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SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today SpaceX is actively developing the technologies to make this possible, with the ultimate goal of enabling human life on Mars. SR. DATA CENTER SAFETY ENGINEER (AI SUPERCOMPUTER) The Environmental Health and Safety team is seeking highly driven engineers to establish both human and system safety controls throughout the expansion of SpaceX's large-scale AI infrastructure and supercomputing facilities in the Memphis area. This role is critical in ensuring high-density critical infrastructure meets rigorous control reliability requirements enabling the safe rapid scaling of compute capacity to meet aggressive deployment timelines. The ideal candidate will have a comprehensive understanding of electrical system architecture, thermodynamics, heat transfer, and energy storage system architecture. RESPONSIBILITIES: Oversee electrical safety programs including arc-flash analysis, lockout/tagout (LOTO), and safe work practices on UPS, PDUs, switchgear, and generators Conduct regular risk assessments of power systems, cooling infrastructure, fire/smoke, energy storage, and human factors Perform Failure Mode and Effects Analysis (FMEA), HAZOP studies, and other structured risk assessments for critical systems Ensure proper grounding, bonding, and power quality monitoring/telemetry to prevent equipment damage and personnel injury Validate automatic transfer switch (ATS) and generator failover procedures from a safety perspective Monitor and mitigate risks related to cooling failures, hot spots, thermal runaway, and extreme temperature/humidity conditions Establish safe operating limits and emergency response procedures for CRAC/CRAH, chillers, energy storage systems, and liquid cooling systems Develop, maintain, and regularly drill emergency response plans for power loss, cooling failure, fire, water events, and other critical incidents Ensure compliance with applicable codes and standards (NFPA, OSHA, IEC, local building/fire codes, Uptime Institute guidelines, ISO 45001, etc.) Oversee electrical safety programs including arc-flash analysis, lockout/tagout (LOTO), and safe work practices on UPS, PDUs, switchgear, and generators Conduct regular risk assessments of power systems, cooling infrastructure, fire/smoke, and human factors Ensure proper grounding, bonding, and power quality monitoring/telemetry to prevent equipment damage and personnel injury Validate automatic transfer switch (ATS) and generator failover procedures from a safety perspective Monitor and mitigate risks related to cooling failures, hot spots, thermal runaway and extreme temperature/humidity conditions Establish safe operating limits and emergency response procedures for CRAC/CRAH, chillers, energy storage and liquid cooling systems Develop, maintain, and regularly drill emergency response plans for power loss, cooling failure, fire, water events, and other critical incidents BASIC QUALIFICATIONS: Bachelor's degree in electrical engineering, mechanical engineering, industrial/systems engineering, chemical engineering, fire protection engineering, or related field 5+ years of professional experience in electrical power systems, critical-facility operations, manufacturing, quality and/or design engineering role PREFERRED SKILLS AND EXPERIENCE: Experience with programming PLCs, IoT device administration, and scripting/coding for automation or data analysis Proficiency with PFMEA, root cause analysis, statistical process control, and structured problem-solving methodologies Experience with CAE / CFD tools (Ansys) CSP (Certified Safety Professional) PE (Professional Engineer) license CEM (Certified Energy Manager) or data-center-specific credentials NFPA-related certifications Hands-on experience in data centers, critical facilities, or mission-critical environments Strong interpersonal and collaborative skills, enthusiasm for the mission of enabling multi-planetary life ADDITIONAL REQUIREMENTS: This is not a remote or hybrid position and will require relocation if not already local to the Memphis, TN area Position occasionally requires the ability to travel and support other critical computing infrastructure ITAR REQUIREMENTS: To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C. § 1157, or (iv) Asylee under 8 U.S.C. § 1158, or be eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here . SpaceX is an Equal Opportunity Employer; employment with SpaceX is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status. Applicants wishing to view a copy of SpaceX's Affirmative Action Plan for veterans and individuals with disabilities, or applicants requiring reasonable accommodation to the application/interview process should reach out to EEOCompliance@spacex.com .

