Senior Data Engineer – AI-Discovery Pilot Project

Project overview

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A company in the rail infrastructure/mobility sector is looking for a Senior Data Engineer as part of an AI pilot project to develop and operate the underlying data pipelines and cloud infrastructure.

Requirements

• Practical experience in conception, development, and go-live of AI systems and LLM solutions including vector databases and MLOps/Observability processes (e.g., AWS Bedrock)
• Several years of experience in software and backend development with Python, REST APIs (e.g., FastAPI), and databases
• Cloud & DevOps experience: AWS infrastructure, containerization (Docker), CI/CD, Infrastructure-as-Code (Terraform or AWS CDK/CloudFormation)
• Experience in developing production-ready web interfaces with JavaScript/TypeScript based on Figma wireframes
• Experience with large data volumes as well as cleaning, transforming, and preparing data with Python and SQL
• Practical experience in agile software development (Scrum/Kanban/SAFe) including structured technical documentation

Nice to have

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• Project experience in the context of railway transport or mobility companies
• Experience in implementing IT security standards in enterprise environments (e.g., OIDC/SSO like Azure AD/Entra ID, Secrets Management, TLS/CORS, GDPR compliance)

Project details

10/15/2026

6 months (option to extend)

Remote/On-Site: Remote

Utilization: 100%

YOUR CHALLENGE:

YOUR TALENTS:

• Implementation of data pipelines for ingesting, processing, and providing structured and unstructured data for a pilot application in an AWS environment
• Implementation of tests, validation mechanisms, and monitoring functions for data pipelines and target application
• Analysis and resolution of technical errors (DevOps)
• Setup, further development, and operation of CI/CD pipelines for automated deployment of software components
• Execution of deployments, version management, and release support for the technical solution components
• Configuration and optimization of cloud and platform resources for stable and performant operation
• Implementation of non-functional requirements regarding logging, monitoring, traceability, and operational security
• Creation and maintenance of technical documentation on data flows, pipelines, deployments, and operational processes
• Close coordination with AI/Data Science colleagues for productive deployment and integration of developed models
• Start: flexible
• Location: DE
• Languages: German

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