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Startdatum Wir suchen Dich ab sofort an einem unserer deutschen Standorte in München, Nürnberg, Leipzig, Berlin, Essen oder Frankfurt am Main ! Deine Aufgaben Data und AI sind Dein zu Hause? Des Weiteren gestaltet sich Deine neue Herausforderung wie folgt: Übernahme der fachlichen Verantwortung für die Betreuung und Entwicklung von Demonstratoren für unser Business Development Aktive Verfolgung aktueller Trends und Entwicklungen im Bereich Generative AI durch kontinuierliche Recherche und das Experimentieren mit neuen Tools Übernahme der Leitung oder auch Mitarbeit an Projekten mit Schwerpunkt auf dem technischen Steering - Besonderes Augenmerk liegt hier auf der Qualitätssicherung in den Bereichen Data Science und Prompt Engineering Konzeption und Umsetzung von internen Schulungen, um das Wissen im Team zu vertiefen und die kontinuierliche Weiterbildung innerhalb des Unternehmens zu fördern Aktive Teilnahme an relevanten Konferenzen sowie das Halten von Vorträgen, um das erlangte Wissen zu teilen und als Expert:in und Repräsentant:in unseres Unternehmens aufzutreten Unterstützung unseres Sales Teams bei der Kundenakquise durch überzeugende Präsentationen (Pitches) technischer Lösungen Skizzieren von Architekturbildern für Generative KI-Lösungen Dein Profil Data ist auch in Deiner DNA? Das solltest Du mitbringen: Abgeschlossenes Studium im Bereich Informatik, Data Science, Mathematik oder einem naturwissenschaftlichen Studiengang Fließende Kommunikationsfähigkeit auf Deutsch und Englisch sowie Reisebereitschaft im Rahmen einer Consulting Tätigkeit Erfahrung in der Entwicklung von Generative AI-Modellen und deren Anwendung in realen Projekten Starke analytische Fähigkeiten und die Fähigkeit, komplexe technische Konzepte verständlich zu kommunizieren sowie out-of-the-box-thinking Hohes Engagement für kontinuierliches Lernen und Erproben neuer Tools und Technologien Sehr gute Kenntnisse im Coding und Software Development (Python, object oriented), mit Cloud Technologien (Azure, AWS), in OpenAI API/ Aleph Alpha API und HuggingFace Idealerweise Erfahrungen im probabilistic modeling, text processing & NLP, transformer, conversational AI, stable diffusion, hardware accelerators, physical computing, operation of local (open source) foundation models & finetuning Wir bieten Data bewegt uns! Was Dich auf Deiner persönlichen Journey erwartet, findest Du hier: Work-Life-Balance Vertrauensarbeitszeit mit flexibler Arbeitszeitgestaltung, hybrides Arbeitsmodell, workation – nutze die Möglichkeit aus dem EU-Ausland zu arbeiten Kultur & Zusammenarbeit Einzigartige Teamatmosphäre, flache Hierarchien zu unserem CEO Alex sowie eine offene Feedbackkultur, jährliche Teamworkshops auf unserem Data.Castle im Zillertal, gelebtes Data.Musketeer Prinzip – "einer für alle, alle für einen!", unser [at] Buddy Programm zur besseren Vernetzung, regelmäßig stattfindende Fach- und Freizeitevents, hundefreundliche Büros Fachliche & persönliche Entwicklung Intensiver Onboarding- & Einarbeitungsprozess, persönlicher Entwicklungsplan und individuelle Weiterbildungsmöglichkeiten, vielfältiges Workshop- und Schulungsangebot innerhalb der Data.Academy durch unsere erfahrenen Data.Musketeers sowie externen Anbieter, Führungs-, Projektleiter- und Expertenlaufbahn Vergütung & Zusatzleistungen Kita-Zuschuss, Betriebliche Altersvorsorge mit 20% Bezuschussung, zahlreiche Corporate Benefits & Mitarbeiterangebote (z.B. für Events und Reisen), Startguthaben in unserem internen Merchandise-Shop, kompetitives Gehalt mit variablen Anteilen Gesundheit & Wohlbefinden Mental Health & Wellbeing Support sowie Coaching und Meditation durch nilo.health, Fitness- und Yogaräume im Münchner Office, regelmäßige Mitarbeiterumfragen, EGYM Well Pass Mitgliedschaft mit Plus1 Option, Fahrradleasing über Jobrad nach der Probezeit, interne Gruppen für sportliche Aktivitäten, kostenlose Heiß- und Erfrischungsgetränke sowie frisches Obst im Office, Dachterrasse (Grill) Mobilität Zuschuss zum Deutschlandticket, zentrale Lage der Offices, gute Anbindung an den Öffentlichen Nahverkehr, Möglichkeit von anderen Standorten zu arbeiten Ansprechpartnerin Eugenia Riger, Senior People Operations Manager Find more English Speaking Jobs in Germany on Arbeitnow

Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we're unlocking new possibilities as one global team. Join us in our mission to transform the way people shop and eat, where impact, innovation and growth drive everything we do. Our Engineering teams tackle complex technical challenges across a global, three-sided marketplace, building and scaling systems that serve millions of customers, riders and partners every day. We're looking for a Machine Learning Engineering Manager to join us in London on a hybrid basis (3 days a week). In this role, you'll lead the team that owns intelligence across our ordering experience, from store page and item selection through cart, upsell and checkout, plus bundling. Personalisation is one of the biggest levers we have to drive value to our customers, and your team will make the app feel less like a generic catalogue and more like one that understands what each customer is trying to do. What you'll be doing Lead and develop a high-performing team of around 12 Machine Learning Engineers, distributed across multiple pods and spread across London, Finland and Berlin, fostering a culture of technical excellence, ownership and rapid experimentation. Own and evolve the ranking, recommendation and personalisation systems across ordering surfaces, helping customers find the right items quickly as our selection grows. Set the technical vision for the team's ML ecosystem, balancing near-term product goals with longer-term bets on areas like on areas across recommendations to agentic approaches, and intent-aware experiences that adapt dynamically to how customers browse and act. Lead the unification of our recommendation models across brands (Deliveroo, Wolt and DoorDash) and markets, working out how to power personalisation at global scale while keeping it feeling hyperlocal, and how to balance reusable core models against surface-specific adaptations without ending up with a sprawl of models. Partner with Product, Data Science and neighbouring engineering teams to identify high-impact opportunities, define roadmaps and translate ambiguous business problems into ML solutions. Provide technical guidance on modelling approaches, ML system design and production architecture, stepping in to challenge modelling decisions where needed without becoming a bottleneck. Drive key marketplace metrics such as conversion and engagement, balancing velocity and scope against sustainable, long-term technical quality. Stay close to the code so you understand how your team actually works, and help evolve the AI-assisted engineering practices and tooling that empower the team. What you'll need to thrive Proven experience line-managing ML Engineers, ideally 6 or more direct reports, with a track record of building high-performing teams, coaching engineers through career progression and managing a horizontally distributed team across multiple pods or workstreams. Significant experience building and deploying machine learning systems in production at scale, in areas like Recommendations, Personalisation, Search, Ranking or Information Retrieval. Strong stakeholder management across product, engineering and business functions, with experience working across multiple teams and geographies. A pragmatic, impact-focused mindset, prioritising outcomes and customer experience over theoretical perfection. Why Join Us? At Deliveroo, you'll do work that matters—solving real-world problems in a three-sided marketplace that's constantly evolving. We're food lovers, problem solvers, community builders and more, brought together by a shared drive to make things better. Working here you can expect to: 🔧 Solve meaningful problems at real scale - Work on a complex, always-on marketplace that impacts millions every day. 