Data Engineer

Vor 6 Tagen

Köln, Nordrhein-Westfalen, Deutschland Eurowings Holidays Vollzeit 90.000 € - 120.000 € pro Jahr

As Data Engineer (all genders), you play a critical role in our mission, transforming raw data into high-quality, reliable assets for reporting, analytics and advanced data products.

FACTS

Location

Cologne

Employment level

Direct entry

Function

IT

Working time

Full time

Tasks

What you'll do

  • Design, build, and maintain reliable and scalable data pipelines to support analytics, reporting, and future ML use cases
  • Contribute to our modern cloud-based data platform in Azure and Databricks
  • Collaborate closely with Data Analysts and Data Scientists to co-create data products
  • Support and contribute to our internal data platform alongside our Data Platform Engineer
  • Continuously improve data quality, documentation, and performance
  • Champion best practices in DataOps: CI/CD, monitoring, alerting, testing, and infrastructure-as-code

Behind the scenes

We are dreamers, doers, and enthusiasts...

Our mission is to enable our customers on leisure and/or business travel to enjoy a seamless travel booking experience from the tip of their fingers.

Requirements

What you'll need

  • 5+ years of experience in data engineering, with hands-on exposure to analytics engineering practices (e.g., data modeling, transformation logic)

  • Deep understanding of data pipeline orchestration, distributed processing, and building resilient, testable ETL/ELT systems

  • Expertise in Scala and experience using Spark in production environments

  • Experience with cloud-native architectures
  • Familiarity with streaming data frameworks (Kafka, Event Hubs, or similar)
  • Solid grasp of data modeling concepts, especially in the context of analytics and reporting (conceptual/logical/physical models)
  • Languages & Frameworks: Scala, Python, SQL, Spark
  • Cloud & Infra: Azure Cloud Platform, Databricks, Azure DevOps/GitHub, Terraform

What you'll bring

  • Excellent communication skills with the ability to explain complex technical concepts
  • Strong collaboration mindset to work effectively with cross-functional teams
  • High attention to detail with a strong focus on data quality, accuracy and reliability
  • Strong organizational skills and the ability to drive initiatives from concept to completion

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