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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. SOURCING SPECIALIST, SUPPLY CHAIN (LAUNCH SITE) SpaceX is on a fast track to become the market leader in various product categories, including US-based human spaceflight, rapid vehicle reusability, internet services through the Starlink constellation, and other exciting projects. The SpaceX supply chain department is a critical player in our operations. To capitalize on SpaceX's technological and market-changing successes, our team will be part of managing an agile yet robust supply chain that will enable the company to maintain a competitive advantage. SpaceX's supply chain will play a key role in enabling it to meet these ambitious growth targets and help make us a multi-planetary species. This is a high-profile, operationally critical position that plays an integral role in enabling our launch manifest and key developmental goals. We are a progressive procurement organization pushing the boundaries of traditional procurement reputation and methodologies. We are looking for individuals who can think outside the box to achieve company objectives regarding value and partnerships with our suppliers. Our organization moves quickly, and you must too. SpaceX has the unique ability and desire to influence and shape suppliers to be better with us as we challenge our supply chain on cost, quality, and delivery. The Supply Chain team has aggressive objectives that positively impact our product and bottom line. We are looking for the right person who is equipped and ready for these challenges to join our team. RESPONSIBILITIES: Create commodity and capital sourcing strategies to reduce risk, enable continuous cost reduction, and align with company strategy on payment terms, cash targets, on-time delivery, and cost savings Develop and maintain key internal stakeholder relationships to evaluate sourcing models and optimize the value of products and services that support business requirements; maintain continuous cost reduction programs; communicate, manage, and drive compliance to category strategies; provide solutions to a wide range of difficult problems Develop and improve sourcing strategies to reduce risk and meet targets for the Launch & Recovery program Ensure the health of the supply base by evaluating and selecting suppliers based on capability, quality, reliability, and price competitiveness Conduct comprehensive supplier analysis to formulate a strategic sourcing plan that identifies new/suitable suppliers, optimizes cost models, and proactively ensures continuity of supply based on upcoming new product introduction campaign requirements Maintain vendor delivery of goods and services; execute purchasing transactions within the scope area by issuing purchase orders for SpaceX programs and ensure delivery; manage all relevant master data to ensure accurate and complete information at all times Identify and execute cost reduction projects, including planning, stakeholder coordination, timeline management, and project updates Utilize negotiations to maximize value and cost savings benefits while lowering risk Conduct research, perform benchmarking, and gather market analysis for assigned categories; Act as a market intelligence provider regarding categories; anticipate strategic opportunities and keep key stakeholders informed Direct and execute initiatives that support aggressive improvements in supplier quality, total cost effectiveness, enhanced service levels, improved coordination, delivery, pricing, lead-times, payment, risk compliance, and other areas as identified Benchmark, track, and analyze annual performance metrics and sourcing trends against budget every month to demonstrate continuous improvement and progress against strategic objectives Develop strong relationships with internal stakeholders, understanding their needs and consulting with them to build quality procurement strategies aligned to business requirements Drive make vs. buy decisions for new products, implement the strategy across the product lifecycle from development, qualification, first article runs through stable production Execute RFIs and RFPs, document bid events through correspondence to suppliers; conduct supplier negotiations and ongoing contract management Administer multimillion-dollar contracts and independently negotiate suppliers' contract terminology, pricing, technical requirements, scope, and terms involving responsibility, liability, indemnification, intellectual property, and export compliance BASIC QUALIFICATIONS: Bachelor's degree and 1+ years of experience working in one or more of the following; or 4+ years of experience working in one or more of the following: Engineering Supply Chain Purchasing Contract negotiation Material or production planning Operations management Material cost control Master production scheduling PREFERRED SKILLS AND EXPERIENCE: Experience working in a supply chain, production, finance, or engineering function Remarkable problem-solving skills Ability to prioritize appropriately to meet internal customer and company needs Effective written and verbal communication skills, with a strong ability to communicate with all levels of internal personnel Detail-oriented, self-motivated, and able to respond quickly to a fast-moving and ever-changing environment Strong budget tracking and cost analytical skills Experience in sourcing from a global supply base using various contractual models Proven success working on cross-functional new product introduction projects, completing cost models, and negotiating Strong skills in data analysis using Excel, SQL, and Power BI Ability to identify and resolve technical, operational, and organizational problems Holds self to the highest ethical standards, and conducts all activities with the highest integrity ADDITIONAL REQUIREMENTS: Must be able to travel - up to 25% work week travel may be required, including international travel Must be able to work extended hours and/or weekends as needed to meet major milestones This position is based in Cape Canaveral, FL, and requires being on-site - remote work not considered Ability to pass Air Force background check for Cape Canaveral 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 .

