9 data analytics engineer jobs found

Third-party funded Our interdisciplinary research team at the University Hospital Magdeburg is developing, in collaboration with local companies, intelligent insoles for patients with diabetes that measure pressure and temperature changes in real time, thereby enabling early warnings of potential health complications. This innovative technology significantly improves the quality of life of our patients and supports the prevention of severe secondary diseases. We offer you the opportunity to contribute to cutting-edge technologies in a dynamic, research-driven environment. Our working language is multilingual (German and English). Further information can be found in our publications: Ming A, Alhajjar A, …, Mertens PR. Telemedical Monitoring of Plantar Temperature in Diabetic Patients at Risk of Foot Ulcers. Deutsches Ärzteblatt International, 2024 Jan 12;121(1):9–16. doi: 10.3238/arztebl.m2023.0229. Ming A, Lorek E, …, Mertens PR. Unveiling the link between cognitive...

Location Schönbeinstrasse 5-6 74076 Heilbronn Employment Area IT - Cloud Services Level Experienced professional Working Model Full-time Reference ID 1172 Schwarz Digits creates the technological foundation for digital sovereignty in Europe. As the IT and digital division of the Schwarz Group, we develop and manage the IT infrastructures for the retail divisions Lidl and Kaufland, as well as Schwarz Production and PreZero. At the same time, we operate as an independent provider in the external market to support companies across Europe in their digital transformation. We bundle our core services in the areas of Cloud, Cyber ​​Security, Data & AI, Communication, and Workspace. Join us and contribute to digital sovereignty in Europe. With us, you will work at the intersection of agility and security: You...

We are looking for someone for our Pforzheim location: (Senior) Full Stack Engineer Data & AI   (m/w/d) Hello, we are the Data Analytics department! We bring together 18 specialists in the Data Engineering, Analytics & Reporting (BI) and Data Science (AI) teams. Together, we make data usable throughout the entire company – by building reliable data pipelines, developing meaningful reports for controlling and optimizing processes, using practical AI models and automating workflows with data and tools. Our goal is to improve processes holistically and measurably, enabling well-founded, data-driven decisions. To achieve this, we consistently rely on automation internally. This frees up time for new topics and the further development of existing solutions, instead of investing time in the manual management of completed projects. At the same time, we benefit from short decision-making processes and ample opportunity for professional and technological...

Imagine this: A MedTech client has a great AI idea. Everyone is excited. Nobody is finished. A MONDAY, SOMEWHERE IN A CONFERENCE ROOM. The business department sees enormous potential. IT is asking about integration, security, and operations. Quality wants to see traceability and governance. Management expects a roadmap. Somewhere between enthusiasm, uncertainty, and time pressure lies the architectural decision, without anyone to make it properly. We're looking for someone like you for exactly this moment. Someone who combines technical depth, consulting experience, and decisiveness. Someone who recognizes when a use case is viable – and when the data and process foundations are lacking before anyone even considers LLMs. What you can expect from us: You don't build AI showcases. You build solutions that run in production. Bringing order to complex AI projects:   Target architectures for data/AI platforms on Azure, Databricks, Snowflake or AWS – including...

For a long-term project with our client in the Solothurn area (with remote work component), we are looking for a Professional Data Scientist / DevSecOps Engineer (m/f/d) - Data Engineering / Azure Synapse / ETL / Cloud DWH. Key Facts Start: June 15, 2026 Duration: 6 months / Utilization: 100% Type of assignment: Location: Remote Country of assignment: Switzerland Your tasks Collaboration with technical stakeholders to develop solutions that prioritize impact and benefits. Development and provision of data foundations for professional decision-makers Further development and maintenance of data marts, data lakes and cloud data warehouses, as well as ensuring data quality. Development and operation of a digital twin product with near real-time data and stream processing functionalities. Design and development of automated, scalable data pipelines as well as integration and deployment workflows in ETL processes and their documentation Expansion and...

workplace Berlin   Full job description At Moody's, we unite the brightest minds to turn today's risks into tomorrow's opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are—with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody's is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we're advancing AI to move from insight to action—enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence. If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with...

Full job description ABOUT THE ROLE: As a Data Analyst, you will be responsible for all kinds of analysis within the company. You will be in close cooperation with the stakeholders from all departments (Marketing, Product, Customer Success, Sales, Management, GTM etc.), helping us define their KPIs and come up with data use cases that will help the business in all its operations. You will be at the forefront of all synergies between the business and the rest of the data team by aligning on the data strategy, specifying use cases and KPIs, writing requests for the data engineers, etc. Based on the data warehouse models, you will be responsible for advanced analytics and reporting that you will deliver to the whole company. Your main focus will be Product and Customer Success. ONCE YOU ARE HERE YOU WILL: Improve business processes and empower the stakeholders to make better decisions by defining KPIs and coming up with analysis ideas that would benefit the...

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...

Mission The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies What You'll Do Lead the design, architecture,...