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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

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. Do you have strong data and analytical skills? Can you identify, build, and apply data models to support marketing insights? Would you like an exciting job with plenty of opportunity to grow? Then you might be the Senior Data Insights Consultant we are looking for! What will your day look like? As our new Senior Data Insights Consultant, you will join our growing Business Insights team. Here, you will provide your data skills and business knowledge to support our clients in making data-driven decisions to improve their digital communication. This entails designing and specifying data solutions and data integrations for various campaign platforms. More specifically, your tasks will include: Identifying and designing value-adding insights solutions, leveraging data to optimize communication strategies Interpreting business requests and clarifying data requirements Assisting and advising on data models and scoping of new projects Providing answers and insights to business-related questions via automated reporting solutions as well as ad-hoc data analyses Collaborating with highly skilled specialists including Account Managers, Architects, Developers, Creatives, Strategists, Data Scientists and Marketing Operation experts to service our clients coherently Promoting a data-driven agenda in a digital marketing context. Who are you going to work with? You will join a team of hands-on Data Analysts, Data Scientists, Consultants, and Data Engineers who are passionate about bringing value and knowledge from data. We are all about unlocking insights from data through analytics and making that insight applicable in 1:1 data-driven communication and CRM. Your work will always be firmly anchored in data in a cross-disciplinary setting, collaborating closely with highly enthusiastic experts. What do you bring to the table? As a person, you are outgoing and love being part of interdisciplinary projects and solutions. You are eager to learn and quick to understand the complexity of high-tech dialogues and solutions. Furthermore, you have the drive, enthusiasm and technical skills to take lead when facing the client in data and insights related matters. Through this, you strive to help and inspire the client to grow their business by combining data insights, performance analytics, and data engineering. It's an advantage, if you have agency experience and marketing domain knowledge, but it's not a requirement. In addition, you have: A minimum of 3-5 years of experience in a senior consultant/business liaison role related to data, BI, analytics or reporting solutions Hands-on experience working with SQL, databases, ETL and reporting Experience with report and dashboard development in Power BI/Tableau or similar tools Experience with database and data model design for business intelligence and analytics solutions is an advantage but not a requirement Experience with Google Insights/Google Analytics is an advantage Great communication skills in English. A leader in personalized customer experiences 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 WPP 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. 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

Aircall is a unicorn, AI-powered customer communications platform used by 22,000+ companies worldwide to drive revenue, resolve issues faster, and scale customer-facing teams. We're redefining customer communications by bringing voice, SMS, WhatsApp, and AI together into one seamless workspace. Our momentum comes from a simple idea: help teams work smarter, not harder. Aircall's AI Voice Agent automates routine calls, AI Assist streamlines post-call work, and AI Assist Pro delivers real-time guidance so people can do their best work. The result is higher revenue, faster resolutions, and teams that scale with confidence. Aircall is headquartered in Paris, our European HQ, with a strong North American presence anchored in Seattle, our North American HQ, and teams across Madrid, London, Berlin, San Francisco, New York City, Sydney, and Mexico City. We've built a product customers love and a business that's scaling quickly, backed by world-class investors and driven by rapid AI innovation across multiple product lines. At Aircall, you'll join a company in motion. We're ambitious, product-driven, and execution-focused, with visible impact, fast decisions, and real growth. How we work at Aircall: We're customer-obsessed, data-driven, and focused on delivering meaningful outcomes. We value ownership, continuous learning, and thoughtful speed. If you thrive in a collaborative, fast-moving environment where trust and impact matter, you'll feel at home here. We are looking for an engaged and passionate Senior Data Engineer to join our growing Engineering Team. In this role, you will be a key member of the team managing our analytics and event platform stack. As part of the Analytics & Data Platform team, you will build features for over 22,000 customers across the globe. Your work will unlock the value of data, empowering our customers to make informed decisions through real-time insights, monitoring, and comprehensive analytical reports. Your role at Aircall Have key responsibilities within the requirements analysis, scalable & low latency streaming platform solution design, architecture, and end-to-end delivery of key modules in order to provide near real-time data solutions for our product Analyze and translate business needs into data model & optimize for big data Identify slow queries and optimize for better performance Write clean scalable code using Scala / python / SQL and test and deploy applications and systems Solve our most challenging data problems, in near real-time, utilizing optimal data architectures, frameworks, query techniques, sourcing from structured and unstructured data sources. Be part of an engineering organization delivering high quality, secure, and scalable solutions to Aircall clients Involvement in product and platform performance optimization and live site monitoring Mentor team members through giving and receiving actionable feedback. Our tech. stack: AWS (Kinesis,Kafka, s3, DMS, Glue, EMR, EKS, Redshift, Spectrum), Apache Pinot, Apache Flink and Airflow. A continuous deployment process based on GitLab A little more about you: A Bachelor's degree in a technical field (eg. computer science or mathematics). 