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Your mission Join anzel - The AI for the business of sport. Clubs, leagues and federations hold deep commercial knowledge, but most of it sits in spreadsheets and in the heads of a few experts. anzel turns that knowledge into finished work: sponsor ROI reports, pitch narratives, pricing analyses, partner fit assessments. Sports business experts who have done this work in sport write the skills in plain language. Agents do the work over a knowledge base those experts have checked. Nothing reaches a customer until it passes its tests. Think of anzel as an experienced senior colleague who has done this many times before. The role In this role you own the platform every anzel agent runs on, and you set its architecture: what we build, what we buy, what we retire, written down so people and agents work from the same decisions. At anzel, AI writes most of our code and engineers guide it, so you build alongside a small senior team, close to the customer. The hard part isn't the demo. It's making agents dependable for many customers at once: correct answers, each customer's data kept separate, and work you'd trust with a real sponsorship deal. What you'll own The harness. How a skill written in plain language becomes a reliable agent: tools, orchestration, long running work that resumes after a failure, memory and context, retrieval, structured output, model routing, fallbacks and rollback. Models and providers sit behind our own interfaces, so we never depend on one vendor. Tools and MCP. The tool layer our agents use, which tools each agent gets, how they're versioned, and how access is scoped and logged per customer. Safe agents and separate data, with our head of engineering, who owns infrastructure, security and compliance. Each customer's data is isolated, every tool has only the access it needs, prompt injection is defended against, and every agent's actions are recorded. Quality in the pipeline, evaluations run on every change. The test sets come from our practitioners and our evaluation engineer, so nobody marks their own work. Every run is traced, with the cost and time of each piece of work visible. The engineering system, continuous delivery, review with coding agents doing the first pass, and releases that roll back in minutes. You lead by building, with clear decisions and fast, kind reviews. Your profile Eight or more years building and running production software, or the equivalent built on your own. Real backend depth, APIs, a relational database, queues, long running workflows. Language model products that real users relied on, you can tell us about one that failed and what you changed. Retrieval that works, agents beyond a demo, and the judgment to know when an agent is the wrong tool. Evaluations that proved whether a change helped, y ou distrust a passing test until you know what would make it fail. Coding agents every day, several at once, without shipping code nobody understands. A security mindset from running systems that held customer data. Something you've built that you can show us. Professional English; German is a plus. Why us? You own the platform of a new product, with real customers from day one. A small senior team, almost no bureaucracy, your own machine and your own choice of tools. The work matters, it helps sport close better deals, price with confidence and put more money back into the game. Startup energy with backing, You get the pace of a startup, supported by XU Group's experience and network. A strong package, highly competitive pay that reflects the seniority and responsibility of the role. Find more English Speaking Jobs in Germany on Arbeitnow

CUBE are a global RegTech business defining and implementing the gold standard of regulatory intelligence for the financial services industry. We deliver our services through intuitive SaaS solutions, powered by AI, to simplify the complex and everchanging world of compliance for our clients. Why us? 🌍 CUBE is a globally recognized brand at the forefront of Regulatory Technology. Our industry-leading SaaS solutions are trusted by the world's top financial institutions globally. 🚀 In 2024, we achieved over 50% growth, both organically and through two strategic acquisitions. We're a fast-paced, high-performing team that thrives on pushing boundaries—continuously evolving our products, services, and operations. At CUBE, we don't just keep up we stay ahead. 🌱 We believe our future is built by bold, ambitious individuals who are driven to make a real difference. Our "make it happen" culture empowers you to take ownership of your career and accelerate your personal and professional development from day one. 🌐 With over 700 CUBERs across 19 countries spanning EMEA, the Americas, and APAC, we operate as one team with a shared mission to transform regulatory compliance. Diversity, collaboration, and purpose are the heartbeat of our success. 💡 We were among the first to harness the power of AI in regulatory intelligence, and we continue to lead with our cutting-edge technology. At CUBE, You will work alongside some of the brightest minds in AI research and engineering in developing impactful solutions that are reshaping the world of regulatory compliance. Role Mission: The Data Analyst role within the Customer Data Operations team is pivotal in driving the value and effectiveness of the CUBE Platform. This role involves leveraging advanced analytical skills to connect and optimise customer risk and control data within the CUBE Network. The position also focuses on improving data processes and ensuring that CUBE's Network data reflects a consensus view of customers' risk and control data with the highest standards of quality and consistency. Key Responsibilities · Support Subject Matter Experts (SMEs) in the process of connecting customer data to the CUBE Network using advanced data matching protocols, tools, and Python-based solutions. · Collaborate with subject matter experts to deliver high-quality, accurate data insights for customers while continuously improving your own expertise in risk and control frameworks. · Work closely with the Product and Engineering teams to design and implement improved data processing workflows and tools, leveraging Python for automation and analysis. · Assist in defining and refining CUBE's consensus-based risk and control indices and business rules to maintain Network consistency. · Ensure the ongoing quality, consistency, and accuracy of CUBE's data, applying technical standards and quality control rigorously across all core content. · In addition to the duties and responsibilities listed above, the postholder may also be reasonably expected to perform duties of