Data Engineer (Azure)

TL;DR

Data Engineer (Azure/Spark): Developing and improving scalable data pipelines and architectures to enable data-driven insights in digital healthcare with an accent on cloud-native processing and data transformation. Focus on building high-performance pipelines using Databricks and Spark, optimizing data quality, and implementing CI/CD workflows.

Location: Cologne, Germany (Hybrid)

Company

Europe’s No.1 e-pharmacy providing digital healthcare services powered by innovation and data.

What you will do

• Build and enhance scalable data pipelines and support the evolution of data architecture.
• Process and transform large datasets using cloud-native technologies like Azure and Databricks.
• Collaborate with cross-functional teams to translate data needs into impactful technical solutions.
• Apply and integrate CI/CD practices into data projects to improve deployment workflows.
• Drive continuous improvements in system performance, scalability, and overall data quality.

Requirements

• Approximately 2+ years of experience in data engineering or software development.
• Hands-on exposure to cloud platforms (Azure or similar) and big data tools like Spark or Databricks.
• Solid knowledge of SQL and proficiency in at least one language: Python, Scala, or Java.
• Ability to thrive in a collaborative, learning-focused environment.

Culture & Benefits

• Comprehensive onboarding program to ensure a smooth start.
• Flexible work-from-home arrangements, including the option to work from anywhere in the EU for up to 20 days a year.
• Support for individual growth through various internal and external training opportunities.
• Free and anonymous professional mental health support via nilo.
• Employee discounts on over-the-counter, beauty, and personal care products.