7 data engineering jobs found in Munich

About Us Do you want to advance your career and collaborate with experienced, talented colleagues to successfully solve our customers' most pressing challenges? We are continuing to grow and are looking for dedicated individuals to strengthen our team. You will become part of a dynamic, rapidly growing company with over 300,000 employees. Our dynamic organization allows you to work across disciplines and contribute your ideas, experience, creativity, and goal orientation. Are you ready? About your role As   a Consultant / Senior Consultant in the field of Data Engineering & Data Science,   you will work hands-on on the conception, development, and implementation of modern data and analytics solutions. You will support the entire project lifecycle – from data acquisition and transformation through analytics and machine learning to productive operation. You will work closely with data engineers, architects, data scientists and subject matter experts to...

Join the Cavalis team At cavalis, we believe the next generation of consulting is hands-on, data-driven and powered by AI. We are looking for Forward Deployed AI Engineers who combine skills in data science, machine learning and process analytics to deliver measurable business impact. In this role, you will work directly with our clients, from scoping challenges to building and deploying solutions in their environments. You will implement advanced analytics and AI use cases, and you will ensure that our clients unlock the full potential of their data and processes. Why Cavalis Be part of a growing consultancy where your work makes a visible difference Work on projects that span process mining, advanced analytics and AI/ML – sometimes combined, sometimes standalone. Develop and deploy real solutions with SQL, Python and AI frameworks inside customer environments. Work closely with clients, from operational teams to senior executives. Grow continuously through...

About Us At arculus we design, build, and maintain cutting-edge autonomous mobile robots and the software ecosystem around them. Our Development department brings together software, infrastructure, and product experts in a collaborative, international environment, focused on delivering reliable and high-quality products. Your Role As a DevOps Engineer (Linux) at arculus, you will enable reliable, secure, and automated delivery of Linux-based microservices and applications. You will design and maintain CI/CD pipelines, support development teams in deploying production-ready software, and continuously improve automation and operational practices. Working closely with development, QA, and product teams, you help ensure that our systems scale reliably and efficiently. Your tasks will include: Maintain and optimize Linux-based CI/CD pipelines for microservice applications Automate build, test, packaging, and deployment processes Deploy and operate microservices...

Your tasks: Data Architecture & Integration:   Development, implementation & further development of scalable data concepts and architectures (e.g., Data Lakehouse) for data integration as well as implementation of BI & Advanced Analytics. Lifecycle support & strategy implementation:   Supporting the platform manager throughout the entire lifecycle and advising on the implementation of data & AI strategies. Data landscapes & use cases:   Reviewing data sources, quality & suitability for use cases, identifying potential value enhancements and end-to-end project management of data & AI use cases. Process basis & automation:   Documentation of processes and identifying and developing optimizations through automation & AI Standards & Reuse:   Maintenance, implementation and improvement of reusable standards & projects in the data & AI field Technologies, Partners & Compliance:   Selection support,...

Keeps Linux infrastructure secure, stable, and running smoothly, so teams can focus on building instead of firefighting. Area of ​​responsibility and duties Operation, maintenance and continuous optimization of the on-premises cloud as well as other internal project services Design, implementation and maintenance of modular Infrastructure-as-Code solutions with Terraform, including planning, status management and versioning. Development and maintenance of automation tools using Python, Bash and Ansible Operation, maintenance and troubleshooting of Ceph storage systems Responsibility for monitoring, observability and alerting with Prometheus, Grafana and Loki Application and further development of security fundamentals such as vulnerability analysis, SAST, access controls, 2FA, VPN and network security Maintaining documentation and best practices, as well as training new team members Supporting other development teams with infrastructure and operational...

A DevOps Engineer at Verimatrix is responsible for the creation, deployment and operations of a large product suite that enables content protection and security for video delivered via satellite, cable or the Internet. The DevOps Engineer leads with his/her teammates to build, test, deliver, and monitor high-performing, scalable, high-quality products. In this role, the Engineer will work collaboratively with software engineering to deploy and operate our systems, automate and streamline our operations and processes, and build and maintain tools for deployment, monitoring and operations. A successful Engineer will be proactive, interactive, creative and flexible. Responsibilities and Duties: Defining features, solution requirements and specifications according to which the solution is defined, managed, and delivered. Describing the structure, characteristics, behavior, estimated budget and other aspects of software to project stakeholders. Lead project specific...

Your tasks Development and enhancement of reliable data platforms and architectures in agile customer projects Precise control through the multitude of tools and methods surrounding data architectures, on-premise and in the cloud. Consistent integration and rationalization of different data streams across different systems Goal-oriented collaboration with our software engineers and cloud architects to ensure a successful project. Your profile Excellent knowledge of modern data architectures, platforms, technologies and paradigms Strong awareness of data quality (Data Strategy, Data Governance) Basic cloud knowledge (AWS and Azure) as well as IaC and Terraform Good experiences with SaaS offerings such as Databricks or Snowflake Excellent knowledge of Spark, Python and SQL Excellent analytical skills and understanding of complex technical issues Efficient, results-oriented work style and a strong service and customer focus Very good German and...