🌱 See your impact, fast - Ship, test and improve ideas quickly in a low-hierarchy, high-ownership environment. 🧠 Grow through challenge and ownership - Take on big, ambiguous problems and accelerate your career with strong support. 🌎 A culture built for builders - High standards, collaboration, flexible working and continuous learning. ​​💰 Share in the success you help create - Competitive salary and equity options, so you're rewarded for the impact you make. ➡️ Want a deeper look at how we build? Check out our Tech Blog . Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We're committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you'll have the opportunity to let us know once you've submitted your application. We'll share details on how to request support so we can ensure you have a fair and equitable experience. If you're excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we'd love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness . 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About Wolt At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we're building the delivery of (almost) everything and you'll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe. Working at Wolt isn't always easy, but it's definitely exciting. Here you'll learn more, build more, and ship more than in most other companies. You'll be challenged a lot, but also have a lot of fun on the way. So, if you're a self-starter with drive and entrepreneurial spirit, this could be the ride of your life. About the Support Group As the name Support Group implies, this group is responsible for the core part of the customer experience journey that has got Wolt top-notch ratings in app stores. During the years we've invested a lot in the in-house built support tooling as we believe that it's the only way we can ensure the satisfaction of all of our customers and partners in each of the 25 countries that we operate in. We take huge pride in our customer operations' quality, so on top of building delightful support experiences in our consumer app we also want to proactively identify and solve issues even before our customers and partners even notice something might be wrong. About the Support Analytics Team Our Support Analytics team's main goal is to deliver an amazing Customer, Merchants & Courier support experience while optimizing our operations by providing actionable insights and quantifying the impact of those actions on the overall business. 💡 You'll be part of this team working with top Data Science and Analytics Engineering professionals. What you'll be doing As a Senior Data Scientist at Wolt, your role involves diving into our data to solve crucial business problems. The scope of this role ranges from diagnosing problem areas to identifying solutions to designing experiments and ultimately influencing decision-making. This is a rare, operational, and actionable data-driven experience. When you join this team, you will be driving action from the frontlines, rather than just doing yet another analytics role. Your job will mainly focus on driving operational efficiency with the Workforce Management (WFM) team and optimizing resource allocation by creating accurate scheduling and intraday forecasts, simplifying forecasting processes, building and supporting KPI dashboards, conducting root cause analysis for SLA improvements, exploring cost optimization opportunities, managing the capacity plan framework, enhancing the WFM data pipeline, and uncovering data-driven insights to refine planning, scheduling, reporting, and intraday management. Our humble expectations Required: 5+ years of experience in a data science or analytics position Experience building forecasting models and time series analysis (Prophet, SARIMA, Holt-Winters or similar) Experience in Cost Analysis and What-if Scenario Analysis Deep knowledge of statistical packages in Python or R Proficiency in writing structured and efficient SQL queries for large data sets Ability to influence and advise senior stakeholders Good to have: Experience using ML for forecasting Experience working with ML engineers/ML platform Building data pipelines using Airflow or similar tools What we offer The online delivery platform that Wolt is building will offer you interesting and complex challenges, together with the opportunities to create a big impact with your skills. Lots of geolocational and temporal data in real-time, combined with differences in the economics and dynamics of the cities we operate in, make Wolt both a challenging and interesting company to practice analytics. You have the chance to decide the ways of working: a hybrid, at the office, or remote in Berlin. 💙 You would get to work in a company culture where we take ownership beyond the obvious, do common things uncommonly well, we think big but stay humble, do right by people, we treat others kindly and justly, recognize that if we don't learn, we won't stay still but fall behind and keep in mind that Luke was Yoda's greatest achievement. Next steps The position will be filled as soon as we find the right person, so make sure to apply as soon as you realize you really, really want to join us! For any further questions about the position, you can turn to Senior Talent Acquisition Partner - Zhanna Filintseva via Our Commitment to Diversity and Inclusion We're committed to growing and empowering a more inclusive community within our company, industry, and cities. That's why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring — learn more about our legitimate recruiting process at Recruitment Scam Awareness - DoorDash . Find Jobs in Germany on Arbeitnow