a similar or related nature to those outlined in the job description, and/or to undertake ad hoc or special responsibilities, in line with all other employees of the company. However, such tasks or projects will not be expected to form a dominant part of the individual's role. Skills & Competencies · Data Management & Quality: Executes data cleansing, validation, and enhancement tasks. Ensure data accuracy and consistency under supervision. · Risk & Governance: Understands basic data governance and control principles. Supports compliance and data integrity checks. · Tools, Automation & AI: Demonstrates proficiency in Python, SQL, Excel, and visualisation tools. Begins exploring AI and ML automation techniques. · Problem-Solving & Innovation: Applies structured problem-solving to resolve data issues and suggest small process enhancements. · Communication & Collaboration: Communicates clearly with team members and contributes accurate data outputs to shared projects. · Operational Execution: Completes assigned data tasks efficiently and on time, following defined workflows. · Mentoring & Leadership: Seeks guidance from peers and shares knowledge with the team. Build confidence through learning and feedback. Required Experience & Qualifications · Some experience in a data-focused role. · Proficiency in MS Office, particularly Excel. · Familiarity with working in a fast-paced, scale-up environment, preferably within the FinTech or RegTech sectors. · Self-starter with a pragmatic and proactive approach. · A collaborative and flexible team player who can contribute positively to the company's culture. · Proven self-starter with a pragmatic and proactive approach to problem-solving and innovation. · Proficiency in at least one of the following data analysis tools and languages, such as Python, SQL, MS/Azure Foundry and data visualisation tools (e.g., Tableau, Power BI). Interested? If you are passionate about leveraging technology to transform regulatory compliance and meet the qualifications outlined above, we invite you to apply. Please submit your resume detailing your relevant experience and interest in CUBE.​ CUBE 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

adjoe builds the technologies behind mobile apps growth and monetization. With our core product Playtime Arcade , we've become the global leader in rewarded advertising, an ad unit built on a simple premise: users earn real in-app rewards for engaging with new apps. The result is one of the most effective value exchanges in adtech, connecting advertisers and publishers with over 770 million users annually. Architecting Intelligence to Optimize 200M+ Daily Decisions As the intelligence core of our engineering organization, our Data Science team doesn't just deploy models, we engineer the fundamental decision engine that powers our platform. At a scale of 770 million users and 100,000+ predictions per second , we are solving a multi-objective optimization problem that balances user incentives, advertiser ROI, and long-term platform health in real time. Our architecture is built on a 1PB+ behavioral data lake , providing the high-fidelity input necessary to train deep learning models that predict individual user engagement with precision. We aren't just optimizing clicks, we are dynamically calculating optimal reward structures to sustain a global value exchange. Engineered for performance, our stack leverages Tensorflow and PyTorch for model training , NVIDIA Triton to achieve sub-100ms inference . We own the full ML lifecycle from high-level research and feature engineering to deployment and A/B experimentation. Here, you will find the autonomy, the data depth, and the massive scale required to solve the most complex optimization challenges in the adtech ecosystem. The data infrastructure behind this runs at real scale: 2TB ingested in real time every day , 100+ Airflow jobs and data pipelines , and ML models handling p99 latency of 100ms across 100,000+ predictions per second . What you will do: Analyze and evaluate the performance of our machine learning models using user-level and aggregated data, identify inefficiencies and failure patterns, and turn findings into actionable recommendations for our Data Science teams. Investigate how our ML models perform in the real world and compare model assumptions and predictions with actual user and business behavior. Identify gaps between offline model performance and online outcomes and help the team close them. Define and improve metrics for measuring ML model performance and business impact , working closely with Data Scientists and Product Managers to ensure we optimize for the right outcomes. Design, prepare and analyze A/B tests and other experiments to measure the impact of new models, features and algorithmic changes. Assess statistical significance, experiment quality and practical business impact. Build dashboards and automated reports that make ML model performance, experiments and key business metrics transparent and easy to understand for technical and non-technical stakeholders. Act as a bridge between Data Science, Product and Business teams , translating business questions into analytical problems and turning complex ML insights into clear recommendations and decisions. Challenge product and technical decisions with data , bringing an independent analytical perspective to model development, experimentation and product strategy. Document your analyses, methodologies and findings and build reusable analytical approaches that can be applied across models and experiments. Who you are: You have a degree in mathematics, statistics, physics, computer science, economics, analytics , or a similar quantitative field. You have 5+ years of relevant experience in Data Analytics, Product Analytics, Experimentation, Data Science or a similar role. Experience in AdTech, mobile apps or ML-driven products is a strong plus. You have a strong analytical mindset and enjoy digging into data to understand why something happens , not just what happened. You're proficient in SQL and comfortable working with large datasets. You have strong Python or R skills and are comfortable using them for data analysis and statistical modelling. You have a solid understanding of statistics and experimentation , including hypothesis testing, confidence intervals, statistical significance and A/B test analysis. You have an understanding of machine learning concepts and model evaluation and are comfortable working with Data Scientists. You don't necessarily need to build ML models yourself, but you should understand how to assess their performance and limitations. You have experience working with model and business metrics , and can connect