SQL in BigQuery? Gesneden koek. Een dashboard in Looker Studio? Staat er zo. Maar jij wil meer. Je wil weten welk verhaal er achter de cijfers zit, en je vertelt dat verhaal net zo graag. Met een advies waar klanten en collega's echt iets mee kunnen. AI zet je daarbij vanzelfsprekend in, om sneller en slimmer tot de kern te komen. Wij zijn Follo: een snelgroeiend, award-winning digital agency (ontstaan uit de fusie van vier topbureaus) waar data de basis is onder alles wat we doen. Als Medior Data Analist werk je zelfstandig voor een eigen set klanten en projecten, samen met onze Data & Analytics Consultants en de specialisten in Search en Social. Je levert niet alleen de cijfers, je vertelt ook wat ze betekenen en wat er moet gebeuren. Wat je gaat doen Je analyseert data uit onder andere GA4, advertentieplatformen en CRM- en e-commercesystemen en ontdekt zo trends, kansen en knelpunten. Je zet AI actief in om sneller patronen te herkennen, hypotheses te toetsen, SQL te schrijven en grote datasets te doorgronden, zonder je kritische blik op de uitkomsten te verliezen. Je presenteert je bevindingen aan klanten en collega's en vertaalt ze naar heldere, commerciële aanbevelingen. Je komt zelf met verbetervoorstellen voor marketing, meetopzet en businessprocessen, en kijkt verder dan de vraag. Je schrijft SQL in BigQuery en bouwt aan schone, herbruikbare datamodellen (bijvoorbeeld in Dataform), zodat databronnen goed gekoppeld zijn en iedereen met dezelfde definities werkt. Je ontwikkelt en onderhoudt overzichtelijke dashboards en rapportages in onder andere Looker Studio, en bepaalt mee welke KPI's er echt toe doen en hoe je die het best visualiseert. Je bewaakt de betrouwbaarheid van data, signaleert afwijkingen en spoort de oorzaak op, of die nu in de tracking, de koppeling of het model zit. Je maakt terugkerend werk slimmer met automatisering en AI, en deelt je kennis met het team. Wat je van ons mag verwachten Een salaris tussen de €3.250 en €5.000, afhankelijk van je ervaring. Een ambitieus team waarin verantwoordelijkheid en samenwerken voorop staan. 26 vakantiedagen per jaar, met de mogelijkheid om er 5 bij te kopen. Een eenmalig thuiswerkbudget tot €1.000 om je thuiswerkplek goed in te richten. Een goed geregeld pensioen, zonder eigen bijdrage. De vrijheid om hybride te werken, zodat jij het best tot je recht komt. Interne kennissessies, events en brainstorms, van AI en automatisering tot data deep-dives. Dit ben jij Je bent een analist met oog voor detail die het grotere plaatje blijft zien. Je werkt gestructureerd, bent nieuwsgierig en vindt het leuk om complexe data begrijpelijk te maken voor anderen. Daarnaast herken je jezelf in het volgende: Je hebt minimaal 2 jaar relevante werkervaring als data analist of in een vergelijkbare rol. Je bent communicatief sterk: je legt een analyse net zo makkelijk uit aan een marketing manager als aan een developer, en je durft met een onderbouwd advies te komen. Je beheerst SQL goed; ervaring met BigQuery is een grote pré. Je hebt ruime ervaring met dashboarding in Looker Studio, Power BI of een vergelijkbare tool. Je kent GA4 en begrijpt hoe online marketingdata tot stand komt. Ervaring met Google Tag Manager is een pré. Je gebruikt AI al in je dagelijkse analysewerk, of hebt de sterke ambitie om dat te doen. Kennis van Python of ervaring met Dataform of dbt is mooi meegenomen. Waarom Follo? Bij Follo is data geen bijproduct van marketing, maar het fundament eronder. Van Search en Social tot Marketplaces en CRO: elke strategie begint bij betrouwbare data en scherpe inzichten. AI is bij ons geen buzzword, maar onderdeel van hoe we dagelijks werken. Minder handwerk, meer tijd voor analyse, advies en impact. Data als fundament: met de FolloEngine, ons eigen platform voor data intelligence, datakwaliteit en automatisering, start je met een voorsprong. AI in je dagelijkse werk: je werkt met de nieuwste tools en technieken, van AI-gedreven analyse tot geautomatiseerde workflows. Sterke merken, echte vraagstukken: jouw analyses sturen de beslissingen van ambitieuze adverteerders. Werken aan internationale, award-waardige cases in een bureau met Europese ambities. Zin om bij Follo te werken? Meld je dan direct aan. Heb je nog vragen? Stuur onze recruiter een mail via . Tot snel! Find more English Speaking Jobs in Netherlands on Arbeitnow

