11 business intelligence jobs found

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...

Munich Full-time Permanent employee Introduction: Are you ready to architect the backbone of smart urban mobility? At Peter Park, we’re not just improving parking, we’re shaping the future of a smarter, more efficient city. As a Senior Backend & DevOps Engineer, you’ll be the driving force behind our resilient backend systems and robust infrastructure, designed for constant growth and scaling as they power thousands of parking lots across Europe. If you thrive on tackling complex challenges with cutting-edge technology in a fast-paced, dynamic environment, step up and help us build the intelligent infrastructure of tomorrow. Our Objectives and your Role: This role isn't just about executing; it's about leading and shaping our technological future. Your core responsibilities and contributions will include: Architectural Leadership:   Develop and refine our core backend systems, serving as the definitive operating system for car...

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 Services From the full job description Life insurance Unlimited vacation days Who we are: Process Street is an AI software and compliance operations platform startup from San Francisco. We help our customers build, document, automate, and track recurring workflows. Our platform automates the work, enforces the standards, and proves compliance so our global customers can run their businesses. We service over 3k customers around the world, and are VC-backed by Accel, Salesforce, and Atlassian. Our Mission: To make recurring work fun, fast, and faultless for teams everywhere. Our culture: Process Street was founded on a strong belief in the work-life benefits of a healthy, collaborative remote culture. We value flexibility because many of us are parents, travelers, or just creatives who aren't inspired by the construct of a mundane 9-to-5. Spread across 9 different time...

Short Facts Location: Munich, Germany Employment Type: Full-Time, indefinite term Salary Range: € 88,000 - 115,000 per year gross depending on the seniority level Office First work setup Language Requirement: C1 Level English Your Responsibilities Be part of a cross-functional team of data scientists and software engineers. Research, develop and producealize ML models for distributed energy system including clustering and forecasting. Implement, deliver and monitor well-engineered data driven solutions in our real-time production system. Contribute to define our data science roadmap, and help shape our next generation algorithms. Promote technical excellence, advocate for ML and coding best practices, contribute to our open, data-driven engineering culture, and mentor junior data scientists. Design, implement, deploy, and operate robust machine learning solutions in production. Your Profile Mandatory...