3 data engineering jobs found in Erlangen

Your tasks Implementation and execution of software integration and deployment processes; Maintenance and optimization of IT infrastructures; Creation of (hybrid) cloud architectures (e.g. with AWS, Azure or Google); Creation of software releases as well as design and execution of software tests; Container virtualization of applications (e.g., with Kubernetes or Docker); Automation of development, testing (test automation) and integration; Managing and releasing code and system resources in versions using Continuous Integration (CI) / Continuous Delivery (CD) (e.g. with Jenkins or Git). What you bring You enjoy constantly expanding and improving your skills. You feel at home in at least one cloud environment (AWS, Azure, ...) You are proficient in Docker and Kubernetes Experience with an automation or build tool (Terraform, Ansible, AWS CDK, Gradle, Maven, NPM, ..) Passion for programming/scripting You are interested in cybersecurity....

Do you want to help shape architectural decisions, develop them yourself, and experience the impact of your work on clients? At Data Insight Consulting, you'll support companies from technical conception to productive data pipelines and reliable analyses. We are a Hamburg-based consulting firm specializing in Databricks and Microsoft Azure. We combine data engineering, modern data architecture, business intelligence, and AI for companies in the DACH region (Germany, Austria, and Switzerland). To strengthen our team, we are looking for an experienced individual who can take on technical responsibility and provide clear and understandable consulting services to clients. Your tasks Developing data platforms: You design and implement Lakehouse solutions on Databricks and Azure – from connecting data sources to deployment for analytics and AI. Making pipelines production-ready: You develop with Python, PySpark and SQL, improve existing solutions and establish tests,...

These are your tasks: As part of the company's data governance and quality regulations, you will develop and maintain standards, policies, and rules for managing materials within the company (e.g., data governance framework, component life cycle model) and coordinate these with all relevant departments. Furthermore, you will support the IT department in implementing these standards, analyze key performance indicators, identify weaknesses, and implement improvement measures. They act as a coordinating interface to all departments, participate in voting processes, and support company-wide projects in the SAP environment as representatives of the central Product Lifecycle Management team. They define, plan and manage internal optimization projects for the department as needed (e.g., interface implementation, data quality initiatives) and analyze suitable tools for a defined purpose. They create documentation on processes, methods and tools,...