Data Ingenieur Du bist technisch versiert, probierst gerne neue Ansätze aus und möchtest nicht bei jeder Entscheidung durch bestehende Strukturen ausgebremst werden? Als Data Ingenieur erwartet dich eine Umgebung, in der vieles neu aufgebaut wird und du deine technischen Vorstellungen aktiv einbringen kannst. Von der Architektur über Datenpipelines bis hin zu Data Quality und AI Schnittstellen kannst du moderne Lösungen entwickeln und dabei Verantwortung für deren Umsetzung übernehmen. Bewirb dich jetzt und nutze den technischen Spielraum, den diese Position bietet. Deine Benefits als Data Ingenieur Vergütung: Freue dich auf ein attraktives Gehalt mit zusätzlichem variablem Anteil, das deiner Erfahrung und technischen Expertise entspricht. Gestaltungsspielraum: Baue eine zentrale Datenplattform von Grund auf mit auf und bringe deine eigenen technischen Ideen ein. Hier gibt es viel Raum, moderne Lösungen auszuprobieren und die technische Architektur aktiv mitzugestalten. Flexibilität: Gestalte deinen Arbeitsalltag weitgehend selbst und arbeite flexibel aus dem Homeoffice oder von deinem Wohnort in Deutschland. Für wichtige Meetings, Workshops und den persönlichen Austausch wird gleichzeitig deine Bereitschaft zur Teilnahme vor Ort erwartet. Workation: Nutze bis zu vier Wochen Workation innerhalb der EU und nach Absprache gegebenenfalls darüber hinaus. Altersvorsorge: Profitiere von einer betrieblichen Altersversorgung mit 50 % Arbeitgeberbeteiligung. Entwicklung: Nutze individuelle Weiterbildungen, Sprachkurse und persönliche Lernangebote. Internationalität: Arbeite in einem internationalen Umfeld mit Deutsch und Englisch als Geschäftssprachen. Deine Aufgaben als Data Ingenieur Data Layer: Übernimm Betrieb und Weiterentwicklung der Databricks basierten Datenplattform inklusive Workspaces, Jobs und Berechtigungen. Datenpipelines: Entwickle robuste ETL und ELT Pipelines für Banking, Treasury, Payments, Exportfinanzierung und weitere Datenquellen. Architektur: Gestalte Data Lake und Lakehouse Strukturen sowie skalierbare und performante Datenmodelle. Data Quality: Implementiere automatisierte Qualitätsprüfungen und stelle Vollständigkeit, Aktualität und Konsistenz der Daten sicher. Monitoring: Baue Monitoring und Alerting für Pipelines, Jobs, Latenzen und Fehler auf. Governance: Dokumentiere Datenflüsse und Lineage und unterstütze bei Datenklassifizierung, Zugriffskontrollen und regulatorischen Anforderungen. AI Enablement: Stelle geeignete Daten und Schnittstellen für AI Use Cases und MLOps bereit. Zusammenarbeit: Unterstütze Fachbereiche bei Datenanalysen und arbeite eng mit Architecture, Platform, Risk und Compliance zusammen. Dein Profil als Data Ingenieur Ausbildung: Ein Studium der Informatik, Data Engineering, Wirtschaftsinformatik oder eine vergleichbare Qualifikation bildet die Grundlage. Erfahrung: Mehrjährige Erfahrung im Data Engineering und im Aufbau produktiver Datenplattforment. Technologie: Sehr gute Kenntnisse in Databricks, SQL und modernen ETL und ELT Patterns. Architektur: Erfahrung mit Data Lake oder Lakehouse Architekturen, Datenmodellierung und Data Quality. Cloud: Erfahrung mit Infrastructure as Code in Cloud Umgebungen ist wichtig, idealerweise ergänzt durch Azure- oder AWS-Kenntnisse. Betrieb: Erfahrung mit Monitoring, Fehlerbehandlung und der Operationalisierung produktiver Datenpipelines. Kommunikation: Gute Kommunikationsfähigkeit und sehr gute Englischkenntnisse auf C1 Niveau. Pluspunkte: Erfahrungen mit Banking, Finance, Power BI, DORA, SFTP oder AI und ML Datenpipelines. Du hast eigene Vorstellungen davon, wie eine moderne Datenplattform aufgebaut sein sollte und möchtest diese auch umsetzen können? Dann wartet hier der technische Gestaltungsspielraum auf dich, den du bei vielen etablierten Strukturen vergeblich suchst. Find Jobs in Germany on Arbeitnow

Data Engineer Are you technically skilled, enjoy exploring new approaches, and want to avoid being held back by existing structures and processes? As a Data Engineer , you will join an environment where many things are being built from the ground up and where you can actively contribute your own technical ideas. From architecture and data pipelines to data quality and AI interfaces, you will have the opportunity to develop modern solutions while taking ownership of their implementation. Apply now and take advantage of the technical freedom this position offers. Your benefits as Data Engineer Compensation: Enjoy an attractive salary with an additional variable component that reflects your experience and technical expertise. Creative Freedom: Help build a central data platform from the ground up and bring your own technical ideas to the table. You will have plenty of room to explore modern solutions and actively shape the technical architecture. Flexibility: Organize your working day largely on your own and work flexibly from home or anywhere in Germany. At the same time, you should be willing to attend important meetings, workshops, and in person collaboration when required. Workation: Take up to four weeks of workation within the EU and, subject to agreement, potentially beyond the EU. Pension: Benefit from an occupational pension scheme with a 50% employer contribution. Development: Take advantage of individual training opportunities, language courses, and personal learning programs. International Environment: Work in an international environment where both German and English are used as business languages. Your tasks as Data Engineer Data Layer: Take ownership of operating and further developing the Databricks based data platform, including workspaces, jobs, and permissions. Data Pipelines: Develop robust ETL and ELT pipelines for banking, treasury, payments, export finance, and other data sources. Architecture: Design Data Lake and Lakehouse structures as well as scalable and high performance data models. Data Quality: Implement automated quality checks and ensure data completeness, timeliness, and consistency. Monitoring: Build monitoring and alerting for pipelines, jobs, latency, and errors. Governance: Document data flows and lineage and support