Senior Data Engineer (all genders)

Where the Data Engineer builds pipelines, you own the platform. Rocket’s data layer has to scale from a handful of European hotel groups to enterprise chains across two continents — multi-tenant, reliable, cost-efficient, and fast enough to serve both real-time product features and ML workloads.

You will set the architecture, the standards, and the roadmap for our Databricks lakehouse, and raise the bar for everyone working on data at MICE DESK.

• Data platform architecture. Own the design of our lakehouse (Medallion architecture on Databricks): tenancy model, storage layout, orchestration, streaming vs. batch strategy, cost management, and the evolution path as customer volume grows 10x.
• Scalable multi-tenant ingestion. Design the ingestion framework that makes onboarding a new hotel group a configuration task, not an engineering project — across wildly heterogeneous PMS/CRM sources and both EU and US data residency requirements.
• ML and product data serving. Build the interfaces between the data platform and its consumers: feature pipelines for our ML models, low-latency serving for in-product analytics, and the contracts that keep both stable.
• Standards and mentorship. Define engineering standards for the data team — testing, CI/CD for pipelines, documentation, data contracts — and mentor data engineers toward them.

What success looks like:

• 3 months: You’ve audited the current platform, set the target architecture, and shipped the first structural improvement.
• 12 months: The platform onboards new enterprise customers in days, serves ML and product reliably, and the data team operates at a visibly higher standard.

• 5+ years in data engineering, including architecture ownership of a production data platform
• Deep, hands-on Databricks and Spark expertise
• Proven design of multi-tenant or large-scale data systems
• Strong software engineering practice: testing, CI/CD, infrastructure-as-code for data
• Experience mentoring engineers or leading data workstreams
• Strong English (B2–C1), German (B2)

Nice to have, not required:

• Lakehouse/Medallion architecture at scale
• Streaming architectures (Kafka, Delta Live Tables, structured streaming)
• ML platform / feature store experience
• EU data residency / GDPR-aware architecture experience
• B2B SaaS background

We are the technology company rethinking group and event sales in the hotel industry. What today runs via inbox, Excel, and telephone, our platform Rocket turns into a seamless, AI-supported process — from the first inquiry to the signed contract. European hotel groups already manage their group sales through it.
This means for you: You don't work despite AI, but with it. Anyone who starts with us provides feedback that flows into product decisions — and eventually understands why one prompt works better than another.
And because we are growing fast, many things here are still in development. The honest answer to some questions is “we are currently building that”. That's exactly where the opportunity lies: You'll find freedom instead of finished structures, and what you build here will bear your signature.

What we offer

• Working with real AI technology at an international level — not as a pilot project, but as a business model.
• Real creative freedom. Your ideas don't go into an idea box, but into the next iteration.
• Short communication channels to management. Decisions are made in days, not in committee loops.
• Growth that you grow with. We are currently building the next phase of the company — with roles, responsibilities, and perspectives that didn't exist a year ago.
• Main workplace Leipzig with regular office presence and flexible home office portion. Hybrid models are lived practice with us, not the exception.
• Permanent contract, full-time.
• Performance bonuses for demonstrable successes.
• Multi-day team events in places that are actually fun.

1. Intro Interview — we get to know each other, you learn where we stand and where we want to go.
2. Case Study or Technical Study, depending on the role — a real problem from our daily work that we go through together.
3. Interview with your future manager and, depending on the position, with our founders.

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