11 senior software engineer jobs found in Berlin

What We Do Contiamo is a premier consulting firm that brings together an interdisciplinary team of senior experts in data science, data engineering, mathematics, business consulting, and change management. Our extensive experience allows us to deliver high-quality data solutions, seamlessly integrating deep business know-how. We collaborate with industry leaders such as Mercedes Benz, CBRE, and Deutsche Telekom to tackle their most pressing business challenges through intelligent data usage. As a trusted partner, we pride ourselves on delivering scalable cloud applications and leveraging open-source tools to find elegant solutions to complex problems. At Contiamo, our culture thrives on fast iterations and a high-trust environment where everyone is given significant responsibility. We believe in the power of a supportive atmosphere, valuing both individual contributions and the joy of teamwork. Our projects span a wide range of exciting data use cases, including:...

Hi, we're Phiture — the mobile growth consultancy working with the teams behind leading apps like Adobe, Headspace, and LEGO® . We're setting the standard for growth in the brave new digital world, and we need great people to join our global team! WHAT TO EXPECT: We're looking for a   Senior Software Engineer   with a strong backend foundation and a startup mindset to join our fast-growing Growth & Insights team, this time with a new challenge. You won't just be building products from scratch; instead, you'll step into a pivotal role supporting and evolving   two actively growing SaaS platforms :   Catchbase   and   PressPlay . This is an opportunity to shape product maturity, scale features, and reduce incidents, without compromising on creativity or autonomy. WHAT YOU'LL DO: Resolve live incidents and manage ad hoc stakeholder requests , especially data-related issues impacting analysts and clients. Build new features   and evolve existing ones...

At praxipal, we are building an AI-powered healthcare admin workforce to address the global shortage of medical staff. Medical assistants are too valuable to spend their days chasing callbacks, cleaning up schedules, sending repetitive messages, or wrestling with invoicing and documentation workflows. Staff should spend time on patients. That's why we build Luna. Our AI receptionist, Luna, answers and automates phone calls and she's loved by more than 100 medical practices. Right now, we're expanding her from calls to end-to-end patient communication across any channel. Over the next years, we'll grow her into an AI worker that automates all administrative processes in medical practices, embedded directly into the systems teams already use. We're backed by one of Europe's leading investors and are one of the fastest growing healthtech startups in Germany. Our team has previously worked and studied at Palantir, Amazon, SAP, the University of Cambridge, and Hasso Plattner...

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...

Location Germany - Berlin Contract Full time Job category Software Engineering - Machine Learning THE ROLE & THE TEAM We are looking for a Senior Machine Learning Engineer to enhance Zalando's Machine Learning Ops Platform team, making them more scalable, efficient, and impactful. The primary focus of the work will involve contributing to the development, maintenance, and monitoring of MLOps Infrastructure, with key responsibilities including work on the Feature Store, Airflow pipelines, Databricks jobs, and associated observability systems. Additional tasks may be assigned as needed to support broader platform initiatives and evolving project requirements. Working closely with other Machine Learning Engineers, Data Scientists and Software Engineers, you will help shape the future of DARA ML & Data platform at Zalando. WHAT WE'D LOVE YOU TO DO (AND LOVE DOING) Design and build foundational ML platform components, including systems for...

We are seeking a skilled Data Science Engineer to design, build, and deploy production machine learning solutions for an enterprise Fleet Cascading & Optimization Platform managing 46,000+ vehicles across 545+ locations. In this role, you will develop and operationalize demand forecasting, cascading optimization, contract intelligence (NLP/Vision), and out-of-spec prediction models with a strong focus on explainability and business impact. You will own the end-to-end ML lifecycle — from experimentation and model development to scalable production deployment on AWS—working closely with engineering and business stakeholders to deliver reliable, data-driven outcomes. Must-Have Requirements Programming & ML Frameworks: Python; PyTorch or TensorFlow; scikit-learn; XGBoost or LightGBM; pandas; NumPy Time Series & Forecasting: BSTS; Prophet; Temporal Fusion Transformer (TFT); hierarchical forecasting with MinT reconciliation Optimization: Linear Programming and...