3+ years experience with near real-time analytics 5+ years experience with a modern programming language such as Scala, Python, Go, Typescript Experience of designing complex data processing pipeline Experience of data modeling (star schema, dimensional modeling etc) in AWS redshift Experience of query optimisation Experience of kafka is a plus Shipping and maintaining code in production You like sharing your ideas, and you're open-minded Why join us? 🚀 Key moment to join Aircall in term of growth and opportunities 💆‍♀️ Our people matter, work-life balance is important at Aircall 📚 Fast-learning environment, entrepreneurial and strong team spirit 🌍 45+ Nationalities: cosmopolite & multi-cultural mindset 💶 Competitive salary package & benefits (health coverage, lunch, commute, sports) DE&I Statement: At Aircall, we believe diversity, equity and inclusion, irrespective of origins, identity, background and orientations, are core to our Aircall journey. We promote active inclusion to foster a strong sense of belonging which is one of our main strengths as a business. We strive to assemble diverse people that can enrich and learn from each other . We pledge to make sure everyone not only has a seat at the table but is valued at the table -- providing equal opportunities to develop and thrive. We will constantly challenge ourselves to make sure that we live up to our ambitions around diversity, equity and inclusion, and keep this conversation open because we realize that we have work to do and much to learn. Want to know more about candidate privacy? Find our Candidate Privacy Notice here. Find Jobs in United Kingdom on Arbeitnow

LOCATION: King's Cross, London · PATTERN: Hybrid, with regular time in the lab The opportunity We're a stealth startup in AI and bio, building infrastructure for data generation. The team is small and elite, the problems are hard, and the foundations are being laid right now. You'd help write them from the first line, with real ownership and a direct line to the founders. This role builds our analysis from the start. Every result leaves an instrument as a trace or a vendor file, and it has to become a value someone can rely on, linked back to the sequence and sample it came from. That means fitting it properly, checking it against controls, catching the plate or reagent lot that drifted, and showing the evidence. Someone has to own that work. That is this role. About us AI for biology has a data problem. The data that matters most doesn't exist yet, so we're building the infrastructure to produce it, with quality and traceability built in from day one. We're in stealth and heads-down on execution. We'll share more about what we're building once you've spoken with the team. The role You will join the intelligence team and own the analysis of our assay data, and the data and ML infrastructure it runs on, from the point the data has been captured to the result that gets delivered. You will work most closely with the protein characterisation scientists who run the assays, and with the software team, who get data out of the instruments and own the platform it lives on. You build on top of that platform, and you own the quality of the analysis that runs on it. The role is part data engineer and part biostatistician, and all of the data is biological. Much of it is building the analysis and ML pipelines that run on our captured data, and the statistics inside them. The rest is presenting those results clearly, with the statistics that matter, such as uncertainty and QC, shown in a form they can understand. The value is in doing that carefully, in code that behaves the same way on every run. What you will own ● Analysis and ML pipelines that turn captured assay and sequence data into consistent, versioned datasets, linked to the sequence, sample, plate and well each result came from, built with the software team who own data capture. ● Data validation before any analysis runs, catching a mislabelled plate, a swapped sample or a missing well. ● Sequence-level bioinformatics, such as computing the properties of each protein sequence and checking constructs for problems before the DNA is ordered. ● Biostatistics for experimental data: experimental design, replicates and controls, error propagation, outlier handling, and assay acceptance criteria, such as CV across replicates, Z′ for plate assays, and reference standards staying within range. ● Curve fitting, including dose-response (EC50 and IC50) with sound normalisation and fits to SPR, BLI, HPLC and nanoDSF traces, with a measure of confidence on each fitted parameter and automated QC that sends doubtful fits to a person. ● Detection of plate, lot and batch effects across a dataset before it is delivered, and control charting of reference standards so drift shows up over weeks as well as within a run. ● The data visualisation that accompanies each delivered result, showing it with its uncertainty, QC and batch structure, so anyone can understand and check it without asking us. Who you are You have worked with messy experimental data and built things other people relied on. That might have been in a biotech or pharma team, an academic lab, a core facility, or a data-heavy field outside biology where you have since picked up the biology. Nobody arrives with every part of this role. If you are strong in most of it and quick to learn the rest, we want to hear from you. You are happy to get your hands dirty on the data. Much of the job is careful, repeated work on real instrument output, and we want someone who takes pride in doing that well. You write code other people can run, and you care how a result reads to the person receiving it. Seniority is not what we are screening for. We are open to someone early in their career and to someone with many years behind them. What we look for is depth and judgement on experimental data. We do not hire people into boxes. This role will stretch past its description, sometimes into the lab and sometimes into conversations beyond the team. Early hires here are expected to pick up what is in front of them. Must have ● Building and running production data and ML pipelines, ideally on scientific or lab data, including data modelling, validation and reproducible, versioned workflows. ● Handling the specifics of biological data: plate layouts, sample and reagent lot lineage, and protein and DNA construct sequences with the standard tools for working with them. ● Biostatistics for experimental data, including experimental design, replicates and controls, curve fitting, and separating batch effects from biology. ● Statistical process control and anomaly detection, so assay drift and instrument variability are caught early. ● Data visualisation