About Wolt At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we're building the delivery of (almost) everything and you'll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe. Working at Wolt isn't always easy, but it's definitely exciting. Here you'll learn more, build more, and ship more than in most other companies. You'll be challenged a lot, but also have a lot of fun on the way. So, if you're a self-starter with drive and entrepreneurial spirit, this could be the ride of your life. About the Support Group As the name Support Group implies, this group is responsible for the core part of the customer experience journey that has got Wolt top-notch ratings in app stores. During the years we've invested a lot in the in-house built support tooling as we believe that it's the only way we can ensure the satisfaction of all of our customers and partners in each of the 25 countries that we operate in. We take huge pride in our customer operations' quality, so on top of building delightful support experiences in our consumer app we also want to proactively identify and solve issues even before our customers and partners even notice something might be wrong. About the Support Analytics Team Our Support Analytics team's main goal is to deliver an amazing Customer, Merchants & Courier support experience while optimizing our operations by providing actionable insights and quantifying the impact of those actions on the overall business. 💡 You'll be part of this team working with top Data Science and Analytics Engineering professionals. What you'll be doing As a Senior Data Scientist at Wolt, your role involves diving into our data to solve crucial business problems. The scope of this role ranges from diagnosing problem areas to identifying solutions to designing experiments and ultimately influencing decision-making. This is a rare, operational, and actionable data-driven experience. When you join this team, you will be driving action from the frontlines, rather than just doing yet another analytics role. Your job will mainly focus on driving operational efficiency with the Workforce Management (WFM) team and optimizing resource allocation by creating accurate scheduling and intraday forecasts, simplifying forecasting processes, building and supporting KPI dashboards, conducting root cause analysis for SLA improvements, exploring cost optimization opportunities, managing the capacity plan framework, enhancing the WFM data pipeline, and uncovering data-driven insights to refine planning, scheduling, reporting, and intraday management. Our humble expectations Required: 5+ years of experience in a data science or analytics position Experience building forecasting models and time series analysis (Prophet, SARIMA, Holt-Winters or similar) Experience in Cost Analysis and What-if Scenario Analysis Deep knowledge of statistical packages in Python or R Proficiency in writing structured and efficient SQL queries for large data sets Ability to influence and advise senior stakeholders Good to have: Experience using ML for forecasting Experience working with ML engineers/ML platform Building data pipelines using Airflow or similar tools What we offer The online delivery platform that Wolt is building will offer you interesting and complex challenges, together with the opportunities to create a big impact with your skills. Lots of geolocational and temporal data in real-time, combined with differences in the economics and dynamics of the cities we operate in, make Wolt both a challenging and interesting company to practice analytics. You have the chance to decide the ways of working: a hybrid, at the office, or remote in Berlin. 💙 You would get to work in a company culture where we take ownership beyond the obvious, do common things uncommonly well, we think big but stay humble, do right by people, we treat others kindly and justly, recognize that if we don't learn, we won't stay still but fall behind and keep in mind that Luke was Yoda's greatest achievement. Next steps The position will be filled as soon as we find the right person, so make sure to apply as soon as you realize you really, really want to join us! For any further questions about the position, you can turn to Senior Talent Acquisition Partner - Zhanna Filintseva via Our Commitment to Diversity and Inclusion We're committed to growing and empowering a more inclusive community within our company, industry, and cities. That's why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring — learn more about our legitimate recruiting process at Recruitment Scam Awareness - DoorDash . Find Jobs in Germany on Arbeitnow

Startdatum Wir suchen Dich ab sofort an einem unserer deutschen Standorte in München, Nürnberg, Essen, Leipzig, Berlin oder Frankfurt am Main ! Deine Aufgaben Data und AI sind Dein zu Hause? Des Weiteren gestaltet sich Deine neue Herausforderung wie folgt: Konzeptionierung und Aufbau von Big Data / Analytics / AI Plattformen, inklusive DevOps workflows, IaC, CI/CD, IAM und Monitoring & Alerting Konzeption, Entwicklung und Skalierung von Daten-Pipelines auf verschiedenen Cloud-Architekturen unter Einbezug von Datenqualitätsmaßnahmen sowie der Entwurf und Umsetzung von Datenmodellen Operationalisierung von statistischen und KI-Modellen sowie Ergebnissen der Data Scientists, um diese zur produktiven Nutzung zur Verfügung zu stellen bzw. zu automatisieren Auswahl und Beratung von Kunden zu Vor- und Nachteilen verschiedener Technologie-Stacks, passend zu den Use Cases und dem Umfeld im Unternehmen Übernahme einer führenden Rolle in der Kundenkommunikation und Leitung von Engineering-Projekten mit fachlicher Verantwortung für ein Entwicklerteam und die Projektergebnisse Aufbau von Data Engineering Expertise im Unternehmen z.B. durch das Halten von internen Schulungen, Leiten von internen Projekten und aktive Teilnahme in der Engineering Community Dein Profil Data ist auch in Deiner DNA? Das solltest Du mitbringen: Erfolgreich abgeschlossenes Studium der Informatik, Computer Science, Data Engineering oder einem anderen mathematisch/ naturwissenschaftlichem Feld oder eine vergleichbare Qualifikation Starke Kommunikationsfähigkeit (fließend) auf Deutsch und Englisch sowie Reisebereitschaft im Rahmen einer Consulting Tätigkeit Mindestens 6 Jahre Vollzeit Berufserfahrung als Data Engineer in der Konzeption & Implementierung von Datenplattformen und Data Management Prozessen oder in ähnlichem Berufsfeld Mindestens 5 Jahre praktische Anwendung von gängigen Programmsprachen wie z.B. Python, Scala, SQL und Entwickler Tools wie bspw. GIT Mindestens 4 Jahre Umsetzungserfahrung mit BigData Technologien, insbesondere Spark / Kafka, verteilte Speichersysteme, OpenTable Formate und Cluster-Computing Mindestens 4 Jahre Erfahrung im Umgang mit verschiedensten Cloud Komponenten (Object Storage, Datenbanken, Message Services, ETL / ELT Engines, Security, Scheduling, Operations, Monitoring, etc.) im Bereich AWS / Azure / GCP Erfahrung mit mindestens einer der folgenden Technologien: Databricks / Snowflake / AWS Sagemaker / Azure Synapse / ähnliche Data-Analytics-Plattformen Erfahrung mit IaC Tools wie zum Beispiel Terraform, AWS CDK o.ä. sowie mit gängigen CI/CD Prozessen und Tools Nice to have: Erfahrung mit UNIX Systemen und Netzwerkkonfiguration Wir bieten Data bewegt uns! Was Dich auf Deiner persönlichen Journey erwartet, findest Du hier: Work-Life-Balance Vertrauensarbeitszeit mit flexibler Arbeitszeitgestaltung - ob voll remote oder in einem unserer modern eingerichteten Innenstadtbüros (inkl. Dachterrasse), workation - nutze die Möglichkeit aus dem EU-Ausland zu arbeiten Kultur & Zusammenarbeit Einzigartige Teamatmosphäre, flache Hierarchien zu unserem CEO Alex sowie eine offene Feedbackkultur, jährliche Teamworkshops auf unserem Data.Castle im Zillertal, gelebtes Data.Musketeer Prinzip – "einer für alle, alle für einen!", unser [at] Buddy Programm zur besseren Vernetzung, regelmäßig stattfindende Fach- und Freizeitevents, hundefreundliche Büros Fachliche & persönliche Entwicklung Intensiver Onboarding- & Einarbeitungsprozess, persönlicher Entwicklungsplan und individuelle Weiterbildungsmöglichkeiten, vielfältiges Workshop- und Schulungsangebot innerhalb der Data.Academy durch unsere erfahrenen Data.Musketeers sowie externen Anbieter, Führungs-, Projektleiter- und Expertenlaufbahn Vergütung & Zusatzleistungen Kita-Zuschuss, Betriebliche Altersvorsorge mit 20% Bezuschussung, zahlreiche Corporate Benefits & Mitarbeiterangebote (z.B. für Events und Reisen), Startguthaben in unserem internen Merchandise-Shop, kompetitives Gehalt mit variablen Anteilen Gesundheit & Wohlbefinden Mental Health & Wellbeing Support sowie Coaching und Meditation durch nilo.health, Fitness- und Yogaräume im Münchner Office, regelmäßige Mitarbeiterumfragen, EGYM Well Pass Mitgliedschaft mit Plus1 Option, Fahrradleasing über Jobrad nach der Probezeit, interne Gruppen für sportliche Aktivitäten, kostenlose Heiß- und Erfrischungsgetränke sowie frisches Obst im Office, Dachterrasse (Grill) Mobilität Zuschuss zum Deutschlandticket, zentrale Lage der Offices, gute Anbindung an den Öffentlichen Nahverkehr, Möglichkeit von anderen Standorten zu arbeiten Ansprechpartnerin Janine Sauer, Senior HR Manager Find Jobs in Germany on Arbeitnow

