Data Engineer (all genders)

Eurowings Holidays GmbH; Köln; Vor Ort; EUR 65.000 - 85.000; Vollzeit

Zusammenfassung

A leading travel service provider in Germany is seeking an experienced Data Engineer to design and build reliable data pipelines. The ideal candidate will have over 5 years of experience in data engineering, proficiency in Scala and Spark, and a strong understanding of cloud-native architectures. This role offers the opportunity to collaborate with Data Analysts and Data Scientists to enhance analytics and reporting within a modern data platform.

Qualifikationen

• 5+ years of experience in data engineering.
• Hands-on exposure to analytics engineering practices.
• Deep understanding of data pipeline orchestration.

Aufgaben

• Design, build, and maintain data pipelines.
• Contribute to a cloud-based data platform.
• Collaborate with Data Analysts and Scientists.

Kenntnisse

Data pipeline orchestration

Distributed processing

Building resilient ETL/ELT systems

Scala

Spark

Cloud-native architectures

Streaming data frameworks

SQL

Python

Tools

Azure Cloud Platform

Databricks

Azure DevOps

GitHub

Terraform

Jobbeschreibung

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

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