data-science

Bosch Group

<div><section><div><p></p><h2>Company Description</h2></div><div><p><strong>At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our promise to our associates is rock-solid: we grow together, we enjoy our work, and we inspire each other. </strong><strong>Join in and feel the difference.                    </strong></p><p>The Robert Bosch GmbH is looking forward to your application!</p></div></section><section><div><p></p><h2>Job Description</h2></div><div><p> </p><ul><li><strong>Help shape the future: </strong>We are developing the solid oxide fuel cell (SOFC) as an IoT device and are implementing a digital twin for it. You will be involved in shaping this innovative Bosch product, which will help to reduce the CO2 emissions with hydrogen-based power generation, and to transform the future of green energy.</li><li><strong>Take responsibility: </strong>As a data engineer, you will be responsible for conception, development, testing, deployment, and continuous improvement of data pipelines from sources along the complete product lifecycle of solid oxide fuel cell systems. This could be data from engineering, manufacturing, operations, or service.</li><li><strong>Implement holistically: </strong>The data pipelines that you build will form the core of the digital twin, that will enable a comprehensive product lifecycle management, with the aim to continuously improve the product, optimize and grow the business. To achieve this, you will build effective, scalable cloud solutions using a modern tech stack (e.g. Spark, Python, Scala).</li><li><strong>Live cooperation: </strong>You will work closely with data scientists to architect, deploy, scale, and maintain machine learning and other data driven solutions to the cloud. You will support our engineers and data analysts with suitable data processing solutions.</li></ul></div></section><section><div><p></p><h2>Qualifications</h2></div><div><ul><li><strong>Education:</strong> Completed degree in computer science, information technology, engineering with a strong IT background or comparable qualification</li><li><strong>Personality and working practice:</strong> Self-motivated, committed to technical excellence, and driven to deliver high quality and innovative solutions with impactful results. You are a team player, an effective communicator, and are eager to solve problems in a sustainable way. You are passionate about creating well architected modern data infrastructure and have an automation first mindset. You have curiosity and passion to learn new things and are continuously staying up to date with technological developments</li><li><strong>Experience: </strong>Several years of professional experience with big data infrastructure, engineering data pipelines with cloud services, and a proven track record of delivering solutions to production. Experience with CI/CD pipelines, DevOps workflows and developing infrastructure as code (Terraform) is a plus</li><li><strong>Knowledge:</strong> Expertise in building robust, highly scalable batch and streaming data pipelines using distributed systems, knowledge of cloud infrastructure (Azure, AWS), and orchestration (Kubernetes), messaging platforms (Kafka), and big data storage technologies (Hudi, Delta). Advanced programming knowledge (Python, Scala). Knowledge of data warehouse, data lakehouse technologies (Databricks) and paradigms, and experience in data modeling (SQL, dbt) is a plus</li><li><strong>Languages:</strong> fluent in English (written, spoken), good knowledge of German is a plus</li></ul></div></section><section><div><p></p><h2>Additional Information</h2></div><div><p><strong>Need support during your application?</strong><br>Sandra Geiger (Human Resources)<br>+49 711 811 27525</p><p><strong>Need further information about the job?</strong><br>Christian Mathissen (Functional Department)<br>+49 711 811 54657</p></div></section></div>

Data Engineer (f/m/div.)

remote

14 days ago

job-applications-closed