technical model performance to real-world business outcomes. You have excellent data visualization skills and experience building dashboards using tools such as QuickSight, Power BI, Tableau, R Shiny, Streamlit or similar. You are comfortable communicating complex analytical findings to both technical and non-technical audiences . Fuel for the Journey: Benefits to Support Your Ambitions Invest in Your Future: Regular feedback and our development program support your growth, helping you expand your skill set and achieve your career goals. Easy Arrival to adjoe: From signing to settling in Hamburg, we've got you covered. Need a visa? No problem. Ready to build your new life and career at adjoe in Hamburg? We support every ambition—from learning German to a relocation bonus that helps you settle in and make Hamburg feel like home. Live Your Best Life, at Work and Beyond: We work in a hybrid setup with 3 core office days, plus flexible working hours. Enjoy 30 vacation days, 3 weeks of remote work per year, and free access to an in-house gym with lots of different fitness classes and mental health support through our Employee Assistance Program (EAP). Thrive Where You Work: Enjoy the Alster lake view from our central office with top notch equipment, fun open spaces, and a large variety of snacks and drinks. Join the Community! Participate in regular team and company events, including hackathons and social gatherings. We work together, and we celebrate together, too. Skip writing cover letters. Tell us about your most passionate personal project, your desired salary and your earliest possible start date. We are looking forward to your application! We welcome applications from people who will contribute to the diversity of our company. We welcome applications from people who will contribute to the diversity of our company. Find more English Speaking Jobs in Germany on Arbeitnow

The Role.. We are starting a labour optimisation programme with our Operations team, alongside FP&A and Data Science. The aim is to improve our wage percentage to sales while improving service standards at the same time. We are not interested in an approach that delivers one at the expense of the other. We are currently selecting an advanced scheduling platform to support this. The analytical foundation underneath it — how we measure productivity, what our labour standards are, how good our demand forecasts need to be — is what this role owns. You will sit in the Data team and work in close partnership with FP&A. Analysis alone will not move the number; changes stick when a Finance Business Partner and a General Manager can see the opportunity in their own House, agree the size of it and hold it in their forecast. Your job is to give them that, in a form they can act on. Key responsibilities.. Labour productivity analysis, identifying site-by-site opportunities for efficiency gains and sizing each one Work with Operations and Finance to trial changes to scheduling and measure their impact Build improved labour reporting, so Business Partners and GMs can see productivity, schedule changes and shift adherence on a daily and weekly cadence Support Finance translate demand forecasts into labour requirements, helping to build the models that turn covers, check-ins, treatments and occupancy into hours by role Partner with our Data Science and Operations teams to understand forecast accuracy and recommend improvements Connect labour deployment to member experience, so that productivity gains are demonstrably not coming out of the House Required skills and experience Proven experience in labour optimisation. You have personally delivered measurable improvement in wage percentage or sales per labour hour in a multi-site operation, and can talk us through the levers you pulled, how you sized them and how you proved the result A track record of partnering finance and operational stakeholders to land change, not just report on it 5+ years in an analytics role, with genuine multi-site operational exposure — hospitality, retail, leisure or QSR Advanced SQL, and comfort in a modelled data warehouse (Snowflake and dbt an advantage) Strong financial modelling in Excel, and fluency in P&L mechanics — wage percentage, flow-through, contribution BI development experience (Omni, Looker, Tableau or Power BI), building tools operators actually use Experience with rota, time and attendance and payroll data, and a realistic view of its challenges Able to evaluate a demand forecast critically — accuracy, bias, seasonality — without needing to build one Desirable Experience with a workforce management or scheduling platform — Unifocus, HotSchedules, Dayforce, Fourth, S4 Labour, UKG, Quinyx or similar An understanding of how labour regulation constrains labour models internationally, particularly the US — predictive scheduling and fair workweek rules, overtime and break requirements Labour standards or time-and-motion experience Python for analysis, or use of AI tooling such as Claude Code to accelerate it Experience linking labour deployment to customer experience outcomes Find Jobs in United Kingdom on Arbeitnow

About Swap Swap is the infrastructure behind modern agentic commerce. The only AI-native platform connecting backend operations with a forward-thinking storefront experience. Built for brands that want to sell anything - anywhere, Swap centralises global operations, powers intelligent workflows, and unlocks margin-protecting decisions with real-time data and capability. Our products span cross-border, tax, returns, demand planning, and our next-generation agentic storefront, giving merchants full transparency and the ability to act with confidence. At Swap, we're building a culture that values clarity, creativity, and shared ownership as we redefine how global commerce works. Swap is entering a new data-driven era, and we need an Analytics Engineer to help us build for it. You'll join our Analytics Engineering team as a key contributor with real ownership. Your models will power the whole business, from the commercial insights Sales and Finance run on to the trusted data behind our customer-facing agentic systems. You'll help shape a modern, scalable data architecture, and you'll see your work used. We want a hands-on builder who wants to work in a high-quality dbt project and help set our analytics direction. If you like fast-moving, collaborative teams where your work counts, we'd love to hear from you. What you'll do Scale our dbt project, shaping its architecture and CI/CD so it keeps up with company-wide ambitions. Help define our data modelling strategy and maintain the core set of fast, scalable, and trusted models that everything downstream relies on, from