Startdatum Wir suchen Dich ab sofort an einem unserer deutschen Standorte in München, Nürnberg, Leipzig, Berlin, Frankfurt am Main oder Essen ! Deine Aufgaben Data und AI sind Dein zu Hause? Des Weiteren gestaltet sich Deine neue Herausforderung wie folgt: Du gestaltest und leitest zielstrebig herausfordernde Data Science Projekte in einem interdisziplinärem Team Routiniert erkennst Du die Bedürfnisse Deines Kunden und entwickelst effektive, datengetriebene Lösungen Aus den Datensätzen Deiner Kunden extrahierst Du die für die Aufgabenstellung entscheidenden Daten Du kreierst innovative Lösungen mithilfe moderner Methoden aus den Bereichen Statistik, Machine Learning, mathematischer Optimierung und Visual Analytics Enge Zusammenarbeit mit Deinem Tribe Lead (Vorgesetzte:r) Du kommunizierst Deine Ergebnisse erfolgreich Deinem Kunden und begleitest anschließend die umfassende Implementierung Deiner Idee zusammen mit dem Data Engineering Team Als Expert:in mit Fachwissen nimmst Du an Kundenterminen teil Dein Profil Data ist auch in Deiner DNA ? Das solltest Du mitbringen: Abgeschlossenes Studium im Bereich Informatik, Data Science, Mathematik oder einem datengetriebenem Studiengang Fließende Deutsch- und Englischkenntnisse in Wort und Schrift sind erforderlich Starke analytische Fähigkeiten und die Fähigkeit, komplexe technische Konzepte verständlich zu kommunizieren sowie out-of-the-box-thinking Hohes Engagement für kontinuierliches Lernen und Erproben neuer Tools und Technologien. Mindestens 5 Jahre Projekterfahrung im Data Umfeld, idealerweise in einem Beratungsunternehmen Mindestens 3 Jahre praktische Erfahrung mit Cloud Technologien (Azure, AWS) Sehr gute Kenntnisse in Software Development (Python, object oriented) Praktische Erfahrung in Data Science Bereichen wie LLMs/NLP (z.B. Transformer, Conversational AI) oder Computer Vision (z.B. Stable Diffusion, OCR) Wir bieten Data bewegt uns! Was Dich auf Deiner persönlichen Journey erwartet, findest Du hier: Work-Life-Balance Vertrauensarbeitszeit mit flexibler Arbeitszeitgestaltung, hybrides Arbeitsmodell, workation – nutze die Möglichkeit aus dem EU-Ausland zu arbeiten Kultur & Zusammenarbeit Einzigartige Teamatmosphäre, flache Hierarchien zu unserem CEO Alex sowie eine offene Feedbackkultur, jährliche Teamworkshops auf unserem Data.Castle im Zillertal, gelebtes Data.Musketeer Prinzip – "einer für alle, alle für einen!", unser [at] Buddy Programm zur besseren Vernetzung, regelmäßig stattfindende Fach- und Freizeitevents, hundefreundliche Büros Fachliche & persönliche Entwicklung Intensiver Onboarding- & Einarbeitungsprozess, persönlicher Entwicklungsplan und individuelle Weiterbildungsmöglichkeiten, vielfältiges Workshop- und Schulungsangebot innerhalb der Data.Academy durch unsere erfahrenen Data.Musketeers sowie externen Anbieter, Führungs-, Projektleiter- und Expertenlaufbahn Vergütung & Zusatzleistungen Kita-Zuschuss, Betriebliche Altersvorsorge mit 20% Bezuschussung, zahlreiche Corporate Benefits & Mitarbeiterangebote (z.B. für Events und Reisen), Startguthaben in unserem internen Merchandise-Shop, kompetitives Gehalt mit variablen Anteilen Gesundheit & Wohlbefinden Mental Health & Wellbeing Support sowie Coaching und Meditation durch nilo.health, Fitness- und Yogaräume im Münchner Office, regelmäßige Mitarbeiterumfragen, EGYM Well Pass Mitgliedschaft mit Plus1 Option, Fahrradleasing über Jobrad nach der Probezeit, interne Gruppen für sportliche Aktivitäten, kostenlose Heiß- und Erfrischungsgetränke sowie frisches Obst im Office, Dachterrasse (Grill) Mobilität Zuschuss zum Deutschlandticket, zentrale Lage der Offices, gute Anbindung an den Öffentlichen Nahverkehr, Möglichkeit von anderen Standorten zu arbeiten Ansprechpartnerin Janine Sauer, Senior HR Managerin Find more English Speaking Jobs in Germany on Arbeitnow

Our goal is to have a solar system on every roof, a storage unit in every house, and an electric car in every garage. Enpal makes this possible with an integrated total solution for decentralized energy—from solar systems and battery storage to wall boxes, smart meters, and heat pumps. At the heart of it all is our AI-powered platform Enpal.One +, which intelligently connects thousands of systems and efficiently optimizes electricity procurement and feed-in on the energy market. Are you ready for solutions that are more than just a promise and bring real quality of life to thousands of households every day? What you create at Enpal will deliver clean electricity tomorrow and bring about lasting change in how we use energy. We are looking for a Data & Analytics Manager to lead an international BI and Data Analytics team across EMEA. This hands-on role combines people management, technical leadership, stakeholder management, and end-to-end data project delivery. You will translate business priorities into execution plans, guide technical decisions, unblock the team, and deliver reliable data products for BI, self-service analytics, and AI-enabled use cases. What you'll do Lead, coach, and develop an international BI and Data Analytics team. Build a motivating, accountable, and change-oriented team environment. Model clean, documented datasets in dbt, from staging through to marts. Own tests, documentation, metric definitions, data contracts, and version control workflows. Develop a semantic layer with governed metrics and dimensions. Drive the ongoing adoption of dbt best practices, ensuring models and documentation are consistent, well-structured, and ready for AI-powered analytics. Support team in the diagnosis of source data issues, reconciliation inconsistencies, and establishment of a single source of truth. Support data migration, ELT pipelines, and data platform consolidation. Optimize Snowflake performance, data freshness, and data quality. Own and continuously improve the processes that keep our data platform reliable. Use Python for data checks, automation, and utilities. Partner with BI and business teams to deliver certified datasets, self-service standards, and end-to-end reporting solutions. Translate business needs into scalable data products and governed metrics. Turn business priorities into project plans, identify risks and trade-offs, unblock the team, and drive delivery to completion. Mentor the team on analytics engineering best practices, modern tooling, and AI-assisted development. What you'll bring 3+ years of experience in Analytics Engineering, BI Development, Data Engineering, or a related field, including 