4 beste Stellen als python engineer for ai (m/f/d) in münchen, by – aktuell auf Personalsuche

Senior Data Engineer (f/m/d)
TrustYou —München
- Homeoffice
- Datenbanken
- SQL
- Künstliche Intelligenz
- Flexible Arbeitszeiten
Direkt bewerben
7 Tage
Infrastructure Engineer (m/f/d)
KINEXON —München
- Vollzeit
- Hybrides Arbeiten
- Azure
- Englisch
- Master
- Flexible Arbeitszeiten
Direkt bewerben
Engineering Manager (m/f/d) - Customer Service Tech
SIXT Germany —München
- Vollzeit
- Hybrides Arbeiten
- Kundenberatung
- Systemdesign
- Java
- Flexible Arbeitszeiten
Direkt bewerben
Junior Portfolio Manager (d/f/m)
Entrix —München
- 55.000 € – 70.000 € pro Jahr
- Vollzeit
- SQL
- Wirtschaft
- Python
Direkt bewerben
9 Tage

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Senior Data Engineer (f/m/d)

TrustYou -
München

Direkt bewerben

Details zur Stelle

vor 7 Tagen

Leistungen

Firmenevents
Flexible Arbeitszeiten

Qualifikationen

CI/CD
Kubernetes
Datenbanken
SQL
Docker
GitHub
Kafka
Künstliche Intelligenz
Python

Vollständige Stellenbeschreibung

Senior Data Engineer

Location: Germany / Spain / Romania (Remote)

The Role

As a Senior Data Engineer, you will drive the end-to-end development of our core data infrastructure through AI-native engineering. Championing our AI DevEx approach, you will orchestrate AI agents to rapidly build, scale, and refactor high-performance systems.

We are looking for a technical expert who takes hands-on ownership of distributed, real-time architectures. Leveraging your deep data engineering expertise, you will construct the robust pipelines that power our next-generation data products.

Tasks

Developing and driving the architecture of complex data systems that prioritize scalability, reliability, and long-term maintainability.
Designing and optimizing production-grade data pipelines, with a primary focus on high-throughput, real-time streaming.
Driving Spec-Driven Development (SDD) using OpenSpec or GitHub Spec Kit to create strict engineering contracts that ensure predictable, high-quality AI code generation.
Orchestrating agentic AI workflows with Claude Code and the Model Context Protocol (MCP) to rapidly build, refactor, and scale our data infrastructure.
Taking full accountability and ownership of system components, working in a self-sufficient manner to solve deep technical challenges.
Implementing rigorous testing and monitoring frameworks to ensure the integrity of mission-critical data.
Mentoring junior engineers and fostering a culture of technical excellence through open feedback and architectural reviews

Requirements

10+ years of professional experience, with 5+ years specifically focused on Data Engineering.
Deep technical expertise with Kafka (including Producers, Consumers, and Stream Processing) for building scalable, real-time architectures.
Strong experience with OLAP databases (expertise in Clickhouse is highly preferred).
Good fluency in Python and SQL for complex data manipulation, optimization, and system building.
Willingness to embrace highly agentic AI-assisted development, specifically using Claude Code to autonomously navigate codebases, execute multi-step engineering tasks, and accelerate development cycles while maintaining high code quality.
Strong hands-on experience with Docker, Kubernetes, and automated CI/CD pipelines.
Significant experience with open-source tools and technologies within the modern data stack.
Excellent communication skills and a desire to work in an environment based on transparency and feedback.
Fluency in English

Benefits

Global & Diverse Team: Work in a collaborative, multicultural environment.
Flexibility: Flexible working hours to help you shape your own work-life balance.
Remote-First: A truly remote-friendly environment.
Growth: Ongoing career development, training, and coaching.
Learning Time: Six dedicated days per year for learning and development.
Culture: Regular team events (in-person and virtual) and location-based social benefits.

AI Transparency & Human Oversight Notice

To help us manage high application volumes, we may use AI tools to assist with administrative tasks, such as parsing CV formats and matching skills to job profiles.

In strict compliance with the EU AI Act and GDPR, we guarantee that:

Human-in-the-Loop: No hiring or rejection decisions are made by algorithms alone. A human recruiter reviews every recommendation and retains final decision-making power.
Fairness & Privacy: Our tools are strictly vetted for data security and to prevent algorithmic bias.

TrustYou is an equal-opportunity workplace. We celebrate diversity and are committed to creating an inclusive environment for all employees regardless of gender, background, religion, orientation, age, or ability.

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python engineer for ai (m/f/d) Jobs in münchen, by

Senior Data Engineer (f/m/d)

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Engineering Manager (m/f/d) - Customer Service Tech

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