our BI tool to our agentic systems and analytics APIs. Champion strong standards for data quality, PII governance, testing, and documentation, so our data stays reliable as we grow. Work with Sales, Finance, and Product to turn business questions into clear data requirements, and keep delivery expectations realistic. Help build and refine the foundational data assets in Lightdash, so stakeholders and analysts can get to answers themselves. What we'd like to see Solid experience in a data role such as Analytics Engineering, Data Engineering, or BI Development (or equivalent academic experience). Hands-on dbt experience, ideally. Hands-on orchestration experience, with tools like Airflow or Dagster. Strong SQL and a good grasp of data modelling patterns. Experience with a modern cloud data warehouse, such as Snowflake or BigQuery. Confidence with Git and version control. Clear communication, and the ability to work well with technical and non-technical colleagues. A detail-oriented mindset, and a drive to keep learning and build data products people can trust. Diversity & Equal Opportunities: We embrace diversity and equality in a serious way. We are committed to building a team with a variety of backgrounds, skills, and views. The more inclusive we are, the better our work will be. Creating a culture of equality isn't just the right thing to do; it's also the smart thing. Find more English Speaking Jobs in United Kingdom on Arbeitnow

Req ID: FEQ427R358 Location: London (or surrounding areas) The Role As a Senior Solutions Engineer, you will independently lead technical engagements for customers, owning discovery, solution design, and platform demonstrations. You are a builder who can code, architect, and present—combining technical depth with customer-facing skills to drive Databricks adoption. You will own frontline customer relationships and work with your Account Executive to develop technical strategies that expand platform usage. The Impact You Will Have Independently lead technical discovery and solution design for customer workloads spanning data engineering, analytics, and machine learning Build and deliver compelling proofs-of-concept and live demos on the Databricks Platform that drive technical wins Own frontline technical relationships with customer engineers, data teams, and technical leads Develop account-level technical strategies in partnership with your Account Executive to grow platform consumption Navigate competitive landscapes by articulating Databricks differentiation through hands-on demonstrations Contribute reusable technical assets (notebooks, solution accelerators, reference architectures) to the broader SA community What We Look For 4+ years in data engineering, solutions architecture, technical pre-sales, or a hands-on consulting role Proficient in Python and SQL with demonstrated ability to debug, optimise, and write production-quality code — live coding is a required interview stage Hands-on experience designing and implementing data solutions on at least one public cloud platform (AWS, Azure, or GCP) Working knowledge of distributed data systems: Apache Spark™, Delta Lake, or equivalent (Hadoop, Kafka, Flink) Experience leading technical customer conversations — discovery, whiteboarding, architecture reviews Familiarity with one or more: data engineering (ETL/ELT, medallion architecture, streaming), data science/ML (model training, MLOps), or SQL analytics Strong presentation and demo skills — you will build and present a live solution during the interview Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience) Nice to Have: Databricks certification or experience with the Databricks Platform Experience with Unity Catalog, Lakeflow Spark Declarative Pipelines, or MLflow Background at a data/AI company, cloud provider, or technical consulting firm Interview Process: Recruiter Screen → Hiring Manager Screen → Design and Architecture Interview → Live Coding Assessment → Build, Demo, Pitch! Presentation → Reference Check About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone. Find Jobs in United Kingdom on Arbeitnow

At Stark, we forge the future of European and national security through cutting-edge, AI-driven technology and unmatched engineering precision. As a premier defence technology company, our mission is clear: to equip NATO Allies and their partners with next-generation autonomous defence platforms and advanced AI-driven software built to perform in the world's most demanding environments. We believe that true security stems from relentless innovation. By combining elite engineering talent with agile technology and an AI-native operational culture, Stark turns complex defence challenges into field-tested, multi-domain solutions. Why Join Us? The software and systems you work on directly protect personnel and defend European and national sovereignty. You will work alongside industry-leading minds on autonomous systems, advanced propulsion, and secure cyber platforms. We foster a fast-paced, collaborative environment where bold ideas are supported by serious R&D backing. About the Team The Operations Excellence team sits within the COO organization and serves as a strategic partner to managers, team leads, and colleagues across Stark. By delivering data-driven insights, leading critical projects, and driving continuous process improvement, we help the organization operate more efficiently, scale effectively, and achieve its goals faster. As an individual contributor, you will take end-to-end ownership of complex initiatives with significant business impact. Working closely with cross-functional stakeholders, you will have the opportunity to influence key decisions, shape core operating processes, and contribute directly to the success of one of Europe's fastest-growing unicorns. Your Mission As Data & Machine Learning Engineer, you own the data infrastructure and ML model development for the OAA team's AI use cases. You build the pipelines that feed models with clean, reliable data from both operational systems and back-office sources, deploy models into production, and ensure they perform reliably — from yield prediction on the line to anomaly detection in financial data. Responsibilities Design and build data pipelines from operational (MES, ERP) and back-office sources feeding ML models Develop ML models for production and back-office use cases — from experimentation through to production deployment Deploy models into production: serving infrastructure, monitoring, drift detection, and retraining workflows Work with the OAA Lead and stakeholders to scope and validate ML use cases — feasibility, data availability, ROI Collaborate with the Automation Engineer to integrate