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

Senior Analytics Engineer (m/f/d)
Xempus Deutschland GmbH —München
- Vollzeit
- Hybrides Arbeiten
- SQL
- Python
- Analytik
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Principal AI Architect (m/f/d)
Futurice —München
- Hybrides Arbeiten
- Azure
- Doktorat
- Informatik
Senior / Staff Cloud Engineer (d/f/m)
Entrix —München
- 95.000 € – 135.000 € pro Jahr
- Vollzeit
- AWS
- Scripting
- Softwareentwicklung
Direkt bewerben
GTM Engineer (f/m/d)
osapiens —München
- Vollzeit
- Hybrides Arbeiten
- SQL
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Direkt bewerben
Senior IT Auditor - Technology, DATA and AI (m/f/d) at Allianz SE
Allianz —München
- Vollzeit
- Azure
- Informatik
- Master
Lead Kernel Engineer/Architect (m/f/d)
EPAM Systems, Inc. —München
- Hybrides Arbeiten
- C++
- Bachelor
- Ohne Hochschulabschluss
(Senior) Prototyping Engineer (m/f/d)
Quantum- Systems GmbH —Gilching
- Vollzeit
- CAD
- C++
- Bachelor
- Flexible Arbeitszeiten
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CTPM Principal (m/f/d) – Germany (Ingolstadt/ Unterschleissheim)
Qualcomm —München
- Doktorat
- Informatik
- Java
Senior Unreal Technical Artist (m/f/d)
welevel GmbH —München
- Vollzeit
- C++
- Scripting
- Python
Technical Sales Engineer (m/f/d)
Digi International GmbH —Ismaning
- Homeoffice
- Vertrieb
- Bachelor
- Mit Reiseanteil
Direkt bewerben
(Senior) IT / System Administrator - Operations & Security (d/f/m)
Entrix —München
- 70.000 € – 90.000 € pro Jahr
- Vollzeit
- Windows
- Master
- Bachelor
Direkt bewerben
(Senior) Frontend Engineer (m/f/d) - RTLS System
KINEXON —München
- Vollzeit
- Hybrides Arbeiten
- Informatik
- DevOps
- Master
- Flexible Arbeitszeiten
Direkt bewerben
Team Lead Tech / Engineering Manager (m/f/d)
Peter Park System GmbH —München
- Vollzeit
- AWS
- Projektmanagement
- Softwareentwicklung
- Homeoffice-Möglichkeit
- Flexible Arbeitszeiten
Infrastructure Engineer (m/f/d)
KINEXON —München
- Vollzeit
- Hybrides Arbeiten
- Azure
- Englisch
- Master
- Flexible Arbeitszeiten
Direkt bewerben
Senior Full Stack Engineer - Vue.js, NestJS & TypeScript (m/f/d)
Peter Park System GmbH —München
- Vollzeit
- Englisch
- AWS
- Kontinuierlicher Verbesserungsprozess
- Homeoffice-Möglichkeit
- Flexible Arbeitszeiten
Design Evaluation Engineer
Analog Devices —Ismaning
- Vollzeit
- Englisch
- Ohne Hochschulabschluss
- Mit Reiseanteil
1 Tag
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
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10 Tage

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Senior Analytics Engineer (m/f/d)

Xempus Deutschland GmbH
München

Direkt bewerben

Details zur Stelle

Vollzeit

Leistungen

Firmenfahrrad-Leasing
Kostenfreies oder vergünstigtes Deutschland-Ticket

Qualifikationen

CI/CD
Git
Tableau
SQL
Redshift
Geschäftsanforderungen
Python
Analytik

Vollständige Stellenbeschreibung

Who we are

Xempus is the leading European group pension, life and health insurance platform. We seamlessly connect insurers, insurance agents, corporates and their systems in an automated and customer-centric manner. Using standardized interfaces and structured data, we operate the central infrastructure for all customer-centric processes and enable agentic AI across pension, life and health insurance.
Since 2007, we have been constantly working to drive the digitalization of the insurance industry. Here at Xempus, we believe that together we can make a difference – join us and together we create a more secure future for everyone!

