Find Your Dream Career

Chez SFEIR, l'IA est notre accélérateur dans tous nos métiers — du Cloud AI-Ready aux plateformes Data modernes, en passant par le développement augmenté. SFEIR en 30 secondes 950 consultants passionnés par la tech et augmentés par l'IA 8 agences en France, au Luxembourg et à Bruxelles Partenaire Anthropic Select (+ 100 certifiés) 15 ans de partenariat Google Cloud + AWS, Scaleway, S3NS, Databricks, Snowflake, Confluent, DBT +90 clients actifs et +5 000 personnes formées par an via SFEIR Institute 140 certifiés Google Cloud, 30 Google Authorized Trainers, 7 Google Developer Experts Ta mission Concevoir et développer des pipelines de données robustes et scalables sur GCP Implémenter des solutions ETL/ELT avec dbt sur BigQuery, en mode ingénierie logicielle : versionné, testé, revu Orchestrer des workflows data avec Cloud Composer Mettre en place le monitoring, l'observabilité et la Data Quality des plateformes data Participer à la modernisation des architectures data de nos clients — et à l'intégration des services GenAI (Vertex AI) dans les pipelines de production Ton terrain de jeu Stack : Google Cloud (BigQuery, Cloud Storage, Dataflow, Cloud Composer), Python, SQL, dbt, Terraform SFEIR AI : un parcours dédié pour maîtriser l'IA générative et le coding agentique — écrire du dbt et du SQL complexe assisté par IA, ça se travaille Des sujets GenAI concrets : brancher Vertex AI et des LLMs sur des pipelines de production. Ce qu'on cherche chez toi 3 ans minimum d'expérience en tant que Data Engineer Une expérience professionnelle confirmée sur Google Cloud Un vrai niveau en Python et SQL — et l'envie d'écrire de la data comme on écrit du code Tu es passionné(e) par la Data et l'IA : tu fais de la veille, tu as des projets perso Ton évolution Un Engineering Manager dédié qui t'accompagne Une trajectoire claire : Lead Data Engineer → Data Architect Formation continue avec accès à Google Cloud Skills Boost et aux certifications Google Cloud Next, Data Cloud Summit : tu y vas, et parfois tu y parles SFEIR collecte vos données à caractère personnel afin de traiter votre candidature. Pour en savoir plus sur la gestion de vos données personnelles et pour exercer vos droits, nous vous invitons à consulter notre Politique de confidentialité . Find Jobs in France on Arbeitnow

Dein Team Das Data & Automation Team ist Teil der OMR Tech Abteilung und fungiert als Center of Excellence für die Daten- und Prozessoptimierung bei OMR. Wir schaffen die Basis für fundierte, datengetriebene Entscheidungen und reibungslose Abläufe in allen Business Units (Festival, Podstars, Reviews, Education, Jobs). Wir verstehen uns als starker Business Partner: Wir bauen die Brücken zwischen komplexen Datenstrukturen, smarter Automatisierung und echtem Business Impact. Bock auf maximale Freiheiten in einem unternehmerischen Umfeld? Du liebst es, Datenpipelines zu bauen, die einfach laufen, und Infrastruktur, auf die sich alle verlassen können? Dann verstärke unser Team und übernimm die Verantwortung für das technische Fundament unserer Datenplattform. Bei uns betreibst du nicht nur Pipelines: Du baust die Dateninfrastruktur, auf der der gesamte OMR-Kosmos seine Entscheidungen trifft! Wo du wirklich was bewegst Du verantwortest unsere ELT-Pipeline-Infrastruktur, entwickelst, betreibst und überwachst unsere Airflow-DAGs auf Cloud Composer und managst unsere Connector-Landschaft (Airbyte, Fivetran) Du baust eigene Airflow-Operatoren für Datenquellen ohne Standard-Connector und bindest neue Quellen an unser Data Warehouse an (aktuell über 28 externe Systeme) Du betreibst und optimierst unsere BigQuery-Infrastruktur von Performance-Tuning über Partitioning und Clustering, Monitoring der Query-Kosten und sauberes Schema-Management in der Raw Zone Du behandelst unsere Datenpipelines wie Produktivsysteme und machst sie standardmäßig beobachtbar: Du konzipierst Monitoring und Alerting rund um Pipeline-Health, Source Freshness, Datenqualität und operative SLAs – so, dass wir wissen, was kaputt ist, warum und wen es betrifft, bevor die Business Units es merken Du entwickelst unsere CI/CD-Pipelines (GitHub Actions) für Ingestion und dbt weiter und bringst dich aktiv in Code Reviews ein Du gestaltest unseren Stack aktiv mit: Du legst das infrastrukturelle Fundament für unsere strategischen Datenprojekte, etwa den Aufbau unserer zentralen Audience-Datenplattform, und triffst wichtige Entscheidungen zu Architektur und Tooling mit Du bringst AI in die Datenplattform: Von AI-gestütztem Troubleshooting und automatisierter Pipeline-Diagnose über intelligente Data-Quality-Checks bis zu Dokumentation, operativen Workflows und Developer Tooling experimentierst du mit Agents und Automatisierung, um manuelle Arbeit zu reduzieren. Du kannst zu unserem unternehmensweiten AI-Agenten beitragen und entscheidest mit, wo AI echten Mehrwert schafft – und wo klassisches Engineering die bessere Lösung bleibt Was dich auszeichnet Du hast mehrjährige Berufserfahrung im Data Engineering und bereits ELT-/ETL-Pipelines und Daten-Orchestrierung in einem produktiven Umfeld verantwortet Du bist sicher in Python und SQL und hast fundierte Erfahrung mit Airflow oder Cloud Composer Du kennst dich mit BigQuery aus (Performance, Kosten, Berechtigungen) und bringst GCP-Grundlagen mit (IAM, Cloud Storage, idealerweise Workload Identity Federation) Idealerweise hast du bereits mit dbt, Fivetran oder Airbyte gearbeitet und kennst Tools wie Docker, Terraform oder Cloud Monitoring Du handelst eigeninitiativ, arbeitest strukturiert und hast Lust, die volle Verantwortung für eine geschäftskritische Infrastruktur zu übernehmen Du bringst verhandlungssichere Deutschkenntnisse und gute Englischkenntnisse in Wort und Schrift mit Was für dich drin ist Die Möglichkeit, dich in einem der spannendsten deutschen Medienunternehmen einzubringen Ein Wohlfühl-Office mit höhenverstellbaren Tischen, Massage-Sesseln, Mini-Gym, Sommer-Deck uvm. direkt im Hamburger Schanzenviertel Von unserem Campus-Team frisch zubereitete Leckereien sowie großes Müsli- und Getränkeangebot Firmenfitness über EGYM Wellpass, Mental-Health-Angebote von nilo und betriebliche Altersvorsorge Flexible Arbeitszeiten und heycare für die Betreuung von Kids, Vierbeiner oder die Pflege von Angehörigen und mehr Vereinbarkeit im Alltag Fahrrad-Leasing, Zuschuss zur HVV-Proficard, JobAuto und Mitarbeiterrabatte auf Partnerprodukte Zugang zu allen OMR-Weiterbildungsformaten und eine steile Lernkurve in digitalen Themenfeldern Die Gelegenheit, dich über den OMR Kosmos mit den Player*innen der Digitalszene zu vernetzen Wenn wir dein Interesse geweckt haben und du zukünftig morgens mit guter Laune ins Büro fahren willst, freut sich Elisabeth Barheine auf deine Bewerbung :-) OMR setzt sich für Chancengleichheit, Vielfalt und Integration am Arbeitsplatz ein. Wir unterbinden Diskriminierung und Belästigung jeder Art aufgrund von Geschlecht, Hautfarbe, Religion, sexueller Orientierung, Herkunft, Behinderung, geschlechtlicher Identität oder anderen geschützten Merkmalen. Come and be as you are. Find Jobs in Germany on Arbeitnow

