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Redcare Pharmacy, Europe’s No.1 e-pharmacy, seeks a Data Engineer to design and optimize robust data pipelines and architectures that enable Data & AI models to deliver transformative insights. You will work across Azure, AWS or GCP, Databricks, and modern lakehouse tech to support high‑scale datasets and analytics initiatives.
The role requires 5+ years in data engineering, strong Python and SQL skills, and experience with DBT, CI/CD as well as distributed data processing systems.
Описание: As Europe’s No.1 e-pharmacy Redcare Pharmacy is powered by passionate teams and cutting‑edge innovation. We strive to create a healthy collaborative work environment where every employee feels valued and inspired to contribute to our vision “Until every human has their health”. If you’re seeking a career that offers purpose and aligns with your values join us and start your #Redcareer today. Are you ready to take on the challenge of building robust data solutions for cutting‑edge Data & AI initiatives? As a Data Engineer, you’ll be at the forefront of developing and optimizing data pipelines and architectures that enable Data & AI models to deliver transformative insights. Join us to shape the future of digital healthcare with data-driven innovation.
You bring 5+ years of experience in Data Engineering, with expertise in Data Platforms, Data Modeling, and building production‑grade data pipelines. You have strong Python and SQL skills and know how to translate business requirements into scalable technical solutions. You have experience designing and supporting distributed data processing systems such as Databricks and are comfortable working with large‑scale datasets, data lakes, data warehouses, and ETL/ELT architectures across Azure (preferred), AWS, or GCP. You have a solid understanding of scalable system design, data engineering best practices, and modern Lakehouse technologies such as Apache Delta, Iceberg, and Hudi. You have worked with relational databases (PostgreSQL, SQL Server, Oracle), build transformation model using DBT and understand DevOps principles and automated CI/CD pipelines deployment practices. You combine strong problem‑solving skills, ownership, and a consultative mindset with the ability to work independently and confidently in complex, fast‑paced environments.
Azure Fabric, Azure Databricks, PySpark, Apache Spark, Python, SQL, Azure Data Platform, DBT, Snowflake, Docker, Kubernetes.
Design and build scalable data pipelines that power high‑impact data products across multiple business domains. Drive cloud data migration initiatives, helping modernize existing platforms and supporting the transition to Azure-based solutions. Transform and optimize large‑scale datasets to enable reliable reporting, analytics, and business decision‑making across the organization. Collaborate closely with Data Analysts, ML Engineers, DevOps Engineers, Backend Developers, Product Managers, and business stakeholders to deliver robust end‑to‑end data solutions. Contribute to engineering best practices by promoting clean, maintainable code, automation, and continuous improvements across the data platform.
While this is a remote position based in Germany, it may require occasional on‑site collaboration at our offices in Berlin or Cologne, depending on business and team requirements.