model outputs into automated workflows Maintain and improve deployed models as data distributions and operational conditions evolve Document data pipelines, model architectures, feature definitions, and deployment configurations Required Skills 4–7 years in data engineering or ML engineering Demonstrated experience deploying ML models to production: not just research or notebook-level work Python: core language for data engineering and ML development SQL: data extraction, validation, and pipeline development ML frameworks: scikit-learn, PyTorch, or equivalent MLOps fundamentals: model versioning, serving, monitoring, retraining MSc in Data Science, Computer Science, Statistics, or equivalent Nice-To-Have Data pipeline tooling: Airflow, dbt, or equivalent Cloud data platforms: AWS, GCP, or Azure Experience with industrial, time-series, or back-office financial data Equal Opportunity: At Stark Defence, we are committed to building a diverse, inclusive, and high-performing team. We operate in an industry where women, as well as other minority groups, are systematically under-represented. We actively encourage applications from candidates of all backgrounds and identities. If you are excited about this role, we encourage you to apply even if you don't meet all the listed qualifications—ability and impact cannot be summarised in a few bullet points. We value unique perspectives, adaptability, and a drive to solve high-stakes challenges. Security Clearance: Due to the nature of our work in the defence sector, candidates must be eligible to obtain and maintain the appropriate security clearance required for this position. Details will be provided during the recruitment process. Find more English Speaking Jobs in Germany on Arbeitnow

Deine Aufgaben Die Eberhardt Service Group steht für modernes, nachhaltiges Facility Management und die kontinuierliche Weiterentwicklung unserer Leistungen. Digitalisierung, künstliche Intelligenz und die intelligente Nutzung von Daten eröffnen dabei enorme Chancen: Prozesse können einfacher werden, Mitarbeitende entlastet, Entscheidungen besser getroffen und unsere Leistungen für Kunden weiterentwickelt werden. Dafür suchen wir eine Persönlichkeit, die AI & Data nicht nur strategisch denkt, sondern ins Unternehmen bringt und messbare Wirkung erzeugt. Als Head of AI & Data (m/w/d) übernimmst du die Verantwortung für die Weiterentwicklung von AI, Data und digitalen Lösungen innerhalb der Eberhardt Service Group. Du verbindest Unternehmensstrategie, operative Prozesse und Technologie und entwickelst daraus konkrete Lösungen, die im Alltag funktionieren: Du entwickelst gemeinsam mit der Geschäftsführung die AI- und Data-Strategie der Eberhardt Service Group und übersetzt sie in eine klare Roadmap und konkrete Maßnahmen. Du analysierst gemeinsam mit den Fachbereichen bestehende Prozesse und identifizierst Potenziale für AI, Daten, Digitalisierung und Automatisierung . Du bewertest, priorisierst und steuerst AI- und Data-Initiativen nach Nutzen, Aufwand, Risiko, Wirtschaftlichkeit und Skalierbarkeit – von der Idee bis zur erfolgreichen Umsetzung. Du verantwortest die Entwicklung und Implementierung von AI-Anwendungen, Automatisierungen, digitalen Tools und datenbasierten Lösungen und entscheidest gemeinsam mit den relevanten Stakeholdern, was wir selbst entwickeln, einkaufen oder integrieren. Du baust die notwendigen Datenstrukturen, Governance und Standards für einen sicheren, verantwortungsvollen und skalierbaren Einsatz von AI und Daten auf und berücksichtigst dabei Datenschutz, Informationssicherheit und regulatorische Anforderungen. Du machst den Nutzen von AI und Data messbar, entwickelst Business Cases und KPIs und stellst sicher, dass erfolgreiche Lösungen einen konkreten Beitrag zu Effizienz, Qualität, Produktivität und Unternehmensentwicklung leisten. Du führst und entwickelst das AI-&-Data-Team, baust die entsprechenden Kompetenzen im Unternehmen weiter aus und arbeitest eng mit Geschäftsführung, Führungskräften und Fachbereichen zusammen. Dein Profil Abgeschlossenes Studium, z. B. in Wirtschaftsinformatik, Informatik, Data Science, AI oder einem vergleichbaren Bereich – alternativ eine vergleichbare praktische Qualifikation. Mehrjährige Erfahrung in AI, Data, Digitalisierung, Automatisierung oder Technologie. Erfahrung in der Entwicklung und Umsetzung von AI-/Data-Strategien und konkreten Use Cases. Erfahrung in der Führung von Teams und/oder größeren Projekten sowie in der Verantwortung für Budgets und Ressourcen. Nachweisbare Erfahrung darin, digitale, AI- oder Data-Lösungen aufzubauen, einzuführen und zu skalieren. Verständnis für Claude, Python, Generative AI, LLMs, AI-Agenten und Automatisierung. Gute Kenntnisse in Data Governance , Datenplattformen, Analytics und Datenqualität. Idealerweise Erfahrung mit Systemen wie SAP BO oder ELO. Erfahrung mit Cloud- und AI-Plattformen, idealerweise im Microsoft-Umfeld Verständnis für den gesamten AI-Lifecycle – von der Idee über Piloten bis zum produktiven Betrieb. Erfahrung mit Business Cases, ROI-Betrachtungen und der wirtschaftlichen Bewertung von Technologie. Grundlegendes Verständnis moderner IT- und Microsoft-Umgebungen. Ausgeprägte Kommunikationsstärke: Du kannst mit der Geschäftsführung über Strategie und Investitionen sprechen, mit operativen Führungskräften über Prozesse und mit technischen Spezialisten über Architektur, Daten und AI. Erfahrung in Change-Management und im Aufbau von AI-/Data-Kompetenzen in Fachbereichen, die neu mit diesen Themen in Berührung kommen. Sehr gute Deutschkenntnisse (C2) und gute Englischkenntnisse (B2) Warum wir? Einen sicheren Arbeitsplatz in einem modernen und nachhaltig ausgerichteten Unternehmen Eine verantwortungsvolle Schlüsselposition mit direktem Einfluss auf die Weiterentwicklung der Eberhardt Service Group Viel Gestaltungsspielraum beim Aufbau und der Weiterentwicklung des Bereichs AI & Data Ein kollegiales, familiäres Arbeitsumfeld mit kurzen Entscheidungswegen Spannende und abwechslungsreiche Projekte im Facility Management Persönliche und fachliche Entwicklungsmöglichkeiten Angebote rund um Gesundheit, Fitness und mentale Gesundheit Eine faire und marktgerechte Vergütung, die sich an deiner Erfahrung und deinen Kompetenzen orientiert. Find Jobs in Germany on Arbeitnow