Chez SFEIR, l'IA est notre accélérateur dans tous nos métiers — du Cloud AI-Ready aux plateformes Data modernes, en passant par le développement augmenté. SFEIR en 30 secondes 950 consultants passionnés par la tech et augmentés par l'IA 8 agences en France, au Luxembourg et à Bruxelles Partenaire Anthropic Select (+ 100 certifiés) 15 ans de partenariat Google Cloud + AWS, Scaleway, S3NS, Databricks, Snowflake, Confluent, DBT +90 clients actifs et +5 000 personnes formées par an via SFEIR Institute 140 certifiés Google Cloud, 30 Google Authorized Trainers, 7 Google Developer Experts Ta mission Concevoir des architectures data de bout en bout (Lakehouse, Mesh) robustes, sécurisées et scalables sur Google Cloud Piloter l'implémentation de solutions ETL/ELT complexes avec dbt sur BigQuery, et orchestrer les workflows via Cloud Composer Définir les bonnes pratiques de développement (CI/CD, tests, Data Quality) et assurer le monitoring / l'observabilité des plateformes Faire grandir les profils plus juniors : revues de code, pair-programming, montée en compétences — et être le référent technique auprès des clients Moderniser les stacks de nos clients et intégrer les services GenAI (Vertex AI) dans les pipelines de production Ton terrain de jeu Stack : Google Cloud (BigQuery, Cloud Storage, Dataflow, Cloud Composer), Python, SQL, dbt, Terraform, Vertex AI SFEIR AI : un parcours dédié pour maîtriser l'IA générative et le coding agentique — et pour l'enseigner à ton équipe Ce qu'on cherche chez toi 5 ans minimum d'expérience en tant que Data Engineer Une expérience professionnelle confirmée sur Google Cloud Tu sais prendre du recul sur une architecture et justifier tes choix technologiques face à des enjeux business complexes Tu as l'âme d'un mentor : tu aimes transmettre, faire des revues de code qui apprennent quelque chose Ton évolution Un Engineering Manager dédié qui t'accompagne Une trajectoire au choix : Data Architect / Senior Staff Engineer → Senior Principal Engineer ou Engineering Manager Formation continue avec accès à Google Cloud Skills Boost et aux certifications Le programme AI Champions : 6 mois pour rejoindre notre cercle d'ambassadeurs IA Google Cloud Next, Data Cloud Summit : tu y vas, et parfois tu y parles SFEIR collecte vos données à caractère personnel afin de traiter votre candidature. Pour en savoir plus sur la gestion de vos données personnelles et pour exercer vos droits, nous vous invitons à consulter notre Politique de confidentialité . Find more English Speaking Jobs in France on Arbeitnow

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

ABOUT FANDUEL FanDuel Group ("FanDuel") is an innovative sports-tech entertainment company that is changing the way consumers engage with their favorite sports, teams, and leagues. The premier gaming destination in the United States, FanDuel consists of a portfolio of leading brands across gaming, sports betting, daily fantasy sports, advance-deposit wagering, and TV/media. FanDuel has a presence across all 50 states with approximately 17 million customers and 28 retail locations. FanDuel is based in New York with offices in New Jersey, Georgia, California, Oregon, Canada and Scotland. Its networks FanDuel TV and FanDuel+ are broadly distributed on linear cable television and through its relationships with leading direct-to-consumer over-the-top platforms. FanDuel Group is a subsidiary of Flutter Entertainment plc, the world's largest sports betting and gaming operator with a portfolio of globally recognized brands and traded on the New York Stock Exchange (NYSE: FLUT). THE ROSTER At FanDuel, we give fans a new and innovative way to interact with their favorite games, sports, and teams. We're dedicated to building a winning team, and we pride ourselves on being able to make every moment mean more, especially when it comes to your career. So, what does "winning" look like at FanDuel? It's recognition for your hard-earned results, a culture that brings out your best work—and a roster full of talented coworkers. Make no mistake, we are here to win, but we believe in winning right. That means we'll never compromise when it comes to looking out for our teammates. From creatives professionals to cutting edge technology innovators, FanDuel offers a wide range of career opportunities, best in class benefits, and the tools to explore and grow into your best selves. At FanDuel, our principle of "We Are One Team" runs through all our offices across the globe, and you can expect to be a part of an exciting company with many opportunities to grow and be successful. THE POSITION Our roster has an opening with your name on it As a Senior Engineering Manager, you'll lead teams with blend of consultants and employees with diverse data engineer background who build scalable data pipelines to power business intelligence, analytics, fraud detection, and operational reporting across FanDuel. You'll partner with Data Architects, Product Managers, Analytics, and Engineering teams to define technical strategy and drive platform governance. This role demands both organizational leadership and technical depth; you'll build high-performing teams, own platform reliability and cost, and enable data-driven decision-making through pragmatic problem-solving and operational excellence. You should have a passion for imparting knowledge