data classification, access controls, and regulatory requirements. AI Enablement: Provide suitable data and interfaces for AI use cases and MLOps. Collaboration: Support business teams with data analysis and work closely with Architecture, Platform, Risk, and Compliance. Your profile Education: A degree in Computer Science, Data Engineering, Business Informatics, or a comparable qualification provides the foundation for this role. Experience: Several years of experience in Data Engineering and building productive data platforms. Technology: Very good knowledge of Databricks, SQL, and modern ETL and ELT patterns. Architecture: Experience with Data Lake or Lakehouse architectures, data modelling, and data quality. Cloud: Experience with Infrastructure as Code in cloud environments is important, ideally complemented by Azure or AWS knowledge. Operations: Experience with monitoring, error handling, and operationalizing productive data pipelines. Communication: Strong communication skills and very good English at C1 level. Additional Skills: Experience with banking, finance, Power BI, DORA, SFTP, or AI and ML data pipelines is an advantage. Do you have your own ideas about how a modern data platform should be built and want the freedom to put them into practice? Then this role offers the technical freedom you rarely find within established structures. Find more English Speaking Jobs in Germany on Arbeitnow

Frankfurt am Main | Hybrid: 2–3 Tage Büro/Woche | Vollzeit | Deutsch C1/C2 erforderlich Du hast erste praktische Erfahrung mit React, TypeScript und modernen Frontends und möchtest E-Commerce-Lösungen für D2C-, B2C- und B2B-Marken bauen? Bei ABRIO entwickelst du performante Shopify-Frontends, setzt Features um und wächst mit Mentoring in Kundenprojekten. Shopify-Erfahrung ist ein Plus, kein Muss. ABRIO ist eine der führenden Digital Commerce Beratungen mit Sitz in Frankfurt am Main. Unser Ziel: Die E-Commerce-Welt unserer Kunden nachhaltig zu verbessern und skalierbare Erfolge zu schaffen. Dabei kombinieren wir modernste Technologien mit innovativen Ansätzen und maßgeschneiderten Lösungen. Klingt spannend? Dann lies weiter – wir suchen genau dich für unser Team! DAS ERWARTET DICH Projektarbeit im Commerce-Umfeld: Du arbeitest in einem interdisziplinären Team mit Developern, Designern und Marketing-Experten an anspruchsvollen Shopify-Migrations- und Plattformprojekten sowie modernen Onlineshops für namhafte Kunden aus dem D2C-, B2C- und B2B-Umfeld. Frontend Development: Du entwickelst moderne, performante und responsive Frontends für E-Commerce-Plattformen und setzt Anforderungen sauber in skalierbare Lösungen um. Shopify-Weiterentwicklung & Features: Du erweiterst Shopify-Funktionen mit passenden Apps und verbesserst so gezielt die User Experience. Technische Umsetzung: Du nutzt moderne Technologien wie TypeScript und gängige Frontend-Frameworks, um hochwertige digitale Erlebnisse zu schaffen. Backend-Unterstützung : Du unterstützt bei Datenbankstrukturen, Datenmigrationen und Middleware-Anbindungen. IT'S A MATCH, SOFERN DU... ein Hochschulstudium in (Wirtschafts-)Informatik, Data Engineering, Wirtschaftsingenieurwesen, User Experience Design oder einer vergleichbaren Fachrichtung abgeschlossen hast. erste praktische Erfahrung in der Softwareentwicklung gesammelt hast, z. B. durch erste Berufserfahrung, Praktika, Werkstudierendentätigkeiten oder eigene Projekte. einen klaren Schwerpunkt im Frontend hast und sicher mit TypeScript, JavaScript sowie modernen Frameworks (React based) arbeitest; Kenntnisse in CI/CD, Unit Testing und Responsive Design bzw. Performance-Optimierung sind ein Plus. strukturiert, eigenverantwortlich und mit hohem Qualitätsanspruch arbeitest sowie Lust hast, dich in neue Themen einzuarbeiten. kommunikativ bist, gerne im Team arbeitest und dich auch im direkten Austausch mit Kunden sicher bewegst. sehr gute Deutsch- und gute Englischkenntnisse mitbringst. WAS WIR DIR BIETEN Urlaub & Balance : 30 Tage Urlaub und ein kleines Extra für deine Auszeit: Ein zusätzlicher Urlaubstag, wenn Heiligabend & Silvester auf Werktage fallen. Arbeitszeiten, die zu dir passen: Durch flexible Arbeitszeiten und 2 - 3 Tage Präsenz im Büro pro Woche helfen wir dir, Arbeit und Privatleben in Balance zu halten. Weiterbildung, die deine Karriere stärkt: Mit einem persönlichen Weiterbildungsbudget kannst du dein Wachstum individuell voranbringen. Ob Zertifizierungen, Schulungen oder persönliches Mentoring – Wachstum ist für uns von großer Bedeutung. Spannende Projekte mit echtem Impact: Du arbeitest an innovativen E-Commerce-Projekten mit führenden Marken, setzt aktuelle Technologien ein und übernimmst schrittweise mehr Verantwortung in Projekten. Modernes Büro im Herzen Frankfurts : Unser zentral gelegenes Büro mit moderner Ausstattung bietet dir Raum für kreative Ideen, konzentriertes Arbeiten und entspanntes Abschalten. Teamspirit, den man erlebt : Offene Zusammenarbeit, gegenseitige Unterstützung und regelmäßige Teamevents sind bei uns fest verankert. Ob Team-Lunch, Afterwork-Drinks oder gemeinsame Aktivitäten – wir nehmen uns bewusst Zeit füreinander. Unsere Werte – gelebter Alltag : Teamgeist, Professionalität und Leidenschaft prägen unsere Zusammenarbeit. Wir unterstützen uns gegenseitig, übernehmen Verantwortung und wachsen gemeinsam. Faire Vergütung & attraktive Benefits: Attraktive Bonuszahlungen und eine Benefitcard mit monatlich 50,00€ netto steuerfreiem Sachbezug ergänzen eine faire Vergütung. Gestalte mit und wachse in Verantwortung hinein: Mit Unterstützung übernimmst du Verantwortung, entwickelst dich weiter und gehst den nächsten Schritt in deiner Karriere. Mit uns erhältst du nicht nur einen Job, sondern eine Erfahrung, die dich weiterbringt – beruflich und persönlich! 🚀 Unser Team steht für flache Hierarchien und Eigeninitiative. Wenn du motiviert bist, Verantwortung übernehmen möchtest und Lust hast, gemeinsam mit uns die Zukunft des E-Commerce zu gestalten, dann bist du bei uns genau richtig! Unser Bewerbungsprozess ist schnell und zuverlässig – wir melden uns innerhalb kürzester Zeit bei dir zurück. Also, bewirb dich noch heute und werde Teil unseres dynamischen Teams. Wir freuen uns auf deine Bewerbung und darauf, dich kennenzulernen. Find Jobs in Germany on Arbeitnow

