KafkaSparkAIMLData EngineeringAnalyticsDatabricksSaaSCRMCI/CDMentoringRemote Work
About this role
Role Overview
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.
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.
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.
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.
Define engineering standards for the data team — testing, CI/CD for pipelines, documentation, data contracts — and mentor data engineers toward them.
Requirements
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.
Tech Stack
Kafka
Spark
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.