and a proven ability to grow a team and lead it to success. You will show a pragmatic approach to problem-solving; your experience should be built on a solid foundation of engineering development and operational support, and you should be able to show a proven background in coaching/ people management. THE GAME PLAN Everyone on our team has a part to play Platform Leadership: Lead design build, and continuous improvement of scalable data pipelines, Lakehouse architectures, and data products on Databricks and AWS infrastructure. Maintain engineering standards for performance, reliability, and cost. Contribute hands-on to architecture reviews, code reviews, and troubleshooting. Team Management: Manage up to 9 data engineers and 5 consultants—hiring, onboarding, performance reviews, and career development. Build a high-trust culture grounded in psychological safety and continuous learning. Delivery & Execution: Plan and prioritize the team's work to deliver on-time, on-quality. Balance discovery, platform investment, and run-the-business work. Know which features are essential versus deferrable. Operational Excellence: Own production health, SLAs, and incident response. Identify and resolve risks, blockers, and cross-team dependencies proactively. Architecture & Strategy: Resolve data architecture gaps. Align decisions across teams and drive platform coherence. Simplify, optimize, or extend solutions as needed. THE STATS What we're looking for in our next teammate 10+ years of experience in Data Engineering, Data Platform, or related data roles. 3+ years leading engineering teams, including coaching, performance management, and organizational development. Deep expertise building scalable data platforms and production-grade data pipelines, and strong experience with Python, Scala, or similar programming languages. Experience working with modern cloud data platforms such as Databricks (preferred), Delta Lake, Snowflake, or BigQuery. Proven experience driving complex cross-functional initiatives from concept through production. Experience leading technical architecture discussions and engineering design reviews. Experience in setting up self-healing and resilient data, and setting up monitoring and alerting using Monte Carlo, PagerDuty and DataDog. Experience managing and delivering multiple projects at the same time is necessary. Excellent people management, communication, presentation and facilitation skills are necessary. PLAYER BENEFITS We treat our team right From our many opportunities for professional development to our generous insurance and paid leave policies, we're committed to making sure our employees get as much out of FanDuel as we ask them to give. Competitive compensation is just the beginning. As part of our team, you can expect: An exciting and fun environment committed to driving real growth Opportunities to build really cool products that fans love Mentorship and professional development resources to help you refine your game Be well, save well and live well - with FanDuel Total Rewards your benefits are one highlight reel after another FanDuel is an equal opportunities employer, and we believe, as one of our principal states, "We Are One Team!" We are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, Veteran status, or another other characteristic protected by state, local or federal law. We believe FanDuel is strongest and best able to compete if all employees feel valued, respected, and included. We want our team to include diverse individuals because diversity of thought, diversity of perspectives, and diversity of experiences leads to better performance. Having a diverse and inclusive workforce is a core value that we believe makes FanDuel stronger and more competitive as One Team! Find Jobs in United Kingdom on Arbeitnow

Are you passionate about using data to shape products played by millions of people around the world? Do you enjoy uncovering player insights, designing experiments, and influencing product decisions with data? If so, we'd love to meet you! We're looking for a Senior Product Analyst to help shape the future of Stumble Guys , one of the world's leading mobile games. You'll join a team of Product Analysts and Analytics Engineers, partnering closely with Product Managers, Game Designers, Data Engineers, and Developers to turn player behavior into actionable insights. From event instrumentation and data modeling to A/B testing and deep-dive analyses, you'll help answer our most challenging product questions and directly influence the future of the game. If you're excited about working on a game played by millions of daily active users (just ask your younger cousins - they're probably already playing!), we'd love to hear from you! We also work with a modern analytics stack including Google Cloud Platform, BigQuery, Looker and Hex. What You Will Do Analyze large and complex datasets to understand the behavior of millions of players and answer strategic product questions. Partner closely with Product, Game Design, Engineering, Marketing, and Leadership to drive data-informed decisions. Design, analyze, and communicate A/B tests to evaluate new features and optimize player experiences. Develop frameworks, dashboards, and analytical tools that empower teams to make better product decisions. Generate actionable insights that improve player engagement, retention, monetization, and overall game performance. Define and validate event tracking to ensure high-quality product analytics. Present findings and recommendations to cross-functional stakeholders and leadership What We're Looking For Significant experience working as a Product Analyst , ideally in gaming, mobile apps, or other consumer digital products. Strong SQL skills and experience working with large-scale datasets. Experience with experimentation (A/B testing), product analytics, and statistical analysis. Intellectual curiosity with a passion for solving complex business problems through data. Excellent communication and storytelling skills—you can translate complex analyses into clear recommendations. Python or R experience is a plus. Fluent English, written and spoken. Please ensure that the résumé/CV you attach is written in English. About