BIM Data Engineer (Geodata & Automation)

Workplace: remote Requirements 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 Nice to have 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) Responsibilities 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 We offer 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 Any questions? Anna hh@itransition.com