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.
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.
Requirements
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)
Tech Stack
Python
Spark
SQL
Benefits
Work with real AI technology at international level — not as a pilot project, but as our business model.
Genuine room to shape things.
Your ideas do not land in a suggestion box; they land in the next iteration.
A short path to the management team.
Decisions take days, not committee rounds.
Growth you are part of.
We are building the company’s next chapter — with roles, responsibility and prospects that did not exist a year ago.
Leipzig as your primary base , with regular time in the office and flexible remote work.
Hybrid models are everyday practice here, not the exception.
Permanent contract, full-time.
Performance bonuses for demonstrable results.
Multi-day team events in places that are actually fun.