Scopely Scopely is a leading video game and global interactive entertainment company, home to many of the world's most beloved and enduring experiences, including two of the most successful mobile games of all-time "MONOPOLY GO!" and "Pokémon GO," along with "Stumble Guys," "Star Trek™ Fleet Command," "MARVEL Strike Force," "WWE Champions," the Scrabble® franchise, "Yahtzee® With Buddies," and many others. Across mobile, web, PC, and console, Scopely creates, develops, publishes, and live-operates one of the most diversified and award-winning portfolios in the games industry — bringing hundreds of millions of players together through a shared love of play. Founded in 2011, Scopely is powered by its exceptional team — including thousands of world-class gamemakers around the globe, a distinctive tenet-driven culture, and its proprietary technology platform, Playgami. Together, these strengths have fueled Scopely's position as the #1 mobile games company in the U.S. and #2 globally, generating more than $10 billion in lifetime revenue. Whether building global sensations like "MONOPOLY GO!" from the ground up, or expanding through strategic acquisitions, including the FoxNext, GSN, and Scopely Explore games businesses — Scopely consistently delivers experiences players love today and return to for years to come. Recognized multiple times as one of the "100 Most Influential Companies in the World" by TIME magazine and one of Fast Company's "World's Most Innovative Companies" and "Best Workplaces for Innovators," Scopely believes that video games can be a force for good — creating meaningful connections, vibrant communities, and making life better through play. Scopely has global operations and partners across four continents in more than a dozen countries worldwide. For more information, visit: https://www.scopely.com/ . Notice to Candidates: Scopely will never request payment or financial information during the application or hiring process. Please apply only through our official website and verify that all Talent Partner communications come from an email address ending in @ scopely.com . Should you have any questions or encounter any fraudulent requests/emails/websites, please immediately contact ----- Our job applicant privacy policies are available here: California Privacy Notice and EEA/UK Privacy Notice . Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law. Find Jobs in United Kingdom on Arbeitnow

The Role.. We're looking for a hands-on, generalist data scientist to own ML across all parts of our broad business, including Membership, Food & Beverage, Operations, Digital and Events. As Lead Data Scientist, you'll be the go-to expert for turning our vast datasets into predictive and prescriptive products that change how we run our Houses and serve our members, from predicting member churn and personalising what members see, to forecasting demand so our Houses are staffed well. You'll take models from idea to production and keep them performing, always looking for new ways to create value for our members and the business. You'll also raise the bar on how the wider analytics team measures impact, so decisions across the business rest on sound evidence. Key responsibilities.. Machine learning products Own the design, build and continuous improvement of Soho House's ML portfolio, including member churn and segmentations, personalisation and recommendation engines (e.g. events), and demand forecasting for labour and operational planning Frame business problems with stakeholders, pick the right approach (which may not always be ML), and set clear success metrics tied to commercial outcomes Own the full model lifecycle: scoping, development, validation, deployment, monitoring, scheduled recalibration and retirement ML Ops and production Set up ML Ops standards: version control, model registry, documentation and governance Work with Data Engineering to put models into production on our stack (GCP, Snowflake, Airflow), with reliable scoring pipelines and outputs that downstream tools and teams can use Build monitoring and observability for model accuracy in production (tracked against agreed thresholds and baselines), data drift and business impact, with clear alerts and review cycles Advanced analytics and measurement Set the standard for advanced measurement across the wider analytics team, educating analysts and acting as their go-to expert for things like experimentation and causal inference, and finding pragmatic, robust alternatives when the ideal method isn't possible (e.g. where randomisation can't be done) Create reusable frameworks, templates and guidance so analysts can run sound tests and impact measurement on their own Coach and upskill analysts, supporting the wider goal of building data literacy across the business Stakeholders and delivery Partner with Membership, Marketing/CRM, Digital, Operations and Finance to prioritise a roadmap of data science work by value Explain complex methods and uncertainty clearly to non-technical audiences, including senior leadership Direct and quality-assure work from offshore data science resources when workload requires: scope tasks, review code and models, and keep standards consistent Required skills and experience Essential Significant hands-on data science experience (typically 5+ years) across a broad range of problem types, such as classification and propensity, recommendation, time-series forecasting, clustering and segmentation A track record of putting models into production and owning them afterwards, not just building prototypes Strong Python (our preferred language) and its data science ecosystem A deep grounding in statistics, experimentation and causal inference (A/B testing, power analysis, variance reduction, difference-in-differences, synthetic control or similar) Excellent stakeholder skills: can turn a vague business question into a well-framed problem and explain results in plain English Comfortable as a senior hands-on IC who can also set direction for others and review their work without line-managing them Desirable Experience with a modern cloud data stack, ideally Snowflake (Snowpark, Cortex) and dbt Practical ML Ops experience, e.g. MLflow or