Staff Data Platform Engineer (fmd)

Apaleo; München; Vor Ort; EUR 65.000 - 85.000; Vollzeit

Zusammenfassung

A leading hospitality tech company is seeking a Data Architect to shape their AI-driven data warehouse platform. You will lead architecture design, implement data pipelines, and ensure best practices in data management. The ideal candidate has 5+ years in SaaS analytics platforms and experience with Python, C#, SQL, and cloud tools. Join a diverse team in Munich where your contributions directly impact innovation in hospitality tech.

Leistungen

Flexible working hours

30 Days of vacation

Free public transportation

Access to wellness programs

Engaging team events

Fair compensation

Qualifikationen

• 5 years building and scaling data warehouse or SaaS analytics platforms.
• Strong background in data architecture and backend engineering.
• Hands-on experience in Python, C# / .NET, SQL, and cloud-native tools.
• Ability to collaborate across teams to develop data-centric solutions.
• Strong communication and leadership skills.

Aufgaben

• Lead the architecture design of Apaleo’s data warehouse platform.
• Build modular data layers connecting structured and unstructured data.
• Design and implement high-performance data pipelines.
• Develop reporting APIs for analytics integration.

Kenntnisse

Data architecture

Backend engineering

ETL orchestration

Python

C# / .NET

SQL

AWS

GCP

Azure

AI technologies

Jobbeschreibung

Overview

Join Apaleo and Shape the Future of Hospitality Tech! At Apaleo were revolutionising the hospitality industry with our AI-first property management platform giving businesses the power to build a tech ecosystem that enhances both guest experiences and staff efficiency. With seamless integrations to hundreds of apps through the Apaleo Store our platform simplifies operations elevates the guest journey and drives revenue growth.

What You'll Be Up To

• Lead the architecture design of Apaleo’s next-gen AI-driven data warehouse platform enabling real-time analytics, automation, and intelligent recommendations.
• Build modular data layers that connect structured and unstructured data, empowering AI agents to autonomously process insights and optimize decisions.
• Partner with Business Analysts and Product teams to translate business problems into scalable intelligent data solutions.
• Design and implement high-performance data pipelines that feed advanced AI / ML models ensuring data accuracy, freshness and accessibility across the organization.
• Develop smart reporting APIs for hotel property- and chain-level analytics allowing seamless integration from third-party apps through the Apaleo Store.
• Ensure best practices in data architecture, ETL and cloud-native development.

What Youll Bring to the Team

• 5 years building and scaling data warehouse or SaaS analytics platforms ideally within high-growth tech environments (e.g. e-commerce, travel or delivery tech).
• Strong background in data architecture, backend engineering and ETL orchestration with hands-on experience in Python, C# / .NET (or Java), SQL and cloud-native tools (AWS, GCP or Azure).
• Experience / strong interest in AI-enabling architectures.
• Understanding of API-first ecosystems and how to build multi-tenant SaaS data infrastructures that scale with business complexity.
• Ability to collaborate cross-functionally and translate abstract business problems into data-centric solutions.
• Passion for emerging AI technologies (e.g. vector databases, autonomous data agents, GenAI integrations).
• Strong communication and leadership skills to influence both technical and business stakeholders.
• Based in Munich or Berlin, Germany (or willing to relocate).

What We Offer

• A Diverse & International Team Work alongside passionate experts from various disciplines and backgrounds fostering a truly global perspective.
• Flat Hierarchy & Flexible Structure Enjoy autonomy and ownership in an environment that values collaboration over rigid hierarchies.
• A Key Role in a Fast-Growing Startup Be part of one of the most promising international startups in the hospitality industry right in the heart of Munich.
• Fair & Transparent Compensation Benefit from a clear peer review system and career progression plan designed to reward your growth.
• Flexible Working Style We support flexible hours and remote work depending on the role.
• Engaging Team Events Join us for cocktail club nights team dinners meet-ups and the legendary Oktoberfest celebrations!
• 30 Days of Vacation Recharge and enjoy a generous annual leave policy.
• Free Public Transportation in Munich Weve got your commute covered!
• Access to EGYM Wellness Pass enjoy a variety of fitness and wellness studios to support your physical and mental well-being

How you make an impact

joining Apaleo : Joining Apaleo means more than just taking on a role—it's about driving real change in the hospitality industry. Your contributions will directly shape our innovative platform influence company-wide decisions and help redefine the future of hospitality tech. At Apaleo your voice matters your ideas are valued and your impact is tangible. Be part of a team where your work fuels progress collaboration sparks innovation and growth is a shared journey.

We are proud to be an Equal Opportunity and Affirmative Action Employer committed to fostering a diverse, inclusive and welcoming workplace. We encourage applications from individuals of all backgrounds regardless of race, color, religion, gender identity or expression, sex, national origin, age, marital status, disability or any other characteristic protected by applicable law. Your personal data will be handled with the utmost care and in compliance with GDPR and relevant data protection regulations. We celebrate differences and believe that diversity enriches our team and drives innovation.

Required Experience

Staff IC

Key Skills

Laboratory Experience, Vendor Management, Design Controls, C / C++, FDA Regulations, Intellectual Property Law, ISO 13485, Research Experience, SolidWorks, Research & Development, Internet Of Things, Product Development

Employment Type

Full-Time

Experience

years

Vacancy

1