1+ years of people or team leadership. Expert-level SQL and strong data modeling and architecture skills, including star schemas, semantic layers, governed metrics, data contracts, and ELT pipelines. Hands-on experience building production-grade dbt projects, including staging-to-marts layering, tests, documentation, ownership, and version-control workflows. Snowflake experience, including query performance optimization, data freshness, and quality monitoring. Python skills for data checks, automation, and utilities. Experience with data quality and operations, including testing, monitoring, source-data reconciliation, CI/CD, data cataloging, and cost/performance tuning. Experience creating dbt models and documentation, AI-ready data products, and using AI-assisted development tools. Experience delivering certified datasets, self-service standards, and BI/reporting solutions end-to-end. Strong stakeholder management and communication skills, with a hands-on, entrepreneurial, and problem-solving mindset. A motivational leadership style, positive drive for change, and confidence to challenge assumptions and make decisions. Nice to have Experience with semantic layer tools such as dbt MetricFlow or Snowflake Semantic Views. Experience with AWS, Azure, or GCP. Experience leading distributed or international teams. German language skills. German is a strong plus but not mandatory. Are you interested even if you don't meet all the requirements? Apply anyway! We look forward to discovering your potential—regardless of whether your experience meets every single requirement. ☀️ What we offer Work at Germany's first green unicorn - Play an active role in shaping the solar energy transition. The sun shines all over the world - At Enpal, you'll work with a highly motivated, diverse team of over 65 nationalities. The ideal setup for your focus - We are convinced that excellent results are achieved when the conditions are right. That's why we rely on a hybrid working concept that gives you the freedom to always work in the way that best suits your tasks. Do you need new inspiration on an international level? With Workflex, we offer you the opportunity to relocate abroad for up to 30 days a year, depending on your responsibilities. Grown-up business & startup spirit - In our modern office in Berlin-Friedrichshain, you'll find everything your heart desires, from height-adjustable desks and table tennis to stocked beverage fridges and barista coffee. Your kick-start at Enpal - Onboarding day with a welcome bag, buddy program, and a team that really supports you. Stay up to date & help shape the future - Transparent all-hands meetings, short decision-making processes, and an open feedback culture - without mistakes, there is no progress. The energy transition can only be achieved together - At Enpal, you can expect legendary team spirit and unforgettable team events. Your extra boost - 29 + 2 vacation days, discounted membership at Wellhub, and corporate benefits. Everything you need to help you achieve a good work-life balance. At Enpal, we are proud of the diversity of our team. No decisions are made on the basis of skin colour, religion or religious belief, ethnic or national origin, nationality, gender identity, sexual orientation, disability or age, either during recruitment or employment. Enpal stands for a safe workplace and takes action against discrimination and harassment of any kind. Find Jobs in Germany on Arbeitnow

Our goal is to have a solar system on every roof, a storage unit in every house, and an electric car in every garage. Enpal makes this possible with an integrated total solution for decentralized energy—from solar systems and battery storage to wall boxes, smart meters, and heat pumps. At the heart of it all is our AI-powered platform Enpal.One +, which intelligently connects thousands of systems and efficiently optimizes electricity procurement and feed-in on the energy market. Are you ready for solutions that are more than just a promise and bring real quality of life to thousands of households every day? What you create at Enpal will deliver clean electricity tomorrow and bring about lasting change in how we use energy. We are looking for a BI & Data Analytics Team Lead to lead an international BI and Data Analytics team across EMEA. This hands-on role combines people management, technical leadership, stakeholder management, and end-to-end data project delivery. You will translate business priorities into execution plans, guide technical decisions, unblock the team, and deliver reliable data products for BI, self-service analytics, and AI-enabled use cases. What you'll do Lead, coach, and develop an international BI and Data Analytics team. Build a motivating, accountable, and change-oriented team environment. Model clean, documented datasets in dbt, from staging through to marts. Own tests, documentation, metric definitions, data contracts, and version control workflows. Develop a semantic layer with governed metrics and dimensions. Drive the ongoing adoption of dbt best practices, ensuring models and documentation are consistent, well-structured, and ready for AI-powered analytics. Support team in the diagnosis of source data issues, reconciliation inconsistencies, and establishment of a single source of truth. Support data migration, ELT pipelines, and data platform consolidation. Optimize Snowflake performance, data freshness, and data quality. Own and continuously improve the processes that keep our data platform reliable. Use Python for data checks, automation, and utilities. Partner with BI and business teams to deliver certified datasets, self-service standards, and end-to-end reporting solutions. Translate business needs into scalable data products and governed metrics. Turn business priorities into project plans, identify risks and trade-offs, unblock the team, and drive delivery to completion. Mentor the team on analytics engineering best practices, modern tooling, and AI-assisted development. What you'll bring 3+ years of experience in Analytics Engineering, BI Development, Data Engineering, or a related field, including 1+ years of people or team leadership. Expert-level SQL and strong data modeling and architecture skills, including star schemas, semantic layers, governed metrics, data contracts, and ELT pipelines. Hands-on experience building production-grade dbt projects, including staging-to-marts layering, tests, documentation, ownership, and version-control workflows. Snowflake experience, including query performance optimization, data freshness, and quality monitoring. Python skills for data checks, automation, and utilities. Experience with data quality and operations, including testing, monitoring, source-data reconciliation, CI/CD, data cataloging, and cost/performance tuning. Experience creating dbt models and documentation, AI-ready data products, and using AI-assisted development tools. Experience delivering certified datasets, self-service standards, and BI/reporting solutions end-to-end. Strong stakeholder management and communication skills, with a hands-on, entrepreneurial, and problem-solving mindset. A motivational leadership style, positive drive for change, and confidence to challenge assumptions and make decisions. Nice to have Experience with semantic layer tools such as dbt MetricFlow or Snowflake Semantic