similar, Git, CI/CD, containerisation, automated retraining and monitoring Experience with LLM and GenAI tools, both for your own development workflow and for data enrichment (e.g. classifying or extracting structure from unstructured text) Experience in hospitality, membership, subscription, retail or consumer businesses Experience coaching analysts or building a measurement or experimentation culture Benefits.. Soho House offers competitive compensation packages that feature global benefits and perks. Whether you're seeking entry-level employment or a new opportunity to expand your profession, we offer training to develop the technical and managerial skills necessary to grow your career. Discounts at Soho House globally, as well as Soho Home and Cowshed Annual Every House Membership Enhanced Pension Scheme Private Health and Dental Care Cycle to Work Scheme/Season Ticket Loan In conjunction with Soho Impact, take 3 days paid a year to support a charity of your choice. Cookhouse & House Tonic: Our Cookhouse & House Tonic programmes offer unique food and drink trainings, events and opportunities to inspire and educate. Team Events: From fitness sessions to cinema screenings and art classes, each month we hold a series of fun events which you can sign up to. Find Jobs in United Kingdom on Arbeitnow

About us At Trainline, our purpose is to empower greener travel choices, connecting people and places. Trainline enables millions of travellers to find and book the best value tickets across carriers, fares, and journey options through our highly rated mobile app, website, and B2B partner channels. Great journeys start with Trainline 🚄 We're Europe's leading independent rail platform, helping millions of travellers find and book the best-value rail and coach journeys across our app, website and partner channels. Our job is to make the green travel choice the best choice. By building a better train travel experience, we help more people choose rail - creating a positive impact for customers, our business and the planet. We're a team of more than 1,000 Trainliners from over 50 nationalities, working across London, Paris, Barcelona, Milan, Edinburgh and Madrid. Now is a brilliant time to join us and help shape the future of travel. Introducing Data Science & Analytics at Trainline👋 Data Science & Analytics (DSA) is central to how we build products, delight our customers and grow our business. Our Data Scientists are embedded alongside Data Analysts in cross-functional teams which exist across product and marketing. Data Scientists have a high degree of autonomy and are empowered to drive the success of their teams, using all data and techniques at their disposal. As a Data Scientist, you will be involved in driving insights and strategy for the product team, creating and measuring value through experimentation, creating focus through metrics and goals, and building deep learning about what is most impactful for each team. You will be able to determine the underlying dynamics of our complex ecosystem and use this to deliver insights and strategic direction, but your main focus will be a complete obsession with driving impact within the product team, drawing on whatever analytical and statistical techniques that will unlock the most benefits. Data Science and Analytics at Trainline exists within the wider data organisation as part of the tech org, and is complemented by data engineering teams, data platform teams, and ML teams for when deep ML and AI techniques are required. Our autonomous model creates a huge opportunity for personal influence and impact – as the data scientist on the team you will be actively driving innovation on the team by contributing to strategy, execution and continuous learning. As a Senior Data Scientist at Trainline, you will... 🚄 As a Senior Data Scientist, you will be embedded within Trainline Partner Solutions (TPS), which is the B2B arm of Trainline that provides seamless rail travel solutions for businesses, travel retailers, and rail carriers across the UK and Europe. TPS also works to develop new technologies / products and is at the forefront of the rail industry, presenting opportunities to launch new products, work to develop product market fit and go deep with techniques like geospatial and graph analyses. With a team of over a hundred technologists delivering daily data-driven product releases and platform updates, TPS prioritises scalability, security and above all else innovation. As sustainability becomes a key focus in travel, TPS is dedicated to making rail a more accessible and efficient choice for businesses and travellers alike. As a Senior Data Scientist, you will be responsible for influencing product and business outcomes, have the autonomy to make things happen and must obsess about having business impact. More specifically you will: Develop deep understanding of our product experiences and opportunities for growth. Actively contribute to roadmap and goals for the product team. Drive regular cross functional team reviews to measure progress toward goals. Discover and articulate new product opportunities helping shape the team's direction. Support product experiments, launches, growth through data-driven decision making while keeping the team accountable and impactful Define focus through metrics to enable a broad spectrum of learning from experimentation/release cycles. We'd love to hear from you if you have... 