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E Eurowings Digital VERIFIED EMPLOYER

Data Engineer (all genders).

Data Engineering & Architecture Full-Time
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Data Engineer (all genders): our view in 3 lines...

  • The Role:This role is for an experienced data engineer building cloud-based data platforms and pipelines for analytics, reporting and future machine learning use cases.
  • The Person:The person will design, build and maintain data pipelines, improve data quality and performance, support the data platform, and work with analysts, data scientists and business teams.
  • Requirements:The ideal candidate has 7+ years of experience in data engineering, with Scala or Python, strong SQL, Spark, Azure Cloud Platform, Databricks, Kafka, Azure DevOps or GitHub, and Terraform.

About the role

Job overview

Our Data Engineering team plays a critical role in this mission, transforming raw data into high-quality, reliable assets for reporting, analytics, and advanced data products. You’ll be part of a collaborative team of Data Engineers, and supported by a dedicated Data Architect and Program Manager for alignment across tech and business.

What you will 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

Job Title

Data Engineer

What you will need

  • 7+ years of experience in data engineering, ideally with some 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 or Python with strong SQL skills and experience using Spark in production environments
  • Experience with cloud-native architectures, especially Azure Cloud Platform and Databricks
  • 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, Kafka, Azure DevOps/GitHub, Terraform

What you will bring

  • Excellent communication skills with the ability to explain complex technical concepts to both technical and non-technical stakeholders
  • Strong collaboration mindset to work effectively with cross-functional teams including data science, engineering, and business units
  • High attention to detail with a strong focus on data quality, accuracy, and reliability
  • Skilled in stakeholder management, capable of balancing business needs with technical feasibility
  • Self-starter with strong organizational skills and the ability to drive initiatives from concept to completion

We believe in fair and transparent pay. For this position, the annual salary starts at a minimum of €70,000 and depends on your qualifications, experience, and level of responsibility.

Inclusivity

All genders

Workplace type

Hybrid

Published October 7, 2026
Location Köln, Germany
Category Data Engineering & Architecture  
Job Type Full-Time  

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