Required skills
- Python
- GIS
- BIM
- IFC
- SQL
- Data Engineering
- Data Analysis
- Data Preparation
- Data Validation
- OCR
- IfcOpenShell
- Databricks
- Snowflake
- Microsoft Fabric
Languages: German
Job description
We are looking for an experienced Data Engineer with a focus on Python, GIS data, and BIM/IFC for a project in Transport & Logistics. The role involves automating the enrichment of digital planning and geodata with information from PDF documents and creating BIM models.
Project overview
For a project in the Transport & Logistics sector, we are looking for an experienced Data Engineer with a focus on Python, GIS data, and BIM/IFC.
Key Data
The project "GIS2BIM" aims to automatically enrich existing digital planning and geodata with additional information from PDF documents. The focus is particularly on data related to overhead line masts, such as mast number, mast type, mast length, and height information.
The acquired data will be assigned to existing geodata and subsequently used for the automated or parametric creation of BIM models in IFC format. The goal is the prototypical development of a robust data pipeline and the automated creation of quality-assured IFC models.
Responsibilities
-Analysis of existing geodata, mast data sheets, and BIM data structures
-Analysis and further development of existing Python scripts and IFC structures
-Development and optimization of automated data pipelines
-Integration and processing of different data sources
-Processing of PDF documents using OCR and table recognition
-Transformation, validation, and cleaning of structured and unstructured data
-Extraction and assignment of relevant information from mast data sheets
-Development of methods for automated plausibility and quality assurance
-Extension of existing script components for automated IFC model generation
-Parametric modeling of overhead line masts and other infrastructure components
-Integration of enriched data into existing BIM structures
-Checking the generated IFC files for technical and functional plausibility
-Technical documentation of data structures, transformation logics, and validation rules
Technologies:
-Python
-SQL
-IFC / BIM
-IfcOpenShell
-OCR technologies
-GIS / Geodata
-Cloud-based data platforms such as Microsoft Fabric, Databricks or Snowflake
Requirements
-More than 3 years of practical experience with Python in the area of complex data analysis, data preparation, and data validation
-At least 4 references with SQL for querying, preparing, and integrating structured data
-At least 1 reference with IfcOpenShell for creating IFC-BIM models
-At least 1 reference in processing infrastructure and geodata
-Certification in a cloud-based data management solution, specifically Databricks, Snowflake, or Microsoft Fabric
-Very good German language skills
-Completed university degree in Mathematics or Physics as proof of in-depth knowledge of coordinate systems and coordinate transformations
-At least 1 reference with OCR methods for automated extraction of structured data
Project details
23.11.2026
until 31.07.2027
Scope: approx. 60 PT
Project Language: German, mandatory
Residence: Germany
- Start: ab sofort
- Duration: 8 Monate
- Remote: remote
- Location: Berlin, Deutschland, DE
- Languages: German
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