🔍 5+ years commercial experience using data science and analytics to drive business decisions. Ability to distil and communicate results of complex analysis clearly and effectively to all levels including senior management. Experience of product engagement evaluation and measurement of success. For example, running A/B tests to evaluate product effectiveness or using front-end data to quantify the effectiveness of new features and how it changes user engagement. Ability to navigate data sets of varying complexity/ambiguity and conduct analysis to derive clear insights and actionable results. Experience using AI to responsibly accelerate your coding for analysis, as well as basic automation of day-to-day work processes. Strong PowerPoint and presentation/communication skills. Strong data visualisation skills using tools like Tableau, Spotfire, Power BI etc. Expertise in predictive modelling, including both parametric (e.g. logit/probit) and non-parametric (e.g. random forest, neural net) techniques as well as wider ML techniques like clustering / random forest (desirable). Tech Stack: SQL, Python, R, Tableau, AWS Athena + More! More information: Enjoy fantastic perks like private healthcare & dental insurance, a generous work from abroad policy, 2-for-1 share purchase plans, an EV Scheme to further reduce carbon emissions, extra festive time off, and excellent family-friendly benefits. We prioritise career growth with clear career paths, transparent pay bands, personal learning budgets, and regular learning days. Jump on board and supercharge your career from day one! We're operating a hybrid model and ask that Trainliners work from the office a minimum of 60% of their time over a 12-week period. We also have a 28-day Work from Abroad policy. Our values represent the things that matter most to us and what we live and breathe everyday, in everything we do: 💭 Think Big - We're building the future of rail ✔️ Own It - We focus on every customer, partner and journey 🤝 Travel Together - We're one team ♻️ Do Good - We make a positive impact We know that having a diverse team makes us better and helps us succeed. And we mean all forms of diversity - gender, ethnicity, sexuality, disability, nationality and diversity of thought. That's why we're committed to creating inclusive places to work, where everyone belongs and differences are valued and celebrated. Interested in finding out more about what it's like to work at Trainline? Why not check us out on LinkedIn , Instagram and Glassdoor ! Find more English Speaking Jobs in United Kingdom on Arbeitnow

About Mirakl: Founded in 2012, Mirakl has been at the forefront of marketplace innovation, empowering every business to compete in the platform economy. Today, Mirakl's operating system combines an enterprise marketplace solution (Mirakl Platform) that enables retailers and B2B organizations to launch, scale, and operate marketplaces and dropship, AI-powered multichannel selling (Mirakl Connect), retail media (Mirakl Ads) and an agentic commerce infrastructure (Mirakl Nexus). With dual headquarters in Boston and Paris, Mirakl helps a global ecosystem of 450+ marketplaces (B2C and B2B) and a network of over 100k third-party marketplace sellers. Brands like Macy's, Decathlon, Carrefour, Asos, and Airbus Helicopters use Mirakl to grow their businesses in new and remarkable ways. For more information: www.mirakl.com . Mirakl in Numbers: 🗓️ Founded in 2012 | Member of French Tech Next40 👥 750+ employees in 9 offices worldwide: Paris, Barcelona, Bordeaux, Boston, London, Munich, New York, Sydney, Tokyo 🇫🇷 350+ Mirakl Tech teams members mainly based in France ⚙️ 5 Saas Solutions Our Values: Working at Mirakl means accelerating your career alongside ambitious, passionate, and supportive colleagues. We're proud of the diversity of backgrounds, perspectives, and experiences that make our teams unique. Our 5 values guide how we collaborate: 💡 Work Hard Together: Teamwork and collaboration are the foundation of our success 🏆 Get Things Done: We prioritize action and efficiency for impactful results 🚀 Go Above & Beyond: We tackle challenges proactively and always aim for excellence 🎓 Succeed Through Expertise: Knowledge sharing and continuous learning are core to our culture 🤝 Satisfy & Empower Clients: We're committed to our clients' success Data Science Intern - January 2027 1. The Team You'll Join You'll be part of our Data Science team, a group of around 70 data professionals working at the heart of Mirakl's platform. Together, you'll be making the most of rich and diverse marketplace data to grow customer revenue, optimize operations, and ensure the safety of users and transactions. 2. Your Impact Analyze and prepare data to ensure quality and relevance for algorithm development, following best practices for exploration and transformation Prototype and iterate on algorithms , testing and refining ideas with the support of your mentor and team Collaborate with Data Engineers to bring your solutions from experimentation to real-world production deployment Build dashboards to showcase the relevance of your work and monitor performance in production Present your findings weekly with the team, contributing to brainstorming sessions and tech watch initiatives 3. What You'll Bring to the Role Experience: Currently enrolled in the final year of a Master's (Bac+5) in Computer Science at an engineering school or university Familiarity with data preparation techniques and feature engineering Understanding of statistics, machine learning, and deep learning algorithms Interest in the industrialization and scaling of data science models beyond experimental work Skills: Cloud environment awareness (AWS, Google Cloud, or MS Azure) Strong communication and ability to work collaboratively in cross-functional teams Curiosity, autonomy, and a proactive approach to problem-solving 4. Tech Stack Python & its data science ecosystem (pandas,sklearn), SQL for data querying and manipulation, TensorFlow, Keras, PyTorch, Databricks, Spark, AWS (Amazon Redshift, S3), Airflow, Delta Lake, streamlit, pydantic 5. Languages French – Fluent required English – Professional level required 6. Compensation, Perks & Benefits Internship stipend: Based on your Master's status Perks & Benefits: A workplace that supports well-being and balance: breakfasts, fitness and yoga classes, after-work events, game nights Mentoring from senior technical experts and regular feedback to support your growth Immersion in a collaborative, international team passionate about sharing knowledge 2 remote work days per month Access to Works Council discounts (tickets, etc.) Gymlib pass for your well-being Modern offices in the heart of Paris (near the Eiffel Tower) Swile meal vouchers Transportation covered (50% Navigo, bike, etc.) 7. Our Hiring Process We warmly encourage you to apply to any of our roles, even if you think you're not an exact match. Please click the "Apply" button to submit your application — this helps us make the best possible assessment and get back to you as quickly as possible. Manual screening of your CV by a recruiter, followed by an AI-powered screening conversation (10 min) with Emma, Mirakl's AI Talent Ambassador, to explore your background and motivation for the role. You will need to complete this step within 3 days , otherwise we won't be able to move forward with your application. Interview with our recruiter to discuss your profile and expectations Interview with your future manager — Pierre Lourdelet , Data Scientist Interview with a future colleague, using structured STAR-method interviews to ensure transparency and fairness. Welcome to Mirakl! 