Public summary
Join a leading European e-pharmacy as a Data Engineer to develop and optimize scalable data pipelines and cloud-native data architectures for innovative Data & AI solutions in healthcare. Work with cutting-edge technologies such as Azure, Databricks, DBT, and modern programming languages, collaborating with diverse business domains including finance, e-commerce, pharma, and supply chain.
Responsibilities
Design and optimize scalable data pipelines and architectures. Build cloud-native data solutions using Azure, Databricks (Unity Catalog & Delta Lake), and other big data technologies. Develop and maintain DBT models. Collaborate with business stakeholders and analysts to deliver data-driven solutions. Apply CI/CD practices and continuously improve system performance, scalability, and security. Promote a strong data culture through learning and knowledge sharing.
Qualifications
3+ years of experience in data engineering and data management. Hands-on experience with Azure or other public cloud platforms, building and maintaining scalable data pipelines. Strong expertise in DBT and SQL for data modeling and analysis. Solid experience with Databricks technologies including Spark and Unity Catalog. Proficient in at least one programming language such as Python, Scala, or Java. Experience with CI/CD and DevOps practices is advantageous. Understanding of business domains, preferably with an e-commerce background. Motivated to work in an innovative environment and continuously improve cloud-native and distributed systems.