7 data analytics engineer jobs found

Minimum qualifications: Bachelor’s degree or equivalent practical experience. 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree. 1 year of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field. 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging). Preferred qualifications: Master's degree or PhD in Computer Science or related technical fields. 2 years of experience with data structures and algorithms. Experience developing accessible technologies. About the job Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with...

Do you want to be at the forefront of AI development with us and shape the integration of modern AI models into the BFS system landscape from scratch? Then apply now! We are looking for support as AI Engineer (m/w/d) (permanent, full-time) at the Dortmund location with the possibility of 80% mobile office Your tasks: Design instead of manage:   Develop, train and deploy robust machine learning and deep learning models – e.g. for risk classification, document analysis or predictive analytics. Pure innovation:   Build AI-based knowledge databases, chatbots and automation solutions – from Azure OpenAI to LangChain to RAG systems – and ensure stability and performance. Data Engineering meets AI:   Design efficient data pipelines and workflows for OCR, NLP and more, and bring them productively into our landscape. Always ahead:   Evaluate, integrate, test – you bring new AI technologies, frameworks and platforms (Azure AI Services, Hugging...

Type of employment Full-time Workplace Berlin • Hybrid working   About Yepoda Our mission is to bring   Clean K-Beauty Innovations   ,   from Korea straight to Europe, UK, and the US – without ever compromising on our values, quality, and sustainability. Our clean, mindfully produced skincare products are made with love in Korea, vegan, cruelty-free, and packed with the best natural and active ingredients. Founded in 2020 by Sander Joonyoung van Bladel and Veronika Strotmann, Yepoda is a fast-growing beauty start-up based in the heart of Berlin. Our products are available across Europe and, since March 2025, at Sephora Europe – online and in over 250 stores. As a certified   B Corp   , we are committed to building a business with purpose. With a team of over 120 brilliant individuals from around the world, we are actively shaping Yepoda's story every day. We are looking for a   Senior   Data...

Type of employment Fixed-term contract Shifts and working hours Flexible working hours Estimated commute Add location for commute Job address Herbert-Lewin-Platz 2, 10623 Berlin   Flexible working hours Continuing education programs Occupational pension scheme   We are looking for a Data Engineer (m/f/d) as Senior Consultant (m/f/d) for our Department of Digitalization and IT - Data and Automation Division - starting on 1 September 2026 as parental leave cover, likely limited to 31 July 2027. Data Engineer (m/f/d) With your expertise, you contribute to fail-safe software that saves lives in emergencies, ensuring smooth operations for more than 73 million people with statutory health insurance. Your tasks They model and implement Business Intelligence (BI) solutions based on Oracle Exadata and MicroStrategy. They plan and oversee updates,...

Berlin nationwide/remote Düsseldorf Heidelberg Ulm Professional experience Full/Part-time For over 35 years, we have been helping companies create real added value from data. To achieve this, we develop customized data, AI, and software solutions and, as a specialized boutique service provider, support our clients throughout the entire data-to-value journey – from the initial idea to productive application. In our projects, we combine data engineering, machine learning, generative AI, and software engineering with in-depth industry knowledge and methodological clarity. With over 170 employees, we work on challenging projects in sectors such as life sciences, finance, and manufacturing, developing sustainable solutions together. As an AI Engineer / Data Scientist (m/f/d), you will work in a team on practical GenAI, machine learning, and data science solutions. In collaboration with our clients, you will develop applications that sustainably...

We are Fides Our mission is to enable good governance globally Fides, a LegalTech company founded in Munich and Berlin, is on a mission to enable good governance globally. Our AI-powered platform helps multinational companies manage their corporate governance across more than 100 jurisdictions, streamlining entity and board management with built-in legal logic tailored to local requirements. In 2025, Fides was acquired by LegalOn, a pioneer in Legal AI used by over 8,000 in-house legal teams worldwide. Together, we are building the next generation of governance and legal technology, helping global enterprises manage governance workflows with unprecedented speed, accuracy, and compliance. Backed by experienced founders and strong international traction, we are now scaling our Dev team to further evolve our product and deliver even greater value to our customers by addressing their needs with precision, speed, and innovation. Your mission As a Senior Software Engineer...

Your team As an AI Engineer (f/d/m), you will play a pivotal role in shaping and delivering AI-powered features for our Review & Drafting Squad. Our B2B solutions are aimed at professionals working in law research and legal advising, and this squad focuses on capabilities for drafting, editing, and reviewing documents, and structured workflows with a strong emphasis on usability, reliability, and measurable impact. You will work closely with product, design, engineering, and domain experts to turn problem statements into production-ready AI features, including technical feasibility assessment, architecture decisions, implementation estimates, establishing robust evaluation, and designing reliable, scalable AI systems. You will join our Tech Team of around 32 people, including UI Engineers, UI Designers, AI Engineers, Data Engineers, as well as Fullstack, Backend, and DevOps Engineers. Within that team, you will help drive applied AI capabilities that improve how...