Views. Experience with AWS, Azure, or GCP. Experience leading distributed or international teams. German language skills. German is a strong plus but not mandatory. Are you interested even if you don't meet all the requirements? Apply anyway! We look forward to discovering your potential—regardless of whether your experience meets every single requirement. ☀️ What we offer Work at Germany's first green unicorn - Play an active role in shaping the solar energy transition. The sun shines all over the world - At Enpal, you'll work with a highly motivated, diverse team of over 65 nationalities. The ideal setup for your focus - We are convinced that excellent results are achieved when the conditions are right. That's why we rely on a hybrid working concept that gives you the freedom to always work in the way that best suits your tasks. Do you need new inspiration on an international level? With Workflex, we offer you the opportunity to relocate abroad for up to 30 days a year, depending on your responsibilities. Grown-up business & startup spirit - In our modern office in Berlin-Friedrichshain, you'll find everything your heart desires, from height-adjustable desks and table tennis to stocked beverage fridges and barista coffee. Your kick-start at Enpal - Onboarding day with a welcome bag, buddy program, and a team that really supports you. Stay up to date & help shape the future - Transparent all-hands meetings, short decision-making processes, and an open feedback culture - without mistakes, there is no progress. The energy transition can only be achieved together - At Enpal, you can expect legendary team spirit and unforgettable team events. Your extra boost - 29 + 2 vacation days, discounted membership at Wellhub, and corporate benefits. Everything you need to help you achieve a good work-life balance. At Enpal, we are proud of the diversity of our team. No decisions are made on the basis of skin colour, religion or religious belief, ethnic or national origin, nationality, gender identity, sexual orientation, disability or age, either during recruitment or employment. Enpal stands for a safe workplace and takes action against discrimination and harassment of any kind. Find more English Speaking Jobs in Germany on Arbeitnow

LKQ Canada Auto Parts Inc. is currently recruiting for a full time Mon-Fri, 8:30am-5:00pm indoor forklift driver to join our team. The forklift is a smaller warehouse style that will be used inside in tight spaces and outside in the elements. We offer a good benefit package, competitive wages and a pension plan. We require someone who is capable of lifting 50lbs repeatedly throughout the day, able to get in and out of a forklift repetitively, familiar driving warehouse type equipment, safety conscious, pays attention to detail, organized and can work under varied workloads. Apply online. Job Types: Full-time, Permanent Pay: From $18.00 per hour Benefits: Dental care Employee assistance program Extended health care On-site parking Paid time off RRSP match Experience: Forklift or Order Picking: 1 year (required) Licence/Certification: Drivers License (required) Work Location: In person

Job Description Job Description Warehouse Associate Mississauga, ON $20.05/hour | Full-Time | Day Shift | Weekly Pay Join a Fast-Paced Manufacturing Team 3PL Inc. is currently recruiting a Warehouse Operator for an established food manufacturing facility in Mississauga. This is a great opportunity for someone with warehouse experience who enjoys staying active and takes pride in accuracy, organization and getting the job done right. What You'll Do Receive and verify incoming products and materials Pick, stage and prepare customer orders for shipment Load and unload trucks using material handling equipment Complete shipping, receiving and inventory documentation Perform inventory counts and assist with stock control Use RF scanners to track product movement Rotate inventory using FIFO/FEFO procedures Maintain accurate product and lot traceability Keep warehouse, staging and dock areas clean and organized Work closely with Production, Quality and Logistics teams What We're Looking For Previous warehouse or shipping/receiving experience Forklift and/or walkie/rider pallet jack experience preferred Food, beverage or dairy experience is an asset Comfortable using RF scanners and completing documentation Strong attention to detail and inventory accuracy Reliable, punctual and team-oriented Able to lift up to 50 lbs Comfortable with repetitive lifting, bending and case picking Able to work in refrigerated areas (approximately 0-4°ree;C) The physical and refrigerated-work requirements are specifically identified in the client description. Food Safety & Quality This position works within a food manufacturing environment. Employees are required to follow established GMP, HACCP, SQF, hygiene and food-safety procedures . Why Join 3PL Inc.? $20.05/hour Full-time day shift Weekly pay Consistent hours Hands-on role with variety Established food manufacturing environment Safety and quality-focused workplace Apply Today! If you have warehouse experience, enjoy a hands-on environment and are looking for a full-time day shift in Mississauga , we want to hear from you. Apply today for immediate consideration! This position is offered through 3PL Inc. , a licensed Recruiter and Temporary Help Agency. Successful candidates will be employed by 3PL Inc. and assigned to client worksites. This posting represents an existing vacancy and does not require Canadian experience. Equivalent experience gained in other jurisdictions is welcome. This position offers full time hours on a temporary / assignment basis. This assignment is based on client operational requirements and may be extended, shortened, or concluded at any time. Any changes will be communicated by 3PL Inc. . 3PL Inc. may use automated or artificial intelligence-based tools to assist with candidate screening or assessment during the recruitment process. All final hiring and placement decisions are made by a human recruiter. \nCompany Description Discover the 3PL Inc. Advantage At 3PL Inc., we specialize in connecting talente

About Nscale Nscale is the GPU cloud engineered for AI. We provide cost-effective, high-performance infrastructure for AI start-ups and large enterprise customers. Nscale enables AI-focused companies to achieve superior results by reducing the complexity of AI development. Our GPU cloud bolsters technical capabilities and directly supports strategic business outcomes, including cost management, rapid innovation, and environmental responsibility. We thrive on a culture of relentless innovation, ownership, and accountability, where every team member takes pride in their work and drives it with excellence and urgency. As an Nscaler, you'll build trust through openness and transparency, where everyone is inspired to do their best work. If you join our team, you'll be contributing to building the technology that powers the future. About the Role We're hiring an Infrastructure Engineer (OpenStack Ironic Specialist) to design, operate, and continuously improve the bare metal provisioning platforms that underpin Nscale's infrastructure. This role sits within the Infrastructure Engineering team , which is responsible for the design, implementation, operation, and ongoing improvement of the infrastructure stack