5 data engineer jobs found in Berlin

Intro At Adsquare, our mission is driven by our core focus: Passion   – Solving complex challenges with great people, tech, and data. Niche   – Location Intelligence for Programmatic Advertisers. Our core values ​​are integral to everything we do: Drive:   We turn ambition into action. Resilience:   We adapt, persevere, and grow stronger. No BS:   We value honesty, transparency, and clear communication. Humble:   We choose modesty over vanity and let results speak for themselves. Moral Compass:   We do the right thing with fairness, integrity, and respect. We seek candidates who not only bring top-tier technical expertise but also embody these values ​​in every aspect of their work. About the team We are looking for a   Staff Data Analytics Engineer   to join our technical proficiency track. This is a highly technical, Individual Contributor (IC) role. You will act as the   Technical...

Your mission As our   AI Automation Engineer   , you will be the driving force behind scaling efficiency at Cosuno. As the expert for Cosuno's automation stack, you will partner with teams across the company to identify, design, and implement AI-driven workflows that transform their work. Rather than building or training proprietary models from scratch, you will leverage state-of-the-art existing models and reasoning chains to solve business problems. As part of the product team, you will collaborate closely with the CEO & CTO to ensure all solutions are technically sound and aligned with our core infrastructure. This is an execution-heavy role where success is measured by the speed and reliability of the modular automation platform you build. Key responsibilities Discovery & Prioritization:   Partner with Finance, Sales, Ops & Product to identify high-ROI automation opportunities & evaluate them based on business impact versus technical...

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...

We are seeking a technically skilled and passionate Senior-level Data Scientist with expertise in machine learning methods to join our international and dynamic Data Science department at AUTO1 Group Technology. AUTO1 Group is Europe's leading digital automotive platform. We revolutionise the used car market with our well-known brands Autohero, wirkaufendeinauto.de, and AUTO1.com. We are dedicated to leverage cutting-edge technology to develop Machine learning solutions that optimize our sales and processes. As a Data Scientist at AUTO1 Group in the outflow sales team, you’ll work on solving complex business challenges such as providing personalized recommendation, dynamic pricing for inventory cars, managing demand forecasting for used car markets and finance risk prediction. You’ll drive end-to-end development from prototyping innovative solutions to deploying scalable models. Working closely with devops, engineers, and product teams, you’ll leverage machine learning to...

Berlin based - m/f/d - full time What we do at Plato Plato is the AI-powered Sales Intelligence platform built specifically for B2B wholesale. We transform reactive sales teams into proactive revenue engines by surfacing hidden opportunities in their data. Our platform identifies which customers are at risk, who's ready to buy more, and what products to recommend next - turning thousands of signals into clear next actions. The Wholesale Challenge Why wholesale is different from everything else you've worked on: Imagine building ML for a world where: Your "best customer" might buy twice a year - but spends €500K each time A customer churning doesn't mean they stopped needing your products - they just found another supplier Product catalogs contain 100K+ SKUs but even your best customers only know 500 of them A "trend" might be 3 data points over 18 months Success means helping a sales rep know which of their 200 customers needs...