for people outside your team, presenting results with their uncertainty and QC so they can understand and check them themselves. ● Fluency in Python and its scientific stack, including pandas, NumPy and SciPy, and in working with coding agents. ● SQL and relational schema design for samples, plates and results. ● Turning scientists' questions into requirements, and writing down the assumptions behind them. Nice to have ● Hands-on analysis of instrument output from a lab, especially trace-based data such as SPR or HPLC. ● R for statistical modelling, such as dose-response fitting or mixed models for plate and batch effects. ● Containers and cloud infrastructure, such as Docker, Kubernetes and AWS. ● Working with data from LIMS, electronic lab notebooks or lab data standards. ● Current protein language models and structure prediction, such as ESM C, Boltz-2, Chai, OpenFold3 or AlphaFold 3. Why this is unusual Most assay data analysis happens far from the lab, on files someone exported weeks earlier, with little record of how the experiment ran. Here you sit next to the lab, the conditions of every run are recorded, and your analysis is delivered alongside the data. The work also changes under you. The lab starts with people running the instruments and becomes automated over time, and the analysis you first build by hand becomes the checks that run on every result. Some people find that energising; some find it outside their lane. It's worth knowing in advance which one you are. How we work The role is based in London, at our lab and office in King's Cross. Time in person with the scientists matters for this work. The wider team is distributed and travels, so you will work with people who are not always in the building. We work in the open. Decisions are written down and work happens in Slack. The whole company meets once a week at the start of the week, and there is a regular offsite. Each person owns their area and makes the call inside it, and we will expect that of you early rather than late. UK benefits are 30 days of annual leave plus public holidays, a pension with a 10% employer contribution, and Bupa private health cover. More is added as the team grows. The team you will join You will report to the intelligence lead. You will also work closely with the founders and with the protein characterisation scientists whose data you will analyse. We are a small, elite team, weighted towards science and software. You will be the first person on the intelligence team whose focus is the analysis and ML infrastructure behind our results. Our process Our process has four stages. A short screening call about the role and the practicalities. A behavioural interview about how you work and what you value, run from the same template for every candidate. A technical stage built on a real analysis problem from our lab, not a puzzle. You spend a few hours writing up how you would approach it, using the tools you would use on the job, coding agents included, with a short note on the decisions you made. We care about judgement more than hours, so a focused answer beats an exhaustive one. We then go through it with you in person. Then references, aimed at whatever we still want to understand. If you are not sure whether you are a fit, apply anyway. We would rather read it and decide. We are an equal opportunity employer. We make hiring decisions on merit, scope-fit, and the strength of the working relationship we expect to build with each hire. Applications welcome from candidates of any background. Find Jobs in United Kingdom on Arbeitnow

Join our vibrant fintech startup, Benjamin, backed by top-tier venture capitalists Play Ventures & F4 Fund. We're on the lookout for an experienced and forward-thinking Senior Machine Learning Engineer to our team! At Benjamin, we're passionate about rewarding everyday actions through our MoMo's (Money Moments). Benjamin is a new cash-rewards platform for consumers, merchants and gamers to earn cash, called Benjamin Money Moments, by completing daily tasks, playing casual games, viewing content and ads, and making everyday card purchases with cash back. What you'll do: Own the full ML lifecycle: EDA, problem framing, prototyping, productionizing, and operating models in production. Design, build and deploy ML models that power core product and business decisions. Build and run training, retraining and evaluation pipelines, including experiment tracking and model versioning with MLflow. Set up monitoring for model performance, data quality and drift, and act on what it shows. Write well-tested, maintainable Python and ship through CI/CD on AWS. Partner with data engineering on reliable, efficient data pipelines and SQL-based feature work. Raise the engineering bar through code reviews, design discussions and mentoring other engineers and data scientists. Qualifications 5+ years of hands-on Python software development, with strong engineering practices: testing, code review, CI/CD, Git, and working with AWS and SQL. 3+ years of hands-on experience with DS/ML tools and frameworks such as PyTorch, MLflow, NumPy, pandas and scikit-learn. A track record of building, deploying and maintaining ML models in production, not only in notebooks. Comfort owning the whole ML development cycle: EDA, prototyping, productionizing, and building and operating (re)training and evaluation pipelines. Clear communication with technical and non-technical colleagues, and the judgment to balance model quality against delivery speed. Ideal Candidate: Experience building recommender systems. Experience in the AdTech industry. Experience building deep neural network (DNN) models. Experience with GCP and Snowflake. Why Join Us? Competitive pay : We offer great salaries and bonuses. Thriving in Hyper-Growth: Immerse yourself in the dynamic environment of a hyper-growth startup, where you'll encounter daily challenges and avenues for professional advancement. Cutting-Edge Collaboration: Engage with innovative technology and join a fast-paced team known for its forward-thinking approach and commitment to innovation. Positive Workplace Culture: Experience a professional yet enjoyable atmosphere, where hard work is valued alongside a sense of humor and camaraderie, fostering a fulfilling work environment. About Benjamin Benjamin is reshaping the future of cash rewards with a simple idea: everyday actions should earn you cash. Whether you're making a purchase, playing a mobile game, or watching an ad, you get rewarded with Benjamin Money Moments. It's that simple. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Find Jobs in Germany on Arbeitnow