Who we are Ranked in 2024 by the Financial Times, Moniepoint is Africa's fastest-growing fintech, trusted by over 10 million business and individual accounts, processing billions of Naira in transactions monthly . Our mission is to enable financial happiness for every African, everywhere . About this role: We're looking for a Data Scientist to sit at the heart of how we fight fraud — building the models, experiments, and detection systems that protect millions of customers and merchants across our platform . This is a high-impact role at the intersection of machine learning, product, and engineering, where your work will directly shape how Moniepoint detects and responds to emerging fraud threats . You are a data-driven, intellectually curious Data Scientist who is energized by hard problems in fraud and financial crime . You'll prototype and ship ML models, design experiments, and uncover new fraud signals across our ecosystem — partnering closely with engineers, product managers, and analysts to turn your work into production-grade systems . Responsibilities: Prototype, evaluate, and help produce machine learning models for fraud detection; own their ongoing monitoring and retraining cycles . Design and run experiments to measure the impact of fraud interventions, balancing customer experience against loss reduction . Size fraud typologies across our product lines to inform prioritization and investment decisions . Build and maintain anomaly detection systems to surface novel fraud vectors before they scale . Work closely with fraud operations, engineers, product managers, and data analysts to translate model outputs into real-world mitigations . Experience & Background: A strong foundation in statistics with a degree in a quantitative field (Statistics, Mathematics, Engineering, Computer Science, or similar). 3+ years of experience in data science, decision science, or risk analytics within fraud, payments, or financial crime. Hands-on experience building and deploying machine learning models in a production environment. Fraud, risk, or financial services experience is a strong plus. Solid grounding in data science fundamentals: experimentation, statistical inference, model evaluation, and feature engineering. Comfort working in fast-paced, cross-functional teams with high ownership expectations. Skills & Competencies: Proficiency in Python and SQL; comfort working across the full model development lifecycle . An investigative instinct — you enjoy digging into data to find patterns others miss . The ability to communicate technical findings clearly to non-technical stakeholders and translate insights into action . What Success Looks Like in This Role: Production-grade ML models and anomaly detection systems that effectively surface and mitigate novel fraud vectors before they scale . Well-designed experiments that successfully balance customer experience against fraud loss reduction . Clear sizing of fraud typologies that effectively drives product prioritization and strategic investment decisions . Seamless cross-functional alignment where technical model outputs are consistently translated into real-world fraud mitigations . Why Join Us? Culture: We put our people first and prioritize the well-being of every team member . We've built a company where all opinions carry weight and where all voi ces are heard . We value and respect each other and always look out for one another . Above all, we are human . Learning: We have a learning and development-focused environment with an emphasis on knowledge sharing, training, and regular internal technical talks . Compensation: You'll receive an attractive salary, pension, health insurance, annual bonus, plus other benefits . Moniepoint is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees and candidates. Find Jobs in United Kingdom on Arbeitnow

Our mission We're making Africa the first cashless continent. In 2017, over half the population in Sub-Saharan Africa had no bank account. That's for good reason—the fees are too high, the closest branch can be miles away, and nobody takes cards. Without access to financial institutions, people are forced to keep their savings under the mattress. Small business owners rely on lenders who charge extortionate rates. Parents spend hours waiting in line to pay school fees in cash. We're solving this by building financial services that just work: no account fees, instantly available, and accepted everywhere. In places where electricity, water and roads don't always work, you can still send money with Wave. In 2017, we launched a mobile app in Senegal for cash deposit, withdrawal, and peer-to-peer and business payments. Now, we have millions of users across 9 countries and are growing fast. Our goal is to make Africa the first cashless continent and that's where you come in... How you'll help us achieve it We are growing our product design team and looking for an experienced mobile designer to expand features on our Android and iOS apps. You will have the opportunity to make financial services more accessible and inclusive for millions of people through working with thoughtful product managers, researchers, and engineers! In this role, you'll: Work closely with product managers, user researchers, engineers, and data analysts from the