
Data Engineer (m/f/d)
Redcare Pharmacy
Posted about 2 hours ago
Job Description
About your tasks:
- Build and enhance scalable data pipelines and support the evolution of our data architecture
- Work with cloud-native technologies (Azure, Databricks) to process and transform large datasets
- Collaborate with different teams to understand data needs and contribute to impactful solutions
- Apply and learn CI/CD practices in data projects to improve workflows and deployments
- Support improvements in performance, scalability, and data quality
Qualifications
About you:
- First experience (approx. 2+ years) in data engineering, software development, or a related field
- Hands-on exposure to cloud platforms (Azure or similar) and big data tools like Spark or Databricks
- Solid knowledge of SQL and at least one programming language (e.g., Python, Scala, Java)
- You enjoy working in a collaborative, learning-focused environment and growing your skills in modern data technologies
Additional Information
About your benefits:
In order to provide you with the best possible support for your individual needs - whether it‘s living a healthy life, having enough time for your family, or developing your skills - we offer a wide range of different, site-specific benefits.
- Welcome days: We want you to feel at home with us from the very first day. Therefore, we welcome you with our comprehensive onboarding program.
- Work from Home: If your job does not require you to be present in the office, we can arrange the place you work from individually - even for up to 20 days a year anywhere in the EU.
- Personal development: Grow! We support and encourage your individual development through various in- and external trainings.
- Mental Health: Get quick and professional help from psychologists of nilo if you feel overwhelmed in private or professional life. Anonymous and free of charge.
- Employee discount: You get a 10 % employee discount on all over the counter, beauty and personal care products in our online store & 20 % discount on nu3.