About Lendable Lendable is on a mission to build the world's best technology to help people get credit and save money. We're building one of the world's leading fintech companies and are off to a strong start: One of the UK's most exciting unicorns with a team of over 800 people Among the fastest-growing tech companies in the UK Profitable since 2017 Backed by top investors including Balderton Capital and Goldman Sachs Loved by customers with the best reviews in the market (4.9 across 10,000s of reviews on Trustpilot ) So far, we've rebuilt the Big Three consumer finance products from scratch: loans, credit cards and car finance . We get money into our customers' hands in minutes instead of days. We're growing fast, and there's a lot more to do: we're going after the two biggest Western markets (UK and US) where trillions worth of financial products are held by big banks with dated systems and painful processes. Join us if you want to Take ownership: you are trusted to make decisions that drive a material impact on the direction and success of Lendable from day 1 Work in small teams of exceptional people: Lendies are relentlessly resourceful. We challenge the status quo to solve problems and find smarter solutions Build the best technology in-house : we use new data sources, machine learning and AI to make machines do the heavy lifting About the team Lendable is the UK market leader in real rate risk-based pricing, offering consumers transparency and product assurance at the point of application. Data Science and Analytics sits at the heart of this, developing the credit risk models and strategies to underwrite loan and credit card products. Our team is primarily focused on the pricing domain but we also work on other areas including product and credit. We implement a range of machine learning techniques and analytical tools to continually improve our product offering. About the role You will be working in the UK Loans team at Lendable and will work on projects related to pricing, funnel and credit optimisation in collaboration with the credit and product teams. Join us if you want to Work in a small, high-impact team where you will be mentored to solve complex analytical problems, eventually taking ownership of your own models Be resourceful to solve problems and find smarter solutions than the status quo Work closely with other members of the team that will support developing your technical expertise and domain knowledge Our team's objectives The pricing team owns the loans funnel analytics and pricing strategy We work across the business in a multidisciplinary capacity to identify issues, translate business problems into data questions, analyse and propose solutions How you'll impact those objectives Learn the domain of products that Lendable serves, understanding the data that informs strategy and modelling is essential to being able to successfully contribute value Research and propose improvements to our existing pricing strategies and modelling methodology Work closely with the credit team to align pricing decisions with credit risk and underwriting strategy Clearly communicate results to stakeholders through verbal and written communication Share ideas with the wider team, learn from and contribute to the body of knowledge Key Skills Experience using Python (pandas, numpy, scikit-learn) and SQL Theoretical understanding of core ML techniques and statistical principles Strong numerical and analytical skills, comfortable working with large datasets Confident communicator and contributes effectively within a team environment Self-driven and willing to take ownership of specific tasks and analyses 1-2 years' experience in a technical, analytical or data-focused role Nice to Have Exposure to credit risk or financial datasets Interest in Data Engineering Prior experience with financial or pricing modelling The interview process A phone call with one of the team Video Call case study (Remote) Onsite Interview Culture Interview Meet the team you'll work with daily Life at Lendable Winning team: the opportunity to scale up one of the world's most successful fintech companies Flexible working: flexible approach tailored to each role. Hybrid roles require three days in-office weekly; fully remote roles include regular opportunities for in-person connection through socials and off-sites Socials & connection: opportunities and events to come together, socialise, and get to know each other beyond the office walls Health coverage: support for your physical and mental wellbeing, including private health cover Retirement & savings: long-term financial wellbeing through retirement savings plans Employee referral programme: earn a competitive bonus when you refer successful new team members Office meals & snacks: enjoy a fully stocked kitchen, plus complimentary lunches prepared by in-house chefs on in-office days at select locations Sustainable commuting: cycle-to-work and electric vehicle salary sacrifice schemes available in select locations Please note: The availability and details of specific benefits vary by location and role. For more information, please speak to your Talent Partner. Check out our blog ! Find more English Speaking Jobs in United Kingdom on Arbeitnow

