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Data Engineer with Python Skills

Original title: Data Engineer mit Python Kenntnissen (m/w/d)

Westhouse Consulting GmbH · Remote/ Frankfurt, Deutschland, Germany · Hybrid · SENIOR

  • Remote/ Frankfurt, Deutschland, Germany · Hybrid
  • 36 Monate
  • German

Indexed (today) · refreshed constantly

Start
2026-11
Duration
36 Monate
Work mode
Hybrid
Contract
Freelance / B2B
Seniority
SENIOR
Reference
3071613

Required skills

Nice to have:HRDFDINONeTExGTFSAPIsData QualityData TraceabilityScalabilityMaintainabilitySecurityGovernance

Languages: German

Job description

We are looking for a Senior Data Engineer with extensive experience in IT projects, data architecture, and Python for a full-time, long-term role. The position involves analyzing and documenting technical landscapes, developing solution architectures, and optimizing data processing.

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.

We are currently looking for a

Data Engineer with Python Skills

Framework Information

Reference:180950

Responsibilities

Interested?

Interested? We look forward to receiving your comprehensive CV in electronic form.

Your contact person:

Nicole Biyik (née Wisniewski)

  • Analysis and structured documentation of the relevant technical starting situation, system landscape, data flows, interfaces, and dependencies
  • Analysis and technical evaluation of business requirements regarding technical implications, feasibility, integration needs, and non-functional requirements
  • Development and comparative evaluation of technical solution and architecture variants for MVP, target state, and later expansion stages
  • Development of technical architecture recommendations for relevant platform, integration, data storage, interface, and operational architectures
  • Creation of technical requirements and evaluation criteria for the make-or-buy decision
  • Evaluation of potential standard solutions and custom development options based on transparent, comprehensible criteria
  • Conception of API-based integrations as well as technical data flows between internal and external systems
  • Development and documentation of technical guardrails and recommendations, considering data quality, traceability, scalability, maintainability, security, and existing governance
  • Identification, evaluation, and documentation of technical risks and dependencies, as well as the development of action options and recommendations for suitable risk management measures
  • Preparation, execution, and documentation of technical workshops and architecture coordination meetings
  • Creation and documentation of technical work results, especially architecture documents, evaluation matrices, technical concepts, decision proposals, and management presentations
  • Execution of technical reviews of concepts and solution approaches, as well as documentation of review results and recommendations
  • Documentation of architecture decisions, assumptions, evaluation criteria, and technical recommendations to ensure their traceability

Project details

Remote/ Frankfurt

Start Date:11.11.2026

Working Hours:Full-time

31.12.2029

Your Qualifications

  • Several years of experience in IT projects with a focus on Data Engineering
  • Senior (> 5 years of experience)
  • Experience with timetable data formats e.g. HRDF, DINO, NeTEx or GTFS
  • 1 reference Analysis of data and system architectures
  • Intermediate (> 3 years of experience)
  • Experience in translating business requirements into technical processing concepts
  • Experience and practical knowledge in Python for data analysis, transformation, and validation
  • Experience in performance analysis and optimization of data processing, e.g. for database queries.
  • Experience in the mobility and transport environment, e.g. in rail transport, timetable data or passenger information
  • Very good SQL skills including knowledge of procedural extensions e.g. PL/pgSQL.
  • Start: 2026-11
  • Duration: 36 Monate
  • Remote: hybrid
  • Location: Remote/ Frankfurt, Deutschland, DE
  • Languages: German

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