supporting both internal and customer-facing services. You'll work closely with network, compute, data centre, support, and pre-sales teams , while also serving as a specialist escalation point for advanced provisioning and hardware issues. This is a high-impact role focused on OpenStack Ironic , automated hardware lifecycle management, and the reliable operation of large-scale physical infrastructure. You'll also help connect Nscale to the broader upstream OpenStack community , ensuring our bare metal platforms evolve in line with real operational needs and industry direction. What you'll be doing Bare Metal Provisioning & Lifecycle Management Design scalable and resilient bare metal provisioning platforms with a strong focus on OpenStack Ironic . Own the full lifecycle of physical infrastructure, including discovery, enrolment, provisioning, cleaning, deprovisioning, and hardware state management. Build and maintain provisioning workflows for a wide range of hardware profiles, including GPU-enabled and high-performance server platforms. Support platform upgrades, lifecycle management, and operational improvements across Ironic and its dependencies. Automation & Platform Integration Manage and improve integrations between Ironic and related OpenStack services such as Nova, Neutron, Glance, Keystone, and Placement . Drive automation for hardware onboarding, firmware and BIOS configuration, deployment workflows, validation, and recovery. Implement infrastructure automation using infrastructure-as-code and configuration management approaches. Ensure provisioning platforms and operational processes align with security, compliance, and operational standards. Troubleshooting, Reliability & Operational Support Troubleshoot complex issues across provisioning pipelines, PXE/iPXE , BMC interfaces, out-of-band management, image deployment, network boot, and hardware compatibility. Act as a 3rd/4th line escalation point for advanced bare metal and provisioning incidents. Perform root cause analysis and implement long-term fixes to improve platform reliability and repeatability. Participate in on-call rotations and incident response activities for critical infrastructure services. Cross-Functional Collaboration & Community Engagement Collaborate with network, compute, data centre, and support teams to deliver reliable physical infrastructure services. Contribute specialist input to infrastructure roadmap planning, capacity expansion, standard builds, and hardware platform qualification. Support pre-sales and solution design efforts with expert guidance on bare metal capabilities, operational models, and deployment constraints. Contribute to upstream OpenStack bare metal communities through bug reports, testing, reviews, design discussions, and code contributions where appropriate. Track upstream roadmaps and release changes to help shape Nscale's bare metal strategy, upgrade planning, and platform standards. KPIs Automated provisioning and hardware onboarding reliability Bare metal incident resolution and root cause closure Platform upgrade and lifecycle delivery across Ironic dependencies Upstream OpenStack Ironic community contribution and adoption alignment About You Strong experience operating Linux systems and troubleshooting production infrastructure Strong specialist knowledge of OpenStack Ironic and the surrounding provisioning ecosystem Strong understanding of bare metal provisioning concepts including PXE/iPXE, DHCP, TFTP/HTTP boot, BMC technologies, RAID configuration, firmware management, disk imaging, and node lifecycle states Strong experience with out-of-band management technologies such as Redfish, IPMI, or vendor management interfaces Strong experience designing and building automation for physical and virtual infrastructure using tools such as Ansible Strong scripting skills in Python and Bash Experience troubleshooting complex provisioning and hardware integration issues across server, network, and management layers Experience operating infrastructure at scale with a focus on reliability, repeatability, and operational safety Ability to collaborate across infrastructure, support, and architecture teams to solve complex technical problems Experience contributing to or working closely with upstream open-source communities, particularly OpenStack, Ironic, Metal3, or related infrastructure projects , is highly desirable What we can offer you At Nscale, you'll find a collaborative, supportive, and innovative environment where your contributions spark real impact. We're building something extraordinary, and we want you at the core. Highly competitive US compensation package (base + bonus + equity), with performance reviews every 12 months. 🚀 Join one of the fastest-growing AI infrastructure companies — your chance to directly shape how global AI capacity is planned and deployed. ✨ Expect a dynamic progression plan tailored to your ambitions. Grow by leading critical cross-functional initiatives and shaping capital strategy — always with our full support. Human-First Flexibility: We treat you as humans first. 🫶🏽 Our flexible workplace trusts Nscalers to deliver, giving you the autonomy to shape your day around life's moments. Equal Opportunities Statement We strongly encourage applications from people of colour, the LGBTQ+ community, people with disabilities, neurodivergent people, parents, carers, and people from lower socio-economic backgrounds. If there's anything we can do to accommodate your specific situation, please let us know. The responsibilities outlined in this job description are not exhaustive and are intended to provide a general overview of the position. The employee may be required to perform additional duties, tasks, and responsibilities as assigned by management, consistent with the skills and qualifications required for the role. For information on how Nscale handles candidate personal data, please see our Employee & Candidate Privacy Notice: Here. For information on how Nscale handles candidate personal data, please see our Employee & Candidate Privacy Notice: Here. Salary Range The range below reflects the base salary for the position. Actual compensation may vary based on job-related factors such as skill set, experience, education, and location. In addition to base salary, this role may be eligible for bonus, equity, and/or commission programs. Nscale may offer a competitive benefits package including medical, dental, vision, flexible paid time off, parental leave, and retirement plan participation. For information on how Nscale handles candidate personal data, please see our Employee & Candidate Privacy Notice: Here. Nscale does not accept unsolicited candidate submissions from recruitment agencies. Find Jobs in Netherlands on Arbeitnow