Microsoft Copilot | GitHub Copilot | Data Engineering | ETL | Data Warehouse Arbeitgeber: WAITS Software- und Prozessberatungsgesellschaft mbH Standort: Köln / Remote innerhalb Deutschlands nach Absprache Tätigkeitsbereich: Softwareentwicklung, Künstliche Intelligenz, Data Engineering Über uns Die WAITS Software- und Prozessberatungsgesellschaft mbH ist ein IT-Beratungs- und Softwareentwicklungsunternehmen mit Sitz in Köln. Wir verbinden Softwareentwicklung, Geschäftsprozessmanagement und digitale Transformation mit dem praktischen Einsatz moderner KI-Technologien. In unserem DevChapter entwickeln wir individuelle Softwarelösungen, integrieren KI in bestehende Systemlandschaften und setzen intelligente Automatisierungslösungen für unsere Kunden um. Für anspruchsvolle Projekte an der Schnittstelle zwischen Agentic AI und Data Engineering suchen wir Verstärkung. Ihre Aufgaben Ihr Schwerpunkt liegt auf der Konzeption, Entwicklung und Implementierung von AI-Agenten, die Datenverarbeitungs- und Transformationsprozesse intelligent unterstützen und automatisieren. Entwicklung, Integration und kontinuierliche Optimierung von AI-Agenten auf Basis von Microsoft Copilot und GitHub Copilot Konzeption und Implementierung agentenbasierter Automatisierungslösungen für Datenpipelines Integration von Datenquellen, Datenbanken und Data-Warehouse-Plattformen Entwicklung KI-gestützter Lösungen zur Unterstützung von ETL-, Datenintegrations- und Datentransformationsprozessen Anbindung von AI-Agenten an bestehende Anwendungen, APIs und Datenplattformen Analyse fachlicher Anforderungen und Umsetzung in produktiv nutzbare KI-Lösungen Sicherstellung von Qualität, Performance und Wartbarkeit der entwickelten Lösungen Zusammenarbeit mit Data Engineers, Softwareentwicklern, Product Ownern und Fachbereichen Einsatz moderner Entwicklungs-, Test- und Deployment-Verfahren Das bringen Sie mit Fachliche Anforderungen Abgeschlossenes Studium der Informatik, Wirtschaftsinformatik oder eine vergleichbare IT-Qualifikation Mindestens zwei bis drei Jahre praktische Erfahrung in der Entwicklung von AI-Agenten oder KI-gestützten Lösungen mit Microsoft Copilot und/oder GitHub Copilot Nachweisbare Erfahrung mit der Konzeption und Implementierung von Copilot-basierten Agentensystemen Praktische Kenntnisse im Data Engineering und in der Entwicklung von Datenpipelines Erfahrung mit ETL-/ELT-Prozessen und Datentransformationen Kenntnisse relationaler Datenbanken, SQL und moderner Data-Warehouse-Lösungen, vorzugsweise Microsoft SQL Server Verständnis von Datenmodellierung, Datenintegration und Datenqualität Erfahrung mit modernen Entwicklungswerkzeugen, Versionsverwaltung und CI/CD Gute Deutschkenntnisse und fließende Englischkenntnisse Wünschenswerte Zusatzkenntnisse Microsoft Copilot Studio und Microsoft 365 Copilot Snowflake als Cloud-Datenplattform dbt Cloud für Datenmodellierung und Datentransformation Data-Vault-Architekturen Microsoft Azure und Azure DevOps Integration von Large Language Models (LLMs), Tool Calling und API-basierten Agentenlösungen Ihre persönlichen Stärken Sie arbeiten analytisch, strukturiert und lösungsorientiert. Komplexe technische Herausforderungen gehen Sie eigenständig an und stimmen sich dabei eng mit anderen Entwicklern und Fachbereichen ab. Sie legen Wert auf wartbare, qualitativ hochwertige Software, kommunizieren verständlich und übernehmen Verantwortung für Ihre Lösungen. Was Sie bei WAITS erwartet Technisch anspruchsvolle Projekte an der Schnittstelle von KI und datengetriebener Softwareentwicklung Arbeit mit modernen KI-Technologien und Agentenarchitekturen Ein erfahrenes, interdisziplinäres Team aus Softwareentwicklern und Beratern Kurze Entscheidungswege und direkte fachliche Zusammenarbeit Remote-Zusammenarbeit innerhalb eines deutschlandweit verteilten Teams Möglichkeiten, eigene technische Ideen und Lösungsansätze einzubringen Ihre Bewerbung Sie möchten AI-Agenten nicht nur einsetzen, sondern selbst entwickeln und produktiv in Unternehmensprozesse integrieren? Dann freuen wir uns auf Ihre Bewerbung. Bitte senden Sie uns Ihren Lebenslauf mit einer Übersicht Ihrer relevanten Projekterfahrungen ----- interessieren uns konkrete Beispiele für selbst entwickelte AI-Agenten, die verwendeten Copilot-Technologien sowie Ihre Erfahrung mit Datenpipelines und Data-Warehouse-Lösungen. WAITS Software- und Prozessberatungsgesellschaft mbH Am Kabellager 11 51063 Köln www.waits-gmbh.de Find more English Speaking Jobs in Germany on Arbeitnow

Data Engineer Are you technically skilled, enjoy exploring new approaches, and want to avoid being held back by existing structures and processes? As a Data Engineer , you will join an environment where many things are being built from the ground up and where you can actively contribute your own technical ideas. From architecture and data pipelines to data quality and AI interfaces, you will have the opportunity to develop modern solutions while taking ownership of their implementation. Apply now and take advantage of the technical freedom this position offers. Your benefits as Data Engineer Compensation: Enjoy an attractive salary with an additional variable component that reflects your experience and technical expertise. Creative Freedom: Help build a central data platform from the ground up and bring your own technical ideas to the table. You will have plenty of room to explore modern solutions and actively shape the technical architecture. Flexibility: Organize your working day largely on your own and work flexibly from home or anywhere in Germany. At the same time, you should be willing to attend important meetings, workshops, and in person collaboration when required. Workation: Take up to four weeks of workation within the EU and, subject to agreement, potentially beyond the EU. Pension: Benefit from an occupational pension scheme with a 50% employer contribution. Development: Take advantage of individual training opportunities, language courses, and personal learning programs. International Environment: Work in an international environment where both German and English are used as business languages. Your tasks as Data Engineer Data Layer: Take ownership of operating and further developing the Databricks based data platform, including workspaces, jobs, and permissions. Data Pipelines: Develop robust ETL and ELT pipelines for banking, treasury, payments, export finance, and other data sources. Architecture: Design Data Lake and Lakehouse structures as well as scalable and high performance data models. Data Quality: Implement automated quality checks and ensure data completeness, timeliness, and consistency. Monitoring: Build monitoring and alerting for pipelines, jobs, latency, and errors. Governance: Document data flows and lineage and support data classification, access controls, and regulatory requirements. AI Enablement: