Required skills
- Python
- Data Analysis
- Data Preparation
- Data Validation
- SQL
- Geodata Processing
- Cloud Data Management
- Databricks
- Snowflake
Languages: German
Job description
We are seeking a BIM Data Engineer with expertise in geodata and automation to join our client's team. The role involves data analysis, pipeline development, and integration of information from various sources.
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 (Geodata & Automation) - Remote
Framework Information
Your Qualifications
- Reference: 180843
- Start: 2026-11-05
- Duration: 2027-07-31
- Location: Remote
- Scope of Work: full-time60 PT
- Languages: German
- MUST-haves:
- Min. 3 years of practical experience in conducting complex data analyses with Python, including data preparation, data validation, and presentation 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 geodata (1 reference project).
- Certification in a cloud-based data management solution (Databricks, Snowflake, Fabrik).
- SHOULD-haves:
- In-depth knowledge of coordinate systems and coordinate transformations, proven by a completed degree in mathematics or physics.
- Experience with OCR processes for automated extraction of structured data (1 reference project).
Responsibilities
Interested?
Interested? We look forward to receiving your meaningful CV in electronic form.
Your Contact Persons
Medine Kurt
P: [contact removed]
E: [contact removed]
- Analysis of the provided geodata sets, 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-based 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.
- Prototypical 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 geodata.
- Identification 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 agreed 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 unresolvable data conflicts and special cases.
- Creation of traceable technical documentation of the developed solution.
Project details
- Start: 2026-11-05
- Duration: 31.07.2027
- Remote: remote
- Location: Remote, DE
- Languages: German
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