Was erwartet dich bei uns? Weiterbildung ab Tag 1 : Wir unterstützen dich zeitlich und finanziell bei deiner persönlichen und fachlichen Entwicklung. Starke Unternehmenskultur : Offene Kommunikation, Hilfsbereitschaft, authentische Zusammenarbeit und ein echtes Learn-it-all-Mindset. New Work leben : Flexible Arbeitsorte, Workation in Europa und kultureller Austausch mit Kolleginnen und Kollegen aus Spanien. Teamspirit : Arbeite mit Menschen, die motiviert sind, gemeinsam voranzukommen – und voneinander lernen wollen. Gestaltungsspielraum : Bei uns kannst du aktiv mitgestalten und echten Mehrwert für Kundschaft und Team schaffen. Top Arbeitsumgebung : Modern ausgestattete Büros, unter anderem im Circle am Flughafen Zürich, im PostParc in Bern und an bester Lage in Basel. Einführung Liegt deine Leidenschaft darin, mit AI echten Mehrwert für unsere Kunden zu schaffen und moderne Data- & AI-Lösungen nicht nur zu entwickeln, sondern gemeinsam mit deinem AI-Agententeam erfolgreich in die Produktion zu bringen? Verbindest du technisches Know-how mit Eigenverantwortung, Kundenverständnis und einem echten AI-first Mindset? Denkst du gerne einen Schritt weiter, übernimmst die Führung und hast Freude daran, mit spezialisierten AI-Agenten neue Wege zu gehen? Dann gehörst du in unser Team! Bei uns arbeitest du nicht einfach mit AI – du gestaltest aktiv mit, wie wir als Unternehmen und für unsere Kunden arbeiten. Du gibst deinem AI-Agententeam die Richtung vor, verteilst Aufgaben, triffst Entscheidungen und verantwortest das Ergebnis. Dabei kombinierst du deine Expertise mit spezialisierten Agenten und entwickelst unsere Agenten und Workflows laufend weiter. Dafür stehst du am Morgen auf: Du baust Datenpipelines und Datenmodelle mit Databricks oder Microsoft Fabric auf Azure auf und schaffst damit die Grundlage für moderne AI- und Analytics-Lösungen. Du klärst Anforderungen direkt mit unseren Kunden, stellst die richtigen Fragen, entwickelst passende Lösungsarchitekturen und treibst die Umsetzung eigenständig voran. Du führst dein AI-Agententeam durch Entwicklung, Testing und Dokumentation, verteilst Aufgaben gezielt und stellst die Qualität der Ergebnisse sicher. Du kombinierst deine Engineering-Expertise mit spezialisierten AI-Agenten und entwickelst gemeinsam mit ihnen effiziente Workflows für unsere Projekte. Du machst Daten mit semantischen Modellen und Reports in Power BI für unsere Kunden nutzbar und schaffst damit eine belastbare Basis für Analytics und AI. Du bringst neue AI-Tools und Technologien in unsere tägliche Arbeit ein, experimentierst mit neuen Ansätzen und entwickelst bestehende Workflows kontinuierlich weiter. Du begleitest Kunden in der deutschsprachigen Schweiz und übernimmst Verantwortung dafür, dass aus technischen Lösungen echter Mehrwert entsteht. Wir wünschen uns von dir: Praktische Erfahrung im Data Engineering mit Databricks oder Microsoft Fabric sowie solide SQL- und Python-Kenntnisse. Fundierte Power-BI-Kenntnisse, inklusive Datenmodellierung, DAX und Power Query. Hohe Selbstständigkeit und ausgeprägte Ownership: Du stellst die richtigen Fragen, triffst Entscheidungen und bringst Themen eigenständig ins Ziel. Erfahrung im direkten Kundenkontakt und die Fähigkeit, technische Zusammenhänge verständlich zu vermitteln und gemeinsam mit Kunden passende Lösungen zu entwickeln. Ein ausgeprägtes AI-first Mindset: Du denkst in Agenten und Workflows, probierst neue Tools aus und hinterfragst die Ergebnisse kritisch. Freude daran, Verantwortung für ein Team aus AI-Agenten zu übernehmen, Aufgaben sinnvoll zu orchestrieren und die Qualität des gesamten Ergebnisses sicherzustellen. Neugier und Bereitschaft, dich laufend mit neuen AI-, Azure- und Microsoft-Technologien auseinanderzusetzen. Bereitschaft, Kunden in der deutschsprachigen Schweiz auch vor Ort zu begleiten. Find Jobs in Switzerland on Arbeitnow

🧡 About Alma At Alma, we believe sustainable commerce depends on fair, well‑balanced trade. Because finance plays a pivotal role in business, our mission is to put it back in its rightful place - serving merchants and consumers. Our installment and deferred payment solutions help merchants boost sales by 20% or more, increase customer loyalty, and deliver a seamless shopping experience - without encouraging bad debt. As the buy now pay later leader in France and active in 10 European countries, we've empowered over +25,000 merchants and 10 million consumers. With 400+ Almakers and €100M+ ARR, Alma is scaling rapidly across Europe as a member of the Next40, and we're just getting started! 👐 About the team You will join Alma's central Data team, which supports a wide range of business teams, including Finance, Product, Marketing, Risk, and Operations. The team is made up of six Data Analysts, including several experienced colleagues, and works at the intersection of Data Engineering, Data Analytics, and business teams. Reporting to Gil Marlard , you will help strengthen the data foundations that support reporting, analytics, operational processes, and business decision-making. This position is a permanent (CDI) role based in Paris, with a hybrid working model, we are also open to full remote in France. 💼 About the job As an Analytics Engineer, you will help strengthen the data foundations that support the whole organization. The central Data team serves a wide range of business teams, including Finance, Product, Marketing, Risk, and Operations. You will join a team of six Data Analysts, including several experienced colleagues, and work at the intersection of Data Engineering, Data Analytics, and business teams. You will transform raw data into trusted datasets that support reporting, analytics, operational processes, such as deciding which customer to call, and business decision-making. Our data foundations currently have different levels of maturity across business teams, and part of our ambition is to rebuild and standardize some of them. Your work will be particularly important in enabling more self-service and conversational analytics for our business teams, by making data easier to find, understand, trust, and use. A key part of your role will be improving the lineage and governance of our tables, following a medallion-inspired approach with clear layers. Data modeling and data quality Build and maintain reusable data models, macros, and semantic layers in dbt and BigQuery Develop staging, intermediate, and mart models following clear data modeling principles Implement data quality tests, freshness checks, and documentation Improve the lineage, ownership, and discoverability of our most important tables Strengthen our semantic layer and ensure that metric definitions are consistent Identify and remove duplicated, obsolete, or deprecated datasets and content Optimize queries and models for reliability, performance, and cost Central Data Analytics Community Build reusable data assets that can be leveraged by Data Analysts across different business domains Lead enablement by mentoring analysts and training them on dbt, Looker, governance, and metric definitions Partner on the data platform roadmap across GCP, BigQuery, Argo, dbt, and