Provide suitable data and interfaces for AI use cases and MLOps. Collaboration: Support business teams with data analysis and work closely with Architecture, Platform, Risk, and Compliance. Your profile Education: A degree in Computer Science, Data Engineering, Business Informatics, or a comparable qualification provides the foundation for this role. Experience: Several years of experience in Data Engineering and building productive data platforms. Technology: Very good knowledge of Databricks, SQL, and modern ETL and ELT patterns. Architecture: Experience with Data Lake or Lakehouse architectures, data modelling, and data quality. Cloud: Experience with Infrastructure as Code in cloud environments is important, ideally complemented by Azure or AWS knowledge. Operations: Experience with monitoring, error handling, and operationalizing productive data pipelines. Communication: Strong communication skills and very good English at C1 level. Additional Skills: Experience with banking, finance, Power BI, DORA, SFTP, or AI and ML data pipelines is an advantage. Do you have your own ideas about how a modern data platform should be built and want the freedom to put them into practice? Then this role offers the technical freedom you rarely find within established structures. Find more English Speaking Jobs in Germany on Arbeitnow

Data Ingenieur Du bist technisch versiert, probierst gerne neue Ansätze aus und möchtest nicht bei jeder Entscheidung durch bestehende Strukturen ausgebremst werden? Als Data Ingenieur erwartet dich eine Umgebung, in der vieles neu aufgebaut wird und du deine technischen Vorstellungen aktiv einbringen kannst. Von der Architektur über Datenpipelines bis hin zu Data Quality und AI Schnittstellen kannst du moderne Lösungen entwickeln und dabei Verantwortung für deren Umsetzung übernehmen. Bewirb dich jetzt und nutze den technischen Spielraum, den diese Position bietet. Deine Benefits als Data Ingenieur Vergütung: Freue dich auf ein attraktives Gehalt mit zusätzlichem variablem Anteil, das deiner Erfahrung und technischen Expertise entspricht. Gestaltungsspielraum: Baue eine zentrale Datenplattform von Grund auf mit auf und bringe deine eigenen technischen Ideen ein. Hier gibt es viel Raum, moderne Lösungen auszuprobieren und die technische Architektur aktiv mitzugestalten. Flexibilität: Gestalte deinen Arbeitsalltag weitgehend selbst und arbeite flexibel aus dem Homeoffice oder von deinem Wohnort in Deutschland. Für wichtige Meetings, Workshops und den persönlichen Austausch wird gleichzeitig deine Bereitschaft zur Teilnahme vor Ort erwartet. Workation: Nutze bis zu vier Wochen Workation innerhalb der EU und nach Absprache gegebenenfalls darüber hinaus. Altersvorsorge: Profitiere von einer betrieblichen Altersversorgung mit 50 % Arbeitgeberbeteiligung. Entwicklung: Nutze individuelle Weiterbildungen, Sprachkurse und persönliche Lernangebote. Internationalität: Arbeite in einem internationalen Umfeld mit Deutsch und Englisch als Geschäftssprachen. Deine Aufgaben als Data Ingenieur Data Layer: Übernimm Betrieb und Weiterentwicklung der Databricks basierten Datenplattform inklusive Workspaces, Jobs und Berechtigungen. Datenpipelines: Entwickle robuste ETL und ELT Pipelines für Banking, Treasury, Payments, Exportfinanzierung und weitere Datenquellen. Architektur: Gestalte Data Lake und Lakehouse Strukturen sowie skalierbare und performante Datenmodelle. Data Quality: Implementiere automatisierte Qualitätsprüfungen und stelle Vollständigkeit, Aktualität und Konsistenz der Daten sicher. Monitoring: Baue Monitoring und Alerting für Pipelines, Jobs, Latenzen und Fehler auf. Governance: Dokumentiere Datenflüsse und Lineage und unterstütze bei Datenklassifizierung, Zugriffskontrollen und regulatorischen Anforderungen. AI Enablement: Stelle geeignete Daten und Schnittstellen für AI Use Cases und MLOps bereit. Zusammenarbeit: Unterstütze Fachbereiche bei Datenanalysen und arbeite eng mit Architecture, Platform, Risk und Compliance zusammen. Dein Profil als Data Ingenieur Ausbildung: Ein Studium der Informatik, Data Engineering, Wirtschaftsinformatik oder eine vergleichbare Qualifikation bildet die Grundlage. Erfahrung: Mehrjährige Erfahrung im Data Engineering und im Aufbau produktiver Datenplattforment. Technologie: Sehr gute Kenntnisse in Databricks, SQL und modernen ETL und ELT Patterns. Architektur: Erfahrung mit Data Lake oder Lakehouse Architekturen, Datenmodellierung und Data Quality. Cloud: Erfahrung mit Infrastructure as Code in Cloud Umgebungen ist wichtig, idealerweise ergänzt durch Azure- oder AWS-Kenntnisse. Betrieb: Erfahrung mit Monitoring, Fehlerbehandlung und der Operationalisierung produktiver Datenpipelines. Kommunikation: Gute Kommunikationsfähigkeit und sehr gute Englischkenntnisse auf C1 Niveau. Pluspunkte: Erfahrungen mit Banking, Finance, Power BI, DORA, SFTP oder AI und ML Datenpipelines. Du hast eigene Vorstellungen davon, wie eine moderne Datenplattform aufgebaut sein sollte und möchtest diese auch umsetzen können? Dann wartet hier der technische Gestaltungsspielraum auf dich, den du bei vielen etablierten Strukturen vergeblich suchst. Find Jobs in Germany on Arbeitnow

Founding Engineer Role can be based remotely in the EEA or hybrid in our London or Munich offices. Fixed software is the wrong shape for logistics, because every team runs its processes differently. Tare is our solution. Combining agentic AI with deterministic logic means Tare fits to any customer but runs the same way every single time. We have just closed our pre-seed funding round with a top European VC and we are now looking for a founding engineer to build Tare with us. About Tarebase We're Dom and Felix, the two co-founders of Tarebase. Dom is a former SVP at a global unicorn, overseeing tens of millions in global carrier spend, with deep logistics domain experience from Amazon, Nestle and EY. Felix was a founding engineer at Raycast and has spent more than two decades building software systems. We've raised pre-seed funding from a top-tier European VC and are building our MVP together with early design partners, who will become