5 data engineering jobs found in Berlin

Join us as a   Working Student Data Engineer   (all genders) in our Cloud & Platform Engineering   team   and help shape the future of autonomous mobility! The Data Lake Platform team provides the secure and self-service foundation for all data at MOIA. We build and operate the central data infrastructure that enables teams to ingest, store, access, and manage data in a compliant and cost-efficient way. Our platform powers everything from product and operational metrics to large-scale unstructured data streams from autonomous driving systems. By combining automation, governance, and scalable AWS technologies, we make sure MOIA’s data is always trusted, fresh, and privacy-compliant, empowering 25+ teams to build data-driven products with full ownership of their data lifecycle. What you will do Develop data ingestion, transformation, and access layers using Apache Spark, Iceberg, and AWS services such as Lambda, and S3. Develop scalable workflow...

Your benefits: You work with state-of-the-art technologies. You will become part of a team of tech-savvy engineers. You will accompany the next tech unicorn in the defense sector in the development of one of the first multinational drone early warning systems. You can expect to work with a multinational, pragmatic, hands-on team with a strong focus on innovation. Work in the office in Berlin or Munich – or completely from home from anywhere in the EU. Apart from a few meetings, you work when it suits you best. 30 days of vacation. Health insurance package. Your tasks: You will become part of a 35-person team of tech-savvy sensor, IoT, and hardware engineers. Together with your colleagues, you will be responsible for the following tasks: You are developing a next-generation location tracking product with a learning map architecture. You build and implement visual and acoustic sensor systems for...

Location Germany - Berlin Contract Full time Job Category Software Engineering - Backend THE ROLE & THE TEAM Lounge by Zalando is a rapidly growing part of Zalando, now turning over billions of euros each year. That said, there is so much untapped potential with respect to personalization and recommendation. You will be a data engineer, working alongside backend engineers and data scientists to build large-scale recommender systems. As the largest online fashion retailer in Europe, we require a skilled engineer who can design, build, and maintain Machine Learning pipelines at a global scale. You will play a key role across the entire ML lifecycle, from designing and implementing robust batch and streaming preprocessing pipelines to enabling efficient model training and distribution for our real-time recommender systems. This is a very good opportunity to build a data product that has a measurable impact on the business outcomes and the user experience....

Tech Lead ML & Data - Retail Banking (m/f/d) DKB AG Location: Berlin indefinite Part-time and full-time positions available from now on Your tasks You are responsible for the overall technical architecture and vision for three central product and platform teams in retail banking – and thus for how data-driven, personalized and automated we are in guiding our customers along key banking journeys. You will take on technical responsibility for our AI-based document recognition (DocAI) and drive the productive use of OCR, AI and ML solutions – from stable backend architecture to scalable integration into operational processes. You will be responsible for the technical development of our CRM system, which we use to personalize customer interactions, perform analytical selections, and manage all email marketing campaigns – with a focus on scalability, data quality, performance, and compliance. You will support the Data &...

We are currently seeking a working student (m/f/d) to support our Grid Automation Team at GE Vernova in Berlin, with a focus on cybersecurity. In this role, you will support our team with cybersecurity-related topics in the areas of critical energy infrastructure, substation automation, and digital solutions for the electrical energy transition. You will work at the intersection of technology, security, and operational implementation. The contract duration can be individually agreed upon, but should not exceed 20 hours per week over a period of 6 to 12 months. At GE Vernova , we are working with a clear vision for the energy future – “The energy to change the world. ” however, it should involve a maximum of 20 hours per week over a period of 6 to 12 months. At GE Vernova, we are driven by a clear vision for the future of energy: “The energy to change the world.” Job Description Your tasks Supporting the   Grid Automation Team   on   cybersecurity   issues in...