Data Engineer (m/f/d)

TL;DR

Data Engineer (Azure/Databricks): Build and enhance scalable data pipelines and architectures that power Data & AI initiatives in digital healthcare with an accent on cloud-native technologies and big data processing. Focus on transforming large datasets, collaborating on data needs, and improving performance, scalability, and data quality through CI/CD practices.

Location: Cologne office (hybrid: work from home possible, up to 20 days/year anywhere in the EU)

Company

Europe’s No.1 e-pharmacy powered by passionate teams and cutting-edge innovation, striving to ensure every human has access to health.

What you will do

• Build and enhance scalable data pipelines and evolve data architecture
• Process and transform large datasets using cloud-native technologies like Azure and Databricks
• Collaborate with teams to understand data needs and deliver impactful solutions
• Apply CI/CD practices to improve data project workflows and deployments
• Drive improvements in performance, scalability, and data quality

Requirements

• Approx. 2+ years experience in data engineering, software development, or related field
• Hands-on exposure to cloud platforms (Azure or similar) and big data tools like Spark or Databricks
• Solid SQL knowledge and proficiency in at least one programming language (Python, Scala, Java)
• Enjoy collaborative, learning-focused environment to grow in modern data technologies

Culture & Benefits

• Comprehensive onboarding with welcome days to feel at home from day one
• Flexible work from home arrangements tailored to your needs
• Personal development support through in- and external trainings
• Mental health support via anonymous psychologists at nilo
• Employee discounts: 10% on over-the-counter, beauty, and personal care products; 20% on nu3