Looker Contribute to keeping our data stack clean, reliable, and easy to maintain Participate in code reviews and help define analytics engineering standards Discuss and validate data contracts with the rest of the Engineering team Collaborate with Data Analysts, Data Engineers, and business stakeholders to deliver trusted and actionable data 🧰 You will work with dbt, BigQuery, Looker, GCP, Argo, Git, Claude 🧩 About you To succeed in this job You have at least 2 years of experience in Analytics Engineering, Data Engineering, Data Analytics, or a similar role. You have practical experience with dbt, including models, tests, and documentation. You have a good understanding of data modeling concepts such as facts, dimensions, keys, and relationships. You have experience with Git and pull-request-based development, excellent communication skills, and the ability to collaborate with technical and business teams. You are fluent in English. And it will be nice if you also You are familiar with BigQuery, Looker, GCP, and Airflow or Argo. You have knowledge of Python. Don't meet every single requirement? At Alma, we believe great hires come from diverse paths. If this role excites you, we encourage you to apply. We value potential, curiosity and the ability to grow as much as experience. 🧘 What's in it for you If you join, you will be able to grow and impact on: The opportunity to shape analytics engineering practices within a growing and experienced central Data team Exposure to modern data tools including dbt, Argo, Claude, GCP A collaborative environment focused on improving data reliability, data literacy, and self-service analytics 🤑 Compensation & benefits Competitive salary based on 12 months Profit-sharing and employee savings plan Health insurance: 100% covered by Alma including family package Disability insurance: 100% covered by Alma Sport: partnerships with Gymlib and Classpass, or €30/month reimbursement for your sports activities Maternity/paternity leave: salary maintained at 100% during leave with no seniority requirement. Return to work at 4/5 schedule paid at 100% for 8 weeks. Sustainable Mobility Package (FMD): €544.80/year (excluding full-remote contracts) Meal vouchers: €10/day, 50% covered by Alma Mental health: free access to MindDay platform Paid time off: 25 days/year (+ additional paid leave granted for employees on executive contracts) Access to our Learning & Development Platform 2 weeks of full remote possible per year in summer 🎯 Interview Process Video call with a Talent Acquisition team member to understand your path, motivation & present you the role. Video call with your future manager to deep dive the role, the team, your profile and answer all your questions. Case study presentation with 2 - 3 team members (ideally in house) to assess your practical knowledge. 1 or 2 additional interviews customized to the role's level to further assess your skills and team fit. 🌍 Diversity & Inclusion At Alma, we believe that diversity fuels innovation and makes our community stronger. We are committed to building a workplace where every person feels seen, respected, and empowered to do their best work whatever their gender, background, ethnicity, age, sexual orientation, religion, disability or lived experience. As an equal opportunity employer, we welcome applicants from all walks of life, and all employment decisions are made based on qualifications, merit, and business needs. Find Jobs in France on Arbeitnow

Now is an amazing time to join Nozomi Networks as we build the future of OT and IoT cybersecurity. We defend some of the world's largest organizations and critical infrastructure in more than 68 countries and we're just getting started. Our AI-powered cybersecurity platform secures operational technology (OT) and Internet of Things (IoT) infrastructures for enterprises and government entities across energy, manufacturing, transportation, resources, and critical infrastructure. As we expand our product portfolio and global presence, our Engineering department is seeking a Full-stack Data Engineer with a focus on AI and NLP. You'll design, implement, and maintain highly available data pipelines that support our core products. In this role you will: Use available technologies to develop medium to large features while proactively learning new ones and reducing technical debt. Support colleagues to achieve overall team success and foster a collaborative environment. Embody Nozomi Networks' Cultural Pillars and our mission to protect what matters most with transparency and trust. Collaborate within an agile team that emphasizes automation and the creation of high-quality, well-designed software. Take ownership of user-facing features from inception to release and beyond. To be successful in this opportunity you will have: Strong attention to detail and excellent analytical skill. Excellent problem-solving capabilities with a solid understanding of algorithms, data structures, and concurrent programming. Proficiency in a dynamic programming language such as Python or Ruby. Knowledge of Machine Learning and NLP is a plus. Familiarity with Docker and prior frontend development experience, including knowledge of JavaScript and React, is highly desirable. B.S. or M.S. in Computer Science, Mathematics, Statistics or equivalent experience. Who we are and what we stand for: Nozomi Networks is the leader in OT and IoT Cybersecurity. We protect the world's critical infrastructure, industrial and government organizations from cyber threats by providing exceptional network visibility, threat detection and operational insight. We're always innovating and we hire the best at what they do to ensure our customers always have access to fast product enhancements, exceptional engineering support and rapid deployment across continents. If you like a challenge, and value integrity and customer success, we invite you to help Nozomi Networks build the future of OT and IoT cybersecurity. Diversity, Inclusion and Belonging are part of our core beliefs, at Nozomi Networks. Diversity of thought, background and culture broadens our knowledge of the world and helps us learn, grow, and gain new perspectives. What makes us all different is what makes us powerful. Our Global Benefits All of our benefits are customized to the country you are based in, naturally we want to get the best out of our Nozomiers, so we provide the best benefits packages, such as: Health & Wellness Financial Work-Life Balance Unparalleled Flexible Time-Off Need to know information Successful candidates will be subjected to background verification checks. Be cautious of unsolicited messages, fake email addresses, requests for money and unclear job descriptions. Report suspicious activity to authorities. Our open job opportunities and descriptions are posted on Nozomi Networks' career page. If in any doubt please apply for opportunities on our careers website here . If you would like to know more about our Privacy Policy, please click here . Any questions about how we process personal information, or if you would like help exercising your privacy rights please contact us using the email provided within the Privacy Policy. Find more English Speaking Jobs in Switzerland on Arbeitnow