our first customers. As our first employee, you'd have a real say in both the product and the engineering decisions behind it. Logistics is difficult to run well, and experienced people are hard to hire. Smaller businesses often pay too much for shipping, struggle to give customers a good delivery experience, and can't match larger competitors' technology or hiring budgets. The software available to them is often expensive, dated or too cumbersome. We want to make logistics less of a burden so these businesses can spend more time selling their products.They're the customers we want to build for: Europe alone has around 26 million SMEs, employing more than 100 million people. Just putting a chat interface and GPT-wrapper on top of the problem is not what we're building. We're combining extraction and analysis, workflow automation, agentic and compiled AI with deterministic, verifiable logic. Recent advances in AI make more of this possible, but building a system that does it reliably is still hard. We're looking for someone who wants to advance the state of the art in this area with us. About you The description below is an ideal, not a checklist. If you don't tick every box but feel ready for the challenges of being the first engineer at an early-stage startup, we'd still like to hear from you. What matters most to us is that you're motivated, committed, willing to stick with hard problems, and someone we can count on. You have a strong technical background and a track record of building and shipping software systems, whether that's cloud backends, web applications, AI-supported systems or a mix of these. You enjoy working across engineering and product. You think like a product engineer: you care about UX/UI, and you want direct contact with customers and the people who use what you build. You'll work mostly in Rust and TypeScript, across the full stack: data engineering, AI, backend, frontend, infrastructure and deployment. We especially value experience with either language from before AI coding tools and a solid understanding of its ecosystem so you can make considered choices. We also value experience operating distributed systems and data-intensive systems in the cloud, including multi-tenant environments and the scaling and security challenges they bring, databases, and durable execution runtimes. You use coding agents effectively, but stay close to the code. You know their limitations in a large codebase, review and challenge their work, and take testing, debugging, refactoring and documentation seriously. You can design useful tests and evaluations, manage complexity, and tell when something is genuinely ready to ship. You also enjoy digging into challenging problems. You keep up with what current models, agent harnesses and research make possible, and you can judge what actually works for a given use case. You know how to build agents and AI workflows into a product and use evaluations, validation and deterministic logic to make what they produce consistent and verifiable. You're comfortable extracting structure from messy documents and care a lot about data quality. You experiment, measure the results, question your assumptions, and keep going until you've found a solution that really holds up. You can turn that work into shipped software, taking a product idea or technical direction through design and implementation without waiting for someone to assign you a ticket. We work remotely, so clear communication and follow-through matter a lot to us. We value people who manage their own work, can be counted on, and raise important issues early. How to apply Apply with the button on this page. Please ensure to use a hand-written CV. We read every application ourselves. It's fine to use tools for spelling or translation, but we want to hear your voice. Our process The process should take a few weeks from start to finish depending on your availability. Application review. If we love your resume we will send over some short questions. Intro call with Dom and Felix. An informal conversation about the role, the technology and what you're looking for. Technical deep dive with Felix. We talk briefly about a system you've worked on (no need to share anything confidential), then work through a system design problem together. Half a day with us in Munich or London. We cover your travel, hotel if needed, and meals. You spend about two hours on a made-up task similar to the problems we work on, using your usual tools and coding agents. Then we have lunch, go through your work together, and talk through a customer scenario. References and offer. We speak with 1-2 people you've worked with (only with your agreement) and aim to decide within 48 hours. If we don't move forward after the technical conversation or later, we'll share some feedback with you. Compensation : €100.000–120.000 base salary plus 0.75–1% equity Setup: A MacBook Pro and whatever else you need to work well. If you'd rather not work from home, we'll pay for a coworking space near you. Location : Munich or London, or remote within Europe (GMT-1 to GMT+3) with regular meet-ups. Candidate privacy policy available here: https://tarebase.com/candidate-privacy Find Jobs in Germany on Arbeitnow

Education: Secondary (high) school graduation certificate. Work setting: Urban area. Tasks: Evaluate daily operations . Monitor staff performance . Plan and organize daily operations. Set staff work schedules. Supervise staff. Train staff. Ensure health and safety regulations are followed. Negotiate arrangements with suppliers for food and other supplies. Negotiate with clients for catering or use of facilities. Leading/instructing individuals. Address customers' complaints or concerns. Provide customer service. Manage events. Supervision: 5-10 people. Working groups. Work conditions and physical capabilities: Fast-paced environment. Work under pressure. Attention to detail. Standing for extended periods. Employment terms options: Evening. Shift. Experience: 3 years to less than 5 years. Employment terms options: Night. Day. Weekend. Overtime available. Other benefits: Other benefits.

