Data Engineer (all genders)

Everything Rocket does — AI extraction, pricing intelligence, customer dashboards, business reporting — runs on data that you make trustworthy. You will build and operate the pipelines that pull sales data out of heterogeneous hotel systems (PMS, CRM, email) and land it, cleaned and modeled, in our Databricks lakehouse.

The core of the job: Hotel data is famously messy: every property configures its PMS differently, legacy systems export inconsistent formats, and the same booking looks different in three systems. Making that reliable at scale is the job.

• Ingestion pipelines. Build and maintain pipelines from customer systems (SIHOT, Opera, Guestline, Salesforce, email) into our bronze layer — batch and streaming, APIs and file-based, resilient to the quirks of each source.
• Data modeling. Develop the silver/gold layers of our Medallion architecture: clean, well-documented models of requests, offers, bookings, and revenue that serve analytics, dashboards, and ML features alike.
• Data quality and observability. Implement validation, monitoring, and alerting so broken source data is caught before it reaches a customer dashboard or a pricing model.
• Analytics enablement. Support customer-facing performance reports and internal KPI dashboards — working with Product and customer teams to turn data into insight hotels act on.

What success looks like:

• 3 months: You own several production pipelines end-to-end and have measurably improved their reliability.
• 12 months: Onboarding a new hotel group’s data is a repeatable process, not a project — and data quality issues are caught by your systems, not by customers.

• 2–4 years as a data engineer or in a strongly data-focused engineering role
• Strong SQL and Python
• Hands-on Databricks and Spark experience — this is a hard requirement, our entire platform runs on it
• Hands-on experience building production pipelines (batch and/or streaming)
• Pragmatic approach to messy real-world data
• Strong English (B2–C1), German (min. B2)
  

• Medallion / lakehouse architecture experience
• API-based ingestion from enterprise systems (CRM, ERP, PMS)
• dbt, Delta Live Tables, or similar transformation tooling
• BI/dashboard experience (Chart.js, Power BI, or similar)

We are the technology company rethinking group and event sales in the hotel industry. What today runs via inbox, Excel, and phone, our platform Rocket turns into a seamless, AI-driven process — from the initial inquiry to the signed contract. European hotel groups are already using it for their group sales.
This means for you: You don't work in spite of AI, but with it. Those who start with us provide feedback that influences product decisions — and eventually understand why one prompt works better than another.
And because we are growing rapidly, many things are still in development here. Some answers are honestly, "we are still building that." That's precisely where the opportunity lies: you'll find freedom instead of established structures, and what you build here will bear your mark.

What we offer

• Work with real AI technology at an international level — not as a pilot project, but as a business model.
• Real scope for design. Your ideas don't end up in an idea box, but in the next iteration.
• Short paths to management. Decisions are made in days, not through committee loops.
• Growth that you grow with. We are building the next phase of the company — with roles, responsibility, and perspectives that didn't exist a year ago.
• Main place of work Leipzig with regular office presence and flexible home office share. Hybrid models are our lived practice, not the exception.
• Permanent contract, full-time.
• Performance bonuses for demonstrable successes.
• Multi-day team events in locations that are actually fun.

1. Introductory Interview — we get to know each other, you'll learn where we stand and where we're going.
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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