Software & Data Engineer d/f/m NEW

Job description

About the role 

• Design and maintain scalable backend services, APIs, databases and cloud-native applications.
• Integrate tools and data platforms to create centralized and scalable solution frameworks.
• Enable seamless data exchange and interoperability across functions and operating companies.
• Support AI-driven automation, analytics and reporting solutions.
• Strengthen data governance and maintain trusted single sources of truth.
• Scale and improve existing tools to increase resilience, reduce risk and maximize business value.
• Collaborate with Product Owners, engineers and subject matter experts to deliver high-impact solutions.
• Ensure high quality through testing, documentation and modern software engineering practices.

Job requirements and experience

• Master’s degree in Computer Science, Software Engineering, Data Engineering, or a related field.
• 5+ years of experience in backend, software, or data engineering roles, with strong Python and REST API skills.
• Experience with SQL databases; knowledge of NoSQL and vector databases is beneficial.
• Experience with Azure or comparable cloud platforms, including containerized applications using Docker and Kubernetes.
• Experience with modern data platforms, preferably Databricks, including Lakehouse architectures, Lakebase, and Databricks Asset Bundles.
• Experience building AI applications using LLMs, agents, RAG, and workflow orchestration frameworks.
• Experience with Git, CI/CD, automated testing, and agile software development.
• Strong analytical, problem-solving, and communication skills, with experience in complex enterprise environments and fluency in English.