WE COVER TRANSPORTATION (shuttle service to-and-from site, ONLY out of Saskatoon, Prince Albert or Creighton), MEALS, & ACCOMMODATION WHEN AT SITE. Job is located at the Eldorado Mine site, approximately 3.5 hours northeast of Prince Albert; 85 km west of Flin Flon, MB. **SHIFT WORK IS REQUIRED (11-hour days); WORK SCHEDULES ARE 2-WEEK IN-AND-OUT ROTATIONS. Housing Attendants (Housekeepers) are responsible for housekeeping duties at remote northern sites, such as mining facilities and exploration camps. Duties must be completed in accordance with contract standards & specifications. Duties & Responsibilities:- Sweep, mop, and wash floors.- Dust furniture, vacuum carpeting, and area rugs.- Make beds.- Clean and sanitize all areas as assigned.- Collect garbage.- Clean rooms to required specifications.- Follow company policies and procedures.- Other duties as assigned. Things to consider:- Requires compressed workweeks at a remote facility.- You must be a team player, who works well with others. Qualifications:- Ability to work in a fast, thorough, efficient manner with attention to detail.- Housekeeping experience would be a strong asset.- A valid Drivers license with a safe driving record is a strong asset.- Possession of, or ability to obtain a valid, recognized first aid certificate.- Ability to perform housekeeping duties in a safe and efficient manner.- Knowledge of safety procedures associated with working with hazardous products, including WHMIS.- Ability to work with minimal supervision, as well as part of a team.- Ability to establish and maintain effective working relationships.- Physically capable of performing the assigned duties.- Must be prepared to work at site during holidays & weekends.- Must be fit for duty & able to safely fulfill the job requirements in remote settings.

Come Play With Us! As a Housekeeping Supervisor at Crown Isle Resort, you play an important role in ensuring our guest rooms and resort spaces are clean, comfortable, and welcoming. Working closely with the Executive Housekeeper and the Accommodations team, you will help lead and support our housekeeping team, maintain high standards of cleanliness, and ensure our guests receive friendly, timely service. This is an excellent opportunity for an organized, hands-on leader who takes pride in their work, enjoys supporting a team, and understands how housekeeping contributes to an exceptional guest experience. Key Responsibilities Team Leadership & Training Support the Executive Housekeeper in overseeing daily housekeeping operations and act as the second-in-command when required Supervise, coach, and support housekeeping team members, addressing performance concerns as appropriate Assist with onboarding, orientation, and training for new employees Assist with staff scheduling and completion of daily time sheets Promote teamwork, accountability, and adherence to Crown Isle policies and procedures Cleanliness & Guest Experience Conduct daily inspections of guest rooms, storage areas, and resort clubhouse spaces to ensure cleanliness and presentation meet Crown Isle standards Ensure guest rooms and housekeeping stations are stocked with the required supplies and amenities Respond to guest housekeeping requests promptly and professionally Work closely with the Front Desk and other departments to coordinate guest requests and housekeeping services Report maintenance concerns and coordinate the replacement of furnishings and supplies as needed Inventory, Safety & Operations Assist with housekeeping inventory, supply ordering, and restocking Ensure housekeeping policies and procedures are followed, including lost and found protocols and hotel key security Support the resort?s recycling program and ensure garbage is transported to designated collection areas Maintain effective communication with the Executive Housekeeper and other departments regarding operational needs and concerns Assist with additional duties as assigned by the Executive Housekeeper Qualifications Required: Grade 12 diploma or equivalent Valid BC driver?s licence Strong organizational and communication skills Ability to work independently, prioritize tasks, and solve problems effectively Ability to lead by example and maintain high standards in a fast-paced environment Assets: Two to three years of supervisory experience in a hotel or hospitality setting Knowledge of WHMIS (Workplace Hazardous Materials Information System) Previous housekeeping experience in a hotel or resort environment Experience training and supporting team members What We Offer An opportunity to grow with an employer that offers a variety of career paths within Crown Isle Resort and our subsidiary companies Medical and dental benefits once eligibility requirements are met Discounted room rates at Crown Isle Resort, Crown Mansion Boutique Hotel, and all STASH Hotel partners Free golf privileges Discounted food and beverage Complimentary access to the on-site gym A supportive, professional, and fun team environment Opportunities for growth and advancement Please note: Housekeeping is a physically demanding role that requires extended periods of standing and walking, frequent bending and reaching, and the ability to lift and move items weighing up to 50 pounds, with or without reasonable accommodation. Team members may be exposed to cleaning products and will be provided with appropriate personal protective equipment. Due to the cyclical nature of the hospitality industry, team members may be scheduled for varying shifts to meet business needs. Thank you for your interest in joining the Crown Isle team. We appreciate all applications; however, only those selected for an interview will be contacted.