Required skills
- Python
- SQL
- IFC
- BIM
- IfcOpenShell
- Databricks
- Snowflake
- Microsoft Fabric
- Data Analysis
- Data Validation
- Data Preparation
- Data Integration
- Geodata
- Infrastructure Data
- OCR
Languages: German
Job description
Seeking a Python Data Engineer for a project involving IFC-BIM models, data pipelines, and cloud platforms. The role requires analysis of data landscapes, development of data pipelines, data enrichment, and BIM modeling.
Project overview
Dear Sir or Madam,
For an exciting project, we are looking for a Python Data Engineer (IFC-BIM Models, IFCOpenShell, SQL, Databricks/Snowflake/MS Fabric)
Responsibilities
Analysis of the data landscape
Development of data pipelines
Data enrichment and integration
BIM modeling
Quality assurance and documentation
The deployed service provider works with the following technologies, among others:
- Analysis of the provided geodata inventories, mast panels, 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.
- Professional 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 panels.
- Prototypical processing of mast panels, including PDF/image preprocessing, OCR, table recognition, and plausibility checks.
- Extraction of agreed-upon information and assignment to the corresponding objects in the geodata.
- Marking 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 procedures 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 agreed infrastructure components.
- Integration of enriched data into existing BIM structures.
- Creation and verification of IFC output files regarding technical validity and professional plausibility.
- Performance of quality checks at the data, process, and modeling levels.
- Documentation of data structures, transformation logic, and validation rules.
- Documentation of unresolved data conflicts and special cases.
- Creation of traceable technical documentation of the developed solution.
- Python
- SQL
- IFC / BIM
- IfcOpenShell
- OCR technologies
- GIS data
- Cloud-based data platforms (e.g., Microsoft Fabric, Databricks, or Snowflake)
Requirements
Interested?
Then we look forward to receiving your current profile, stating your availability and your hourly rate for remote and on-site assignments.
Feel free to forward this or recommend suitable contacts.
I look forward to your feedback.
Sincerely,
Ilhan Babac
____
Senior Partner Manager
iSAX Consulting GmbH
Czernyring * Heidelberg
Tel *
Fax *
Mail *@*.com
Web http://www.isax.com
- More than 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 project references)
- Practical experience in using IfcOpenShell for creating IFC-BIM models (1 project reference)
- Practical experience in processing infrastructure and geodata (1 project reference)
- Certification in a cloud-based data management solution (Databricks, Snowflake, or Fabric certificates)
- In-depth knowledge of coordinate systems and coordinate transformations proven by a completed degree in mathematics or physics (certificates, academic degree in math or physics)
- Experience with OCR methods for automated extraction of structured data (1 project reference)
Project details
23.12.2026
End: 31.07.2027
Utilization: 4-5 days per week
- Start: 2026-11
- Duration: 6 Monate
- Remote: remote
- Location: remote, Deutschland, DE
- Languages: German
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