Distribution   is the world's leading ground transportation marketplace and gives travelers seamless access to ground transportation online, from search to ticket purchase. We have built a cutting-edge B2B technology platform that connects bus, rail, and ferry operators in 70+ countries with the biggest online retailers, including Google Maps and Booking.com. We are shaping the future of travel and building the largest global network of transport providers and retailers. Having grown 10x in the past year, we are one of the fastest-growing startups in travel. Backed by four leading VCs (TQ Ventures, Creandum, Northzone, and Lightrock), and now, following our recent $80 m Series C, we are ready to push beyond. We are looking for a talented   Senior DevOps Engineer   to join our Infrastructure team at Distribusion. Your main contribution will be to work on different projects aimed at improving our infrastructure's security, reliability and overall performance by setting up...

We are Billie, the leading provider of Buy Now, Pay Later (BNPL) payment methods for businesses, offering B2B companies innovative digital payment services and modern checkout solutions. We are to create a new standard for business payments and have made it our mission to simplify the purchasing experience for all businesses making it a tool for growth. Our solutions are based on proprietary, machine-learning-supported risk models, fully digitized processes and a highly scalable tech platform. This makes us a deep-tech company building financial products, not the other way around. We love building simple and elegant solutions and we strive for automation and scalability. About the Role: As a Senior Data Scientist within the Credit Decision Science team, you will serve as a domain expert responsible for the end-to-end design, development, and productionization of robust, scalable machine learning solutions for our credit and portfolio management domain. This role requires...

Location:   Full Onsite. Berlin Mitte, Germany. About the Company The AI-driven trade platform transforming industrial supply in infrastructure, energy, and construction materials. It connects vetted suppliers across Asia, Europe, and the GCC region with local demand through a single integrated platform. Its proprietary AI stack digitizes and automates the full lifecycle of materials trade — from procurement and pricing to inventory, logistics, and embedded financing — replacing thousands of manual, relationship-driven processes with real-time orchestration. Buyers gain instant quotes, reliable availability, and predictable delivery through a unified operating system. Suppliers benefit from accurate forecasting, disciplined demand management, and seamless integration into cross-border fulfillment networks. The company partners with leading brands to run both dropship and cross-dock fulfillment motions for large-scale transactions, turning global supply chains into...

ABOUT YOU We are looking for an on-site Systems Administrator and Development Operations Manager who is detail-oriented, communicative, and extremely knowledgeable from a technical standpoint to join our Xsolla Berlin team. This in-office role combines traditional IT infrastructure management for our growing 35-person office with specialized support for our game development team. The best candidate will be someone who thrives in a fast-paced, highly collaborative, and exceptionally dynamic setting and is excited to work closely with team members to resolve their most-pressing technical blockers and keep our team working as fast and efficiently as possible. Strong technical expertise is essential, along with experience in systems administration and some knowledge of game development processes, particularly with Perforce and Unreal Engine workflows. The ability to manage multiple projects will be key to your success in this role. If you're passionate about maximizing a...

Your mission Define how AI can understand, reason about, and discover materials Dunia is building AI for one of the hardest unsolved problems in science: turning materials discovery from an academic, trial-and-error process into a programmable, scalable discipline. As Head of AI Research, you will define and lead Dunia's AI-for-Materials agenda at the intersection of machine learning, physics, chemistry, and automated experimentation. This role is about more than applying existing ML techniques to scientific data. It is about inventing the representations, learning paradigms, and evaluation frameworks that allow AI to reason about matter across scales. You will spearhead the development of Dunia's Materials World Model, shaping how AI interacts with experiments and simulations, and how scientific insight is translated into systems that reliably produce new materials with real-world impact. Your tasks will include: Set the intellectual direction for AI for Materials...