CareerPlan

Data Engineer

Germany - MunichRemoteFull-time2026-09-23 → 2026-11-10
Hybrid

Core

Design and build scalable data infrastructure to ingest, transform, and store high-volume guest data for analytics and machine learning pipelines.

Role type

Senior Data Engineer (Infrastructure & Pipelines)

Builds

Scalable data pipelines, streaming infrastructure, and reusable data resources for a hospitality engagement platform.

Domain

Hospitality / Data Engineering / Machine Learning Infrastructure

Deliverable

production ML models

Required skills

Distributed data processing (PySpark), Cloud infrastructure (AWS, ECS, Docker), Data orchestration, Streaming pipelines, AI tooling fluency, System design

Preferred skills

Experience owning production systems at scale, Quantitative performance estimation

Technologies

AWS, PySpark, ECS, Docker, RDS

Responsibilities

Design and build scalable data pipelines for ingestion, transformation, and storage; Develop tools and abstractions for analytics and ML; Implement data orchestration and streaming pipelines; Create reusable data resources and design patterns.

Seniority

Senior, hands-on IC