of structured data (1 reference project)

• Projects for such clients as PayPal, Wargaming, Xerox, Philips, Adidas and Toyota
• Competitive compensation that depends on your qualification and skills
• Career development system with clear skill qualifications
• Flexible working hours aligned to your schedule
• Options to work remotely
• Corporate medical insurance covering services of private and public medical centers
• English courses online
• Corporate parties and events for employees and their children
• Internal conferences, workshops and meetups for learning and experience sharing
• Gym membership compensation
• 5 days of paid sick leave per year with no obligation to submit a sick-leave certificate