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BIM Data Engineer (Geospatial Data & Automation)

Original title: BIM Data Engineer (Geodaten & Automation) (m/w/d)

Westhouse Consulting GmbH · Remote, Deutschland, Germany · Remote · Senior

  • Remote, Deutschland, Germany · Remote
  • 8 Monate
  • German

Indexed (5 days ago) · refreshed constantly

Start
2026-11
Duration
8 Monate
Work mode
Remote
Contract
Freelance / B2B
Seniority
Senior
Reference
3069376

Required skills

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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