start to end of a feature. Create high quality designs, interactions, and prototypes to explore ideas in service of the best solution for the project (Wave uses Figma). Craft user research plans and work directly with our user researchers to identify problems and validate solutions in user testing. Contribute to Wave's design system and component library. Talk to customers and find solutions to their problems by thinking critically from their perspective. Communicate the reasoning behind your product decisions in review sessions and in conversation with PMs. Prototype visual and UX concepts and iterate towards the right solution (Wave uses Claude for mobile prototyping with Android apks). Key details This is a fully remote role. Candidates must be based in one of our hiring hubs (US, UK, Spain, Kenya, Ghana, Canada) or in one of our operating markets in Africa, including Senegal, Côte d'Ivoire, and Burkina Faso. You'll travel to one of our key markets for a 1 week immersion trip with your immediate team (Wave covers all costs). Outside of this 1 week immersion, you'll also travel to a market country with our product design lead and PMs, for a total of travel 2x a year. You're highly encouraged to visit market counties more often! We also provide a yearly stipend of $1,200 USD to meet with coworkers every year. Our salaries are competitive and are calculated using a transparent formula. For this role, we are offering a salary of up to $187,000 USD based on your location (paid in your local currency equivalent), plus a generous equity package. Major benefits: Subsidized health insurance for you and your dependents and retirement contributions (both vary from country to country) 6 months fully paid parental leave and subsidized fertility assistance Unlimited vacation with a 20-day minimum requirement, with most folks taking between 21-30 days exclusive of statutory holidays $10,000 annual charitable donation matching Requirements Experience with low and high-fidelity design & prototyping with LLMs on Android mobile apps Fluency in English. French language skills are a plus. At least 6 years of end-to-end in-house experience, with a consumer focus on product design with mobile apps. Excellent visual and interaction design skills, with an eye at removing friction from flows Attention to detail and high level of visual craft Strong illustration and animation skills. We use After Effects and Lottie at Wave but anything that can be converted to a Lottie file works Ability to deliver high-quality designs with speed and polish Bias towards action. Identify UX improvements without waiting for the perfect conditions Excellent communication and collaboration skills Ability to think through complex interaction design as well as thinking about tradeoffs of each solution Curiosity for understanding and unpacking customer behaviors and needs Experience balancing business goals, customer needs, and technical tradeoffs, while explaining your point of view to the team You might be a good fit if you Are detail-oriented and able to balance multiple projects Can iterate separate concepts quickly to user test design bets. The ability to move fast and update designs based on customer feedback is an important quality we're looking for Think carefully about in-the-weeds details and their role within the design system Feel comfortable anticipating and designing for edge cases Enjoy pairing with designers, engineers, and product managers Are excited to learn about how all our products work together Can speak, read, and write in French. This is nice to have but not a strong requirement - we have large markets in West Africa where French will come in handy. Our team We have a rapidly growing in-country team in Senegal, Côte d'Ivoire, Mali, Burkina Faso, The Gambia, Uganda, Niger, Sierra Leone, and Cameroon plus remote team members spread across the world. We're deeply passionate about our mission of bringing radically affordable financial services to the people who need them most. We foster autonomy for our employees. You'll own your projects at every stage, from understanding the problem to monitoring your solution in production. We raised the largest Series A in Africa in 2021. Our world-class investors, include Founders Fund, Sequoia Heritage, Stripe, Ribbit Capital, Y Combinator, and Partech Africa. We are on Y Combinator's top companies by revenue . How to apply Fill out the form below, and upload a resume in English and a cover letter describing your interest in Wave and the role. We review applications frequently and recommend that you apply to the role that most closely aligns with your skills, experience and career goals. Wave is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Find Jobs in United Kingdom on Arbeitnow

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