About Nscale Nscale is the GPU cloud engineered for AI. We provide cost-effective, high-performance infrastructure for AI start-ups and large enterprise customers. Nscale enables AI-focused companies to achieve superior results by reducing the complexity of AI development. Our GPU cloud bolsters technical capabilities and directly supports strategic business outcomes, including cost management, rapid innovation, and environmental responsibility. We thrive on a culture of relentless innovation, ownership, and accountability, where every team member takes pride in their work and drives it with excellence and urgency. As an Nscaler, you'll build trust through openness and transparency, where everyone is inspired to do their best work. If you join our team, you'll be contributing to building the technology that powers the future. About the Role We're hiring an Infrastructure Engineer (OpenStack Ironic Specialist) to design, operate, and continuously improve the bare metal provisioning platforms that underpin Nscale's infrastructure. This role sits within the Infrastructure Engineering team , which is responsible for the design, implementation, operation, and ongoing improvement of the infrastructure stack supporting both internal and customer-facing services. You'll work closely with network, compute, data centre, support, and pre-sales teams , while also serving as a specialist escalation point for advanced provisioning and hardware issues. This is a high-impact role focused on OpenStack Ironic , automated hardware lifecycle management, and the reliable operation of large-scale physical infrastructure. You'll also help connect Nscale to the broader upstream OpenStack community , ensuring our bare metal platforms evolve in line with real operational needs and industry direction. What you'll be doing Bare Metal Provisioning & Lifecycle Management Design scalable and resilient bare metal provisioning platforms with a strong focus on OpenStack Ironic . Own the full lifecycle of physical infrastructure, including discovery, enrolment, provisioning, cleaning, deprovisioning, and hardware state management. Build and maintain provisioning workflows for a wide range of hardware profiles, including GPU-enabled and high-performance server platforms. Support platform upgrades, lifecycle management, and operational improvements across Ironic and its dependencies. Automation & Platform Integration Manage and improve integrations between Ironic and related OpenStack services such as Nova, Neutron, Glance, Keystone, and Placement . Drive automation for hardware onboarding, firmware and BIOS configuration, deployment workflows, validation, and recovery. Implement infrastructure automation using infrastructure-as-code and configuration management approaches. Ensure provisioning platforms and operational processes align with security, compliance, and operational standards. Troubleshooting, Reliability & Operational Support Troubleshoot complex issues across provisioning pipelines, PXE/iPXE , BMC interfaces, out-of-band management, image deployment, network boot, and hardware compatibility. Act as a 3rd/4th line escalation point for advanced bare metal and provisioning incidents. Perform root cause analysis and implement long-term fixes to improve platform reliability and repeatability. Participate in on-call rotations and incident response activities for critical infrastructure services. Cross-Functional Collaboration & Community Engagement Collaborate with network, compute, data centre, and support teams to deliver reliable physical infrastructure services. Contribute specialist input to infrastructure roadmap planning, capacity expansion, standard builds, and hardware platform qualification. Support pre-sales and solution design efforts with expert guidance on bare metal capabilities, operational models, and deployment constraints. Contribute to upstream OpenStack bare metal communities through bug reports, testing, reviews, design discussions, and code contributions where appropriate. Track upstream roadmaps and release changes to help shape Nscale's bare metal strategy, upgrade planning, and platform standards. KPIs Automated provisioning and hardware onboarding reliability Bare metal incident resolution and root cause closure Platform upgrade and lifecycle delivery across Ironic dependencies Upstream OpenStack Ironic community contribution and adoption alignment About You Strong experience operating Linux systems and troubleshooting production infrastructure Strong specialist knowledge of OpenStack Ironic and the surrounding provisioning ecosystem Strong understanding of bare metal provisioning concepts including PXE/iPXE, DHCP, TFTP/HTTP boot, BMC technologies, RAID configuration, firmware management, disk imaging, and node lifecycle states Strong experience with out-of-band management technologies such as Redfish, IPMI, or vendor management interfaces Strong experience designing and building automation for physical and virtual infrastructure using tools such as Ansible Strong scripting skills in Python and Bash Experience troubleshooting complex provisioning and hardware integration issues across server, network, and management layers Experience operating infrastructure at scale with a focus on reliability, repeatability, and operational safety Ability to collaborate across infrastructure, support, and architecture teams to solve complex technical problems Experience contributing to or working closely with upstream open-source communities, particularly OpenStack, Ironic, Metal3, or related infrastructure projects , is highly desirable What we can offer you At Nscale, you'll find a collaborative, supportive, and innovative environment where your contributions spark real impact. We're building something extraordinary, and we want you at the core. Highly competitive US compensation package (base + bonus + equity), with performance reviews every 12 months. 🚀 Join one of the fastest-growing AI infrastructure companies — your chance to directly shape how global AI capacity is planned and deployed. ✨ Expect a dynamic progression plan tailored to your ambitions. Grow by leading critical cross-functional initiatives and shaping capital strategy — always with our full support. Human-First Flexibility: We treat you as humans first. 🫶🏽 Our flexible workplace trusts Nscalers to deliver, giving you the autonomy to shape your day around life's moments. Equal Opportunities Statement We strongly encourage applications from people of colour, the LGBTQ+ community, people with disabilities, neurodivergent people, parents, carers, and people from lower socio-economic backgrounds. If there's anything we can do to accommodate your specific situation, please let us know. The responsibilities outlined in this job description are not exhaustive and are intended to provide a general overview of the position. The employee may be required to perform additional duties, tasks, and responsibilities as assigned by management, consistent with the skills and qualifications required for the role. For information on how Nscale handles candidate personal data, please see our Employee & Candidate Privacy Notice: Here. For information on how Nscale handles candidate personal data, please see our Employee & Candidate Privacy Notice: Here. Salary Range The range below reflects the base salary for the position. Actual compensation may vary based on job-related factors such as skill set, experience, education, and location. In addition to base salary, this role may be eligible for bonus, equity, and/or commission programs. Nscale may offer a competitive benefits package including medical, dental, vision, flexible paid time off, parental leave, and retirement plan participation. For information on how Nscale handles candidate personal data, please see our Employee & Candidate Privacy Notice: Here. Nscale does not accept unsolicited candidate submissions from recruitment agencies. Find Jobs in Germany on Arbeitnow