The role

We’re looking for a Senior Analytics Engineer (m/f/d) who combines deep technical expertise with a strategic mindset. In this role, you’ll have full ownership to define standards and embed a modern data culture across the organization.
Your impact: turn raw data into trusted insights that drive key business decisions and set the foundation for scalable, future-proof analytics.

Responsibilities:

Design, develop, and maintain dbt-based transformation pipelines
Build robust, scalable, and well-documented data models for BI tools and data products to improve business performance
Define and implement best practices for version control, testing, performance optimization, and documentation
Ensure data quality and consistency throughout the lifecycle, including comprehensive test coverage. Collaborate with analysts and data users to make data easy to use, trustworthy, and fast to access
Collaborate with Product, Finance, Engineering, and Operations to translate business metrics into reliable, scalable data models
Align dbt transformations with our Snowflake-based data platform in partnership with Engineering
Create dashboards and reports that turn models into actionable insights for stakeholders
Champion data culture by embedding data-driven thinking across the organization

Tech Stack you will work with:

Transformation / Modeling: dbt (core or Cloud)
Cloud Data Platform: Snowflake (currently in migration phase)
BI / Consumption: Tableau (or similar)
Version Control: Git
Workflow & Orchestration: Airflow / Dagster / Prefect
Programming: SQL (expert level), Python
Testing & QA: dbt tests, Great Expectations, or similar frameworks

What we are looking for

At least 6 years of experience in data engineering, analytics engineering, or advanced BI development role
Proven hands-on experience with dbt in a production environment
Deep expertise in SQL and dimensional/semantic modeling (e.g., Kimball, DRY modeling principles)
Experience working with Snowflake or another modern cloud data platform (e.g., BigQuery, Redshift)
A track record of building clean, modular, reusable data pipelines
Strong understanding of data testing, CI/CD, documentation, and performance tuning
Ability to translate ambiguous business requirements into scalable data models
Passion for building a modern data culture and driving data-driven decision-making across the organization
A builder mindset: excited to shape foundational data architecture in a growing environment and influence long-term data strategy
Excellent communication and stakeholder management skills across technical and non-technical teams

Why Xempus

Shape the Future: Help reinvent intelligent automation of occupational pensions at one of Germany’s leading insurtechs
Maximum Freedom: Creative ownership and fast decision - in a dynamic, innovative environment
Top Contribution: 100% employer contribution – we double every euro you invest in your occupational pension scheme
Health Coverage: Company health insurance with €600 annual reimbursement for various medical services
People-Driven Culture: Genuine cross-departmental teamwork, open doors, and collaboration at eye level
Flexible Working: Hybrid working for maximum freedom and work-life balance – learn more here
Learn & Grow: Annual development budget, personal AI coaching, and transparent career paths with clear growth opportunities
Stay Active & Mobile: Health benefits including job bike / EGYM Wellpass or traveling easily with the Deutschlandticket
Extra Time Off: 30 days paid vacation – plus the option to take additional unpaid leave
Workation Option: Up to 30 days per year to combine work and travel

Contact

Does that sound like your kind of job? Then apply now!

If you have any questions, difficulties uploading your data, or require any assistance with the recruitment process, Marta Von Deimling ([email protected]) is happy to help. Please be sure to submit your application using the application form - unfortunately, we cannot process applications sent by email.

We’d love to hear from you!

About us

At XEMPUS, +180 people work on a very special vision: We make the future plannable. We have been shaping the digital transformation in the insurance industry since 2007. We know what our successful future depends on: our team, the people behind the name XEMPUS.
We have ambitious goals. To achieve those goals, we need you!

We are an equal opportunity employer and ensure that no applicant is subject to less favourable treatment on the grounds of gender, gender identity, marital status, race, colour, nationality, ethnicity, age, sexual orientation, socio-economic, responsibilities for dependants, physical or mental disability. Any hiring decision are made on the basis of skills, qualifications and experiences.

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

Senior Analytics Engineer (m/f/d)

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Senior IT Auditor - Technology, DATA and AI (m/f/d) at Allianz SE

Lead Kernel Engineer/Architect (m/f/d)

(Senior) Prototyping Engineer (m/f/d)

CTPM Principal (m/f/d) – Germany (Ingolstadt/ Unterschleissheim)

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Technical Sales Engineer (m/f/d)

(Senior) IT / System Administrator - Operations & Security (d/f/m)

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