4 junior data engineer jobs found in Berlin

Build the Market Leader in Satellite Analytics with us at LiveEO We are looking for a   Senior Data Engineer   to build the high-performance data backbone for our multitemporal, multimodal Earth observation models. While our ML Engineers focus on model architecture, you will own the   infrastructure, ingestion, and refinement pipelines   that combine very high-resolution optical and Synthetic Aperture Radar (SAR) data into production-ready datasets. This is a high-impact role at the intersection of Big Data and AI. You will ensure that our "data engine" is scalable, deterministic, and capable of handling petabytes of geospatial information to enable semantic understanding across sensors and time. LiveEO is a young, dynamic team that thrives on big challenges and fast learning cycles—we move quickly, stay curious, and genuinely enjoy building together. We’re on a mission to break the “curse of Earth Observation”: turning incredible satellite data into   reliable,...

Our Vision At Nomitri, our ambition is bold:   to become a leading worldwide player in Edge AI and Computer Vision . Join Nomitri and build the infrastructure behind next-generation Edge AI systems. We deploy computer vision solutions at scale for major international retailers, running across cloud and edge environments in 15+ countries and processing millions of inferences daily. We’re looking for a senior engineer who wants to   own complex systems end-to-end , make   high-impact architectural decisions , and grow into a   key technical leader   as we scale. Location:   Berlin, Germany (hybrid:   3 days in-office , 2 days remote) What you'll do Take ownership of our multi-cloud architecture (GCP, Azure, AWS) — from design to operation. Build a true platform engineering layer: scalable, self-service infrastructure that accelerates all engineering teams. Architect networking across cloud and edge (hybrid connectivity, routing, secure communication at...

ABOUT ZELARA Current CRM marketing is broken. It blasts generic messages at scale and calls it "personalization." Our founders lived this problem while leading global, tech-enabled B2C businesses - and decided to fix it. Zelara is   the AI operating system for personalized, digital customer experiences . Our platform uses generative AI and machine learning to build a self-optimizing system that personalizes every B2C interaction in real time — turning impersonal marketing into conversations customers actually welcome. Early results with enterprise customers show a lift in conversion rates and revenue growth. We are well-funded, already generating revenue with paying enterprise customers, and seeing strong market pull. Now we are building the team to scale. THE ROLE This is not a role where you inherit a mature ML stack and optimize metrics at the margin. This is the chance to be the person who builds the core intelligence of an AI-first company from the ground up...

Platform Engineer We're looking for a (Senior) Platform Engineer to own and evolve our infrastructure — with a focus on developer experience and the chance to get hands-on with AI systems. What you'll do Design and maintain cloud infrastructure on AWS using Terraform Own and improve CI/CD pipelines for fast, safe deployments Manage and scale Kubernetes clusters Improve developer experience — making it easy for teams to ship and debug Implement monitoring, logging and alerting for full observability Configure and optimize CDN infrastructure You are 8-10 years of experience in DevOps, SRE or platform engineering roles Expertise in AWS Proficient with Terraform and infrastructure-as-code workflows Experienced in building and maintaining CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins or similar) Solid understanding of Kubernetes — deployment, networking, scaling and troubleshooting Strong...