Required skills
- Python
- SQL
- Geospatial Data
- Infrastructure Data
- Cloud Data Management
- Databricks
- Snowflake
- OCR
- Coordinate Systems
- BIM
- Data Validation
- Data Quality
Languages: German
Job description
Seeking a BIM Data Engineer with expertise in geospatial data and automation to analyze and process data, develop data pipelines, and integrate information into BIM structures.
Project overview
Westhouse is one of the leading recruitment companies for the placement of highly qualified specialists from the entire IT lifecycle and engineering sector.
For our client, we are currently looking for a
BIM Data Engineer (Geospatial Data & Automation)
Framework Information
Reference:180843
Responsibilities
Interested?
Interested? We look forward to receiving your meaningful CV in electronic form.
Your contact person:
Medine Kurt
*@*.com
*
- Analysis of the provided geospatial data stocks, mast data sheets, and existing BIM data structures.
- Analysis of the existing Python script and the current IFC model structure.
- Evaluation 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 acquisition 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 cleaning 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 data sheets.
- Prototype processing of mast data sheets, including PDF/image preprocessing, OCR, table recognition, and plausibility checks.
- Extraction of agreed-upon information and assignment to the corresponding objects in the geospatial data.
- Labeling 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 checks 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 verification of IFC output files regarding technical validity and factual plausibility.
- Execution of quality checks at the data, process, and modeling level.
- Documentation of data structures, transformation logics, and validation rules.
- Documentation of unresolved data conflicts and special cases.
- Creation of traceable technical documentation of the developed solution.
Project details
Start Date:05.11.2026
Working Hours:Full-time 60 PT
31.07.2027
Languages:German
Your Qualifications
- MUST-CRITERIA:
- Min. 3 years of practical experience in conducting complex data analyses with Python, including data preparation, data validation, and preparation of results tailored to the audience.
- Practical experience with SQL for querying, preparing, and integrating structured data (4 reference projects).
- Practical experience in processing infrastructure and geospatial data (1 reference project).
- Certification in a cloud-based data management solution (Databricks, Snowflake, Fabrik).
- SHOULD-CRITERIA:
- In-depth knowledge of coordinate systems and coordinate transformations proven by a completed degree in mathematics or physics.
- Experience with OCR methods for automated extraction of structured data (1 reference project).
- Start: 2026-11
- Duration: 8 Monate
- Remote: remote
- Location: Remote, Deutschland, DE
- Languages: German
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