🎉 This is an internship position based in Paris, with up to two days of remote work permitted per month. We welcome collaborators with their diverse perspectives and experiences to power us forward. These often far exceed conventional job requirements and help us create a culture of continuous learning. If you're ready to join a global leader powering digital transformation for 450+ of the world's most innovative retailers and B2B organizations. As part of our recruitment process, Mirakl processes your personal data to review and manage your application and, where appropriate, to consider your profile for future opportunities. You can exercise your data protection rights at any time, and as further detailed in our policies. For more information about how we process your personal data and your rights, please consult our Recruitment Privacy Notice, here in English and here in French. We may use Artificial Intelligence (AI) solutions to help streamline our hiring process, including screening applications, analyzing resumes, and assessing responses. While AI helps us work efficiently, all final hiring decisions are made by humans. For more information, visit our AI Guidelines for Candidates and Interviews . Find more English Speaking Jobs in France on Arbeitnow

Chez SFEIR, l'IA est notre accélérateur dans tous nos métiers — du Cloud AI-Ready aux plateformes Data modernes, en passant par le développement augmenté. SFEIR en 30 secondes 950 consultants passionnés par la tech et augmentés par l'IA 8 agences en France, au Luxembourg et à Bruxelles Partenaire Anthropic Select (+ 100 certifiés) 15 ans de partenariat Google Cloud + AWS, Scaleway, S3NS, Databricks, Snowflake, Confluent, DBT +90 clients actifs et +5 000 personnes formées par an via SFEIR Institute 140 certifiés Google Cloud, 30 Google Authorized Trainers, 7 Google Developer Experts Ta mission Concevoir et développer des pipelines de données robustes et scalables sur AWS ou GCP Implémenter des solutions ETL/ELT avec DBT, en mode ingénierie logicielle : versionné, testé, revu Orchestrer des workflows data avec Mettre en place le monitoring, l'observabilité et la Data Quality des plateformes data Participer à la modernisation des architectures data de nos clients — et à l'intégration des services GenAI dans les pipelines de production Ton terrain de jeu Stack : AWS ou GCP, Python, SQL, DBT, Terraform SFEIR AI : un parcours dédié pour maîtriser l'IA générative et le coding agentique — écrire du dbt et du SQL complexe assisté par IA, ça se travaille Ce qu'on cherche chez toi 3 ans minimum d'expérience en tant que Data Engineer Une expérience professionnelle confirmée sur AWS ou Google Cloud Un vrai niveau en Python et SQL — et l'envie d'écrire de la data comme on écrit du code Tu es passionné(e) par la Data et l'IA : tu fais de la veille, tu as des projets perso Ton évolution Un Engineering Manager dédié qui t'accompagne Une trajectoire claire : Lead Data Engineer → Data Architect Formation continue avec accès à Google Cloud Skills Boost et aux certifications Google Cloud Next, Data Cloud Summit : tu y vas, et parfois tu y parles SFEIR collecte vos données à caractère personnel afin de traiter votre candidature. Pour en savoir plus sur la gestion de vos données personnelles et pour exercer vos droits, nous vous invitons à consulter notre Politique de confidentialité . Find more English Speaking Jobs in France on Arbeitnow

SFEIR Strasbourg - 🌐 Data Engineer – Deviens un expert augmenté 🔎 Qui sommes-nous ? 🔍 SFEIR est un catalyseur d'innovation technologique à la pointe de la révolution IA. Nous transformons les organisations en créant un impact tangible et durable — non pas en suivant les tendances, mais en les industrialisant à côté de nos clients. Notre conviction : nous sommes entrés dans l'ère du 10x. L'IA bien orchestrée permet une accélération de 10x sur les cycles de livraison. Les organisations qui prendront de l'avance ne seront pas celles qui adopteront l'IA le plus tôt, mais celles qui sauront l'industrialiser avec méthode. C'est exactement ce que nous faisons à travers notre approche du Context Engineering , de notre partenariat avec Anthropic & notre plateforme GenAI RAISE. Nos chiffres clés : 950 consultants passionnés par la tech et augmentés par l'IA 8 agences en France, au Luxembourg et à Bruxelles +90 clients actifs et +5000 personnes formées par an via SFEIR Institute Partenaire Anthropic Select au sein du volet Services du Claude Partner Network depuis le 1er juin ! 15 ans de partenariat avec Google Cloud, Partner of the Year à plusieurs reprises, et un écosystème de partenaires premium (AWS, Microsoft, Scaleway, S3NS, Databricks, Snowflake, Confluent, dbt…) 💫 Qu'est-ce qui nous anime ? 💫 Le point commun de nos Sfeirians, c'est la passion pour la Tech. Notre culture est résolument tournée vers l'excellence technologique, le transfert de compétences et nos valeurs phares : bienveillance, diversité, excellence, liberté, responsabilité. Nous sommes AI-Powered : on utilise RAISE (notre outil interne) et Claude Code au quotidien. Notre partenariat Anthropic te permet d'avoir accès aux outils et certifications avant tout le monde. 