Company Description Were Nagarro. We are a digital product engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale — across all
Munich Re is a global market leader in re-insurance, global specialty insurance and digital solutions. New technologies are disrupting the insurance value chain. Our innovative minds in IT spearhead the transformation and make change happen. We
Avanade ist ein führender Anbieter von digitalen und Cloud-Diensten, Business Solutions und designorientierten Anwendungen. Als Joint Venture von Microsoft und Accenture sind wir das größte Beratungsunternehmen für Microsoft-Technologien. Wir unterstützen unsere Kunden in Cloud, Modern Workplace,
We help the world run better At SAP, we keep it simple: you bring your best to us, and well bring out the best in you. Were builders touching over 20 industries and 80% of global
We help the world run better At SAP, we keep it simple: you bring your best to us, and well bring out the best in you. Were builders touching over 20 industries and 80% of global
Company Description Were Nagarro. We are a digital product engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale — across all
We help the world run better At SAP, we keep it simple: you bring your best to us, and well bring out the best in you. Were builders touching over 20 industries and 80% of global
DEINE AUFGABEN Du unterstützt beim Aufbau von Datenbanken und Datenintegrationsprozessen Du wirkst bei der Entwicklung von Datenmodellen und Datenpipelines für moderne Data Lakes, Data Warehouses oder Lakehouses mit Du unterstützt bei der Dokumentation und Strukturierung von Datenplattformen und Prozessen
Lust auf eine besondere Herausforderung? Du möchtest als Senior Data Engineer nicht bei null anfangen, sondern eine bestehende Data Platform gezielt weiterentwickeln und nachhaltig prägen? Bei uns ist Data mehr als ein Trend – wir machen Daten zu einem
Were building a connected, end-to-end Enterprise AI engine - uniting data foundations, AI technology, process reinvention, and business-facing AI to accelerate results across the whole value chain. Success depends on being exceptional connectors: youll actively leverage existing
FEQ427R153 At Databricks, our core principles are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible
About Zscaler Zscaler accelerates digital transformation to ensure our customers can be more agile, efficient, resilient, and secure. As an AI-forward enterprise, we are constantly pushing the envelope, leveraging the world’s largest security data lake to power our
CSQ327R193 As a Senior Engagement Manager at Databricks, you will play a critical role in leading and scaling the Forward Deployed Engineering (FDE) motion across a Business Unit or region. This position is ideal for someone
Celonis is the global leader in Process Intelligence and the pioneer of Process Mining technology. As one of the world’s fastest-growing enterprise SaaS companies, we are changemakers pushing the boundaries of what’s possible. We invest heavily
Company Description Scalable Capital is a leading digital investment and banking platform with a full banking licence, empowering people across Europe to shape their own finances. Scalable Broker makes it easy and affordable for clients to
Company overview: Machine Learning Reply provides customized end-to-end solutions in the data science field that cover the entire project life cycle - from initial strategic consulting to data architecture and infrastructure topics, through to data processing and quality assurance
Company Description Scalable Capital is a leading digital investment and banking platform with a full banking licence, empowering people across Europe to shape their own finances. Scalable Broker makes it easy and affordable for clients to
Minimum qualifications: Bachelors degree in Computer Science, a related field, or equivalent practical experience. 7 years of experience in software or data engineering, including one or more programming languages (e.g., Python, Go, Java), and with design patterns,
FEQ427R180 The data and AI market is at an inflection point: organisations are moving from isolated pilots to platform decisions that shape how they build, operate, and scale for years to come. This creates a significant opportunity
Minimum qualifications: Bachelors degree in Computer Science, a related field, or equivalent practical experience. 6 years of experience in software or data engineering. Experience solving real-world problems using machine learning methodologies (deep learning, reinforced learning), model identification,