Data Engineer

Eurowings Digital GmbH; Köln; Hybrid; EUR 63,000 - 77,000; Full time

Job summary

Eurowings Digital GmbH in Köln is seeking a seasoned Data Engineer to design, build, and maintain scalable data pipelines for analytics and ML. You will work on a cloud-native platform in Azure and Databricks, collaborating with data analysts and data scientists to deliver data products.

Candidates should have 7+ years in data engineering, strong SQL, Python/Scala, Spark, and hands-on Azure/Databricks experience, plus Kafka and Terraform basics.

Qualifications

• 7+ years in data engineering with analytics engineering exposure.
• Experience building ETL/ELT pipelines and data models.
• Strong SQL plus Python or Scala, with Spark in production.
• Hands-on cloud-native architecture on Azure and Databricks.

Responsibilities

• Design, build, and maintain scalable data pipelines for analytics and ML.
• Contribute to the Azure and Databricks based data platform.
• Collaborate with Data Analysts and Data Scientists to create data products.
• Support the internal data platform and Data Platform Engineer.
• Continuously improve data quality, documentation, and performance.
• Champion DataOps: CI/CD, monitoring, testing, and IaC.

Skills

Data engineering

ETL/ELT

SQL

Python

Scala

Spark

Data modeling

DataOps

Cloud: Azure

Databricks

Tools

Azure Cloud Platform

Databricks

Kafka

Terraform

Azure DevOps/GitHub

Job description

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. Therefore, we are continuously working passionately on providing diverse and attractive offers on our online booking platforms Eurowings & Eurowings Holidays and mobile Apps to empower our customers with relevant information and smart digital services throughout their travel experience.

ABOUT THE JOB

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'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

• 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

WHAT YOU'LL 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

ABOUT EUROWINGS DIGITAL

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. Therefore, we are continuously working passionately on providing diverse and attractive offers on our online booking platforms Eurowings & Eurowings Holidays and mobile Apps to empower our customers with relevant information and smart digital services throughout their travel experience.

ABOUT THE JOB

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'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

• 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'LL 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.