💻 Ton futur rôle : Data & Innovation Concrètement, tu vas donner du sens à la donnée et créer de la valeur utile, car sans data solide, pas d'IA performante. ✔ Data Engineering : Concevoir et maintenir des pipelines modernes et scalables (Spark, Kafka, etc.). ✔ AI-Ready : Construire des architectures permettant la valorisation par l'IA et la GenAI. ✔ Transformations : Intervenir sur l'ingestion, le traitement temps réel, la modélisation et la gouvernance. ✔ Build : Utiliser Python ou Scala pour manipuler et enrichir des datasets sur des projets de build. ✔ Data Platform : AWS, Azure, GCP ✔ Langues : français & anglais mandatory La "Strasbourg Factory" SFEIR Strasbourg c'est : - 135 consultant(e)s qui se connaissent toutes et tous ; - Des managers techniques qui comprennent ton métier ; - Une trentaine de clients actifs localement et une centaine au niveau du groupe ; - Des événements internes organisés chaque mois (afterworks, Meetup, formations) ; - Une scène tech vivante : talks internes, meetups, afterworks et partage. - Le programm e AI Champions pour passer au niveau supérieur avec l'IA 🎁 Ce qu'on t'offre Salaire : Basé sur tes skills réels validés aux PlayOffs, notre process de recrutement technique Carte restaurant Pluxee Machines Premium : MacBook Pro ou Dell au choix. Zenride Primes vacances 🎯 En pratique Lieu : chez nos clients sur la métropole strasbourgeoise ou dans notre factory Télétravail : 3 à 4 jours par semaine si factory et 1 ou 2 jours par semaine chez nos clients 🎮 La suite des événements Entretien RH avec Geoffrey ou Selma PlayOffs : Tests tech en pair-programming (algo, langage, plateforme) avec 3 Sfeirians Final avec Marguerite, notre directrice locale. SFEIR collecte vos données à caractère personnel afin de traiter votre candidature. Pour en savoir plus sur la gestion de vos données personnelles et pour exercer vos droits, nous vous invitons à consulter notre Politique de confidentialité . Find more English Speaking Jobs in France on Arbeitnow

SFEIR est un cabinet d'expertise technologique spécialisé dans la conception, l'architecture et l'industrialisation de solutions numériques sur-mesure. Nous accompagnons les organisations dans leurs transformations les plus complexes en combinant la rigueur du Software Craftsmanship avec la maîtrise des technologies d'avenir. Convaincus que la souveraineté numérique est un enjeu stratégique majeur, nous concevons des architectures sécurisées, performantes et indépendantes, portées par des partenariats solides avec des acteurs clés comme SENS et Scaleway . Acteur de référence sur l'intelligence artificielle, nous faisons évoluer les standards d'ingénierie modernes. À travers notre plateforme GenAI RAISE et notre statut de partenaire Anthropic Select (au sein du Claude Partner Network ), nous plaçons le Context Engineering et l'IA générative au cœur de nos pratiques. Nos chiffres clés : 950 consultants passionnés par la tech et augmentés par l'IA 8 agences en France, au Luxembourg et en Belgique Partenaire Anthropic Select au sein du Claude Partner Network 15 ans de partenariat avec Google Cloud, AWS, Microsoft, Databricks, Confluent... +5000 personnes formées par an via le SFEIR Institute Rejoindre SFEIR, c'est intégrer un collectif où la culture technique prévaut. Nous offrons des trajectoires de carrière dédiées aux experts ( Individual Contributor / IC ), te permettant de progresser en haute maîtrise technique sans devoir basculer vers du management organisationnel. Nous intégrons l'IA à nos propres pratiques d'ingénierie (utilisation quotidienne de RAISE et Claude Code) pour automatiser les tâches répétitives et concentrer nos efforts sur la conception d'architectures résilientes. ▪️ À propos de la mission Pour accompagner la forte croissance de notre collectif Sud-Ouest, nous recherchons notre futur Data Engineer confirmé (F/H/NB). Au cœur de nos projets clients les plus ambitieux, ton objectif principal sera de donner de la valeur à la donnée et d'imaginer des architectures de pointe, prêtes pour l'IA ( AI-Ready ) . Au quotidien, tu seras le moteur technique de la structuration des données chez nos clients : Architecturer des pipelines data robustes avec Python, SQL, dbt et Airflow Travailler avec BigQuery, Snowflake, Databricks, Kafka ou les outils MLOps Penser Data Quality, gouvernance, observabilité et optimisation des coûts Construire des plateformes de données fiables et évolutives Participer à l'industrialisation des usages IA Transformer des datasets complexes en produits data exploitables Expérimenter les nouveaux usages de l'IA appliqués à la Data ▪️ Le profil idéal Formation & Parcours : Titulaire d'un Bac+5 en informatique (Master, école d'ingénieur) ou un parcours équivalent avec une solide expérience acquise sur le terrain. Expérience : Tu justifies de 4 à 5 ans d'expérience réussie sur un rôle similaire de Data Engineer, idealement dans des environnements exigeants. Stack & Méthode : Tu maîtrises l'écosystème Cloud et Big Data, tu aimes appliquer les bonnes pratiques d'ingénierie logicielle (CI/CD, tests, code clean) et tu as envie de transmettre ton savoir-faire au sein du collectif. ▪️ L'ancrage Bordelais L'agence SFEIR Bordeaux regroupe une quinzaine d'ingénieurs et d'architectes seniors. Tu y trouveras la proximité et l'agilité d'une structure à taille humaine, adossée à la solidité d'un grand groupe. Tu participes activement à l'écosystème tech local (meetups, conférences BDX/IO, SFEIR Talks) et tu peux intégrer le programme AI Champions pour piloter la R&D de l'agence. ▪️ Tes conditions de travail Organisation : 2 à 3 jours de télétravail par semaine. Équipement : Laptop haut de gamme au choix (MacBook Pro ou Dell Precision dernière génération). Package : Rémunération fixe attractive, prime de vacances, accord d'intéressement, forfait mobilités durables, mutuelle et titres-restaurant. ▪️ Le processus de recrutement Échange RH : Alignement sur ton parcours, tes attentes et les opportunités SFEIR. Session Technique ("PlayOffs") : Évaluation pratique en pair-programming (Algo, Python, SQL) avec trois Sfeirians. Échange Métier & Projection : Discussion approfondie sur les cas d'usage, les missions cibles et le contexte client à Bordeaux. Entretien Final : Échange stratégique avec le Directeur d'Agence. Prêt·e à passer au niveau supérieur sans renoncer à tes valeurs ? Postule et viens rencontrer le collectif ! SFEIR collecte vos données à caractère personnel afin de traiter votre candidature. Pour en savoir plus sur la gestion de vos données personnelles et pour exercer vos droits, nous vous invitons à consulter notre Politique de confidentialité . Find Jobs in France on Arbeitnow