Who We Are MAP | WPP Enterprise Solutions designs, builds, and operates the growth systems that competitive businesses rely on. In a world where Al is reshaping how companies drive growth, we lead clients in business transformation and marketing modernization, connecting strategy directly to execution. Our 12,000 experts in engineering and platforms, commerce, consulting, content transformation, CRM, and CX work within a unified global operating unit across 40+ markets. WPP Enterprise Solutions works alongside best-in-class partners including Adobe, AWS, Braze, Google, Microsoft, Salesforce, and Shopify, as well as innovators in AI, to deliver growth solutions tailored to the needs of our clients' businesses. About WPP MAP is part of WPP , the trusted growth partner for the world's leading brands. Powered by exceptional talent and our agentic marketing platform WPP Open, WPP unites cutting-edge media intelligence and data solutions, creativity, production, enterprise solutions and expert strategic counsel. Are you a Data Engineer passionate about building, supporting, and maintaining digital marketing solutions that deliver real value? Are you interested in working with the largest global brands and complex challenges in the media analytics space? Then you might be the Senior Data Engineer we're looking for! What will your day look like? As our new Data Engineer, you will become part of our growing Data Insights and Science team. Here, you will employ new technologies across multiple cloud platforms to help successful brands reach their next level in 1:1 retargeting, communication, and CRM. More specifically, your tasks include: Identify, collect, and integrate data from various sources by building high-quality data pipelines and data models for analytics and business intelligence (BI) purposes. Develop and optimize code to enable pipelines at minimum cost and ease of maintenance. Build monitoring procedures & tools to ensure solid ETL flows and data quality. Design processes and tools to correct ETL incidents. Collaborate with CRM developers, data scientists, data analysts, and product owners to ensure the supplied data supports the business initiatives. Consult our data analytics teams to ensure best practices on the technical use of data are followed. Design data architectures and collaborate in data migrations in cloud environments. Who are you going to work with? You will join a team of highly skilled Architects, Data Scientists, and Consultants who are passionate about unlocking insights from data through analytics. You will also get to work closely with experts from other Technology, Creative, and Client Teams. What do you bring to the table? As a person, you have a team player mindset and an open-minded attitude. You can communicate ideas and technical topics honestly and clearly – also to non-experts – while respecting the views of others on the team. You are eager to understand and find solutions, allowing you to quickly adapt to changing situations and come up with new ideas. At the same time, you solve problems in an analytical and pragmatic manner. Moreover, you have: Experience in data engineering, big data, business intelligence, or data science. Experience in Spark, Python, Scala, or similar. Excellent SQL skills enabling large-scale data transformation and analysis. A comprehensive understanding of cloud data warehousing, data pipelines and data transformation (extract, transform, and load) processes and supporting technologies such as Google Dataflow, Looker, DBT, EMR, CI/CD Pipelines, Airflow DAGs, and other analytics tools. Experience with cloud-based data infrastructures (Ideally GCP, but AWS or Azure would also suffice) Programming experience in Javascript, Python, or similar. Expertise in managing databases, including performance tuning, backup, and recovery. Solid knowledge of data quality management best practices, including data profiling, data cleansing, and data validation Knowledge of strengths and limitations of visualization tools (e.g. PowerBI, Tableau, Looker, etc.) in terms of data modeling in the visualization tools. Understanding of versioning control tools like GitHub to changes related to dbt models and transformations, ensuring that changes are tracked, documented, and reviewed by the appropriate stakeholders. Knowledge of applying data governance principles, policies, and practices that ensure data accuracy, consistency, and security Knowledge of Kubernetes would be an advantage Personal skills: Strong desire to contribute towards keeping data tidy and well-organized Ability to think critically, identify issues autonomously, and propose corrective actions. Build great relationships with your team and stakeholders A leader in personalized customer experiences VML MAP is a world-leading Centre of Excellence that helps businesses humanize the relationship between the brand and the customer through hyper personalization at scale, marketing automation and CRM. With the brain of a consultancy, the heart of an agency and the power of technology and data, we work with some of the world's most admired brands to help them on their transformation journey to becoming truly customer-centric. Together, we are 1000 + technology specialists, data scientists, strategic thinkers, consultants, operations experts, and creative minds from 55+ nationalities. A global network We are part of the global VML network that encompasses more than 30,000 employees across 150+ offices in 60+ markets, each contributing to a culture that values connection, belonging, and the power of differences. #LI-EMEA WPP (MAP/VML) is an equal opportunity employer and considers applicants for all positions without discrimination or regard to characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers. When you click "Apply now" below, your information is sent to MAP/VML. To learn more about how we process your personal data during when you apply for a role with us, on how you can update your information or have the information removed please read our Privacy policy . California residents should read our California Recruitment Privacy Notice . Find more English Speaking Jobs in United Kingdom on Arbeitnow