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Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we're unlocking new possibilities as one global team. Join us in our mission to transform the way people shop and eat, where impact, innovation and growth drive everything we do. Our Global Engineering teams tackle complex technical challenges across a global, three-sided marketplace, building and scaling systems that serve millions of customers, riders and partners every day. We're looking for a Machine Learning Engineer to join our London office as part of a Global DoorDash Engineering team (working hybrid, 3 days in the office). Our New Verticals team exists to grow monthly active usage outside of restaurant ordering — groceries, retail, and everything in between. That means turning someone who only orders restaurant food into someone who also uses the app for a grocery run, and turning dormant users into active ones. You'll work on the surfaces that make that happen: the homepage, vertical landing pages, and the notifications that bring people back. This role sits closer to the personalisation and ranking side of that mission, working alongside colleagues across DoorDash, Deliveroo and Wolt. What You'll Be Doing Build and improve ranking models for vertical landing pages (grocery, retail), deciding what a user sees first when they land on a store page Design models that blend new-vertical content into a homepage built around restaurant ordering, without disrupting the core experience Build personalisation models that translate a user's existing behaviour into relevant recommendations for verticals they haven't tried yet Contribute to notification targeting — who gets notified, with what message, and when, to drive adoption of new verticals What You'll Need to Thrive Minimum 3+ years of experience as an ML Engineer or Data Scientist, with a proven ability to write high-quality production code in Python Experience with end-to-end model productionisation A bias to simplicity, where you care most about achieving impact Background in personalisation, ranking, or recommender systems; exposure to causal inference or uplift modelling is a genuine plus but not expected Why Join Us? At Deliveroo, you'll do work that matters—solving real-world problems in a three-sided marketplace that's constantly evolving. We're food lovers, problem solvers, community builders and more, brought together by a shared drive to make things better. Working here you can expect to: 🔧 Solve meaningful problems at real scale Work on a complex, always-on marketplace that impacts millions every day. 🌱 See your impact, fast Ship, test and improve ideas quickly in a low-hierarchy, high-ownership environment. 🧠 Grow through challenge and ownership Take on big, ambiguous problems and accelerate your career with strong support. 🌎 A culture built for builders High standards, collaboration, flexible working and continuous learning. 💰 Share in the success you help create Competitive salary and equity options, so you're rewarded for the impact you make. ➡️ Want a deeper look at how we build? Check out our Tech Blog. Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We're committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you'll have the opportunity to let us know once you've submitted your application. We'll share details on how to request support so we can ensure you have a fair and equitable experience. If you're excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we'd love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness . Find Jobs in United Kingdom on Arbeitnow

About us Re-architecting Engineering for the Age of Intelligence PhysicsX is the physics AI company for industrials. The company's mission is to accelerate hardware innovation by overhauling what industrial engineering and manufacturing look like today. PhysicsX is building a new simulation software stack to deliver deep physics AI enablement across the entire engineering lifecycle. The company partners with leading organisations in aerospace & defence, automotive, semiconductors, materials, and energy & renewables, supporting them on some of their most critical and complex challenges. PhysicsX is headquartered in the United Kingdom, with offices in London, New York, and Singapore and an expanding presence in the Bay Area. Who We're Looking For As a Data Scientist in Delivery, you are a problem solver and builder who is passionate about creating practical solutions that enable customers to make better engineering decisions. You are someone who can grasp advanced engineering concepts across multiple industries, and you excel at working directly with customers (and often side-by-side with them on-site) to transform cutting edge AI models into tools that are useful and used. You've worked on difficult problems that require strong foundations in data driven modelling and deep learning techniques, with hands-on experience in probabilistic methods and predictive modelling. Expertise in python, along with proficiency in libraries like NumPy, SciPy, Pandas, TensorFlow and PyTorch, is essential, with the ability to deploy scalable, production-ready models and data pipelines. With at least 1 year industry experience (post Masters or PhD) in a commercial, non-research environment, you're ready to hit the ground running. You're truly excited about growing your technical expertise and are naturally inclined to take ownership of data science work streams, continuously improving the systems and solutions you work on to ensure they are practical, impactful and meet the evolving needs of our customers. This Role In this role, you'll work closely with our Simulation Engineers, Machine Learning Engineers, and customers to understand and define the engineering and physics challenges we are solving. You'll build the foundations for successful, impactful solutions by: Pre-processing and analyzing data to prepare it for use in predictive modelling, building the foundation for machine learning algorithms to be developed. Developing and utilizing innovative deep learning models in combination with state-of-the-art optimization methods to predict and control the behaviour of physical systems. Taking full responsibility for the quality, accuracy and impact of your work. Designing, building and testing data pipelines that are reliable, scalable and easily deployable in production environments. Working closely with simulation engineers to ensure seamless integration of data science models with simulations. Contributing to internal R&D and product development, helping to refine models and identify new areas of application. Engaging in open communication and presentation with both technical teams and customers, helping onboard users and co-develop with customers. You'll also have the opportunity to travel to customer sites in North America, Europe, Asia, Oceania, for an average of 3-4 weeks per quarter , where you'll collaborate closely with customers to build solutions on-site. As the role evolves, there are exciting opportunities for growth as an individual contributor or a technical lead, especially if you're driven by taking ownership of more complex projects and leading the direction of future solutions. Please note, this role is based in London, working 2-3 days per week in our central office. Our delivery teams drive innovation to turn AI models into practical solutions - read our blog to learn more about how you'll contribute to this exciting journey! What we offer Build what actually matters Help shape an AI-native engineering company at a formative stage, tackling problems that genuinely matter for industry and society. This is work with real-world impact - and something you can be proud to stand behind. Learn alongside exceptional people Work with a high-caliber, collaborative team of engineers, scientists, and operators who care deeply about doing great work, and about helping each other get better. We come from diverse backgrounds, but we share a commitment to operating at the highest level and addressing some of the most complex challenges out there. If you're ambitious, thoughtful, and driven by impact, you'll feel at home. Influence over hierarchy We operate with a flat structure: good ideas win - wherever they come from. Questioning assumptions and challenging the status quo isn't just welcomed, it's expected. Sustainable pace, long-term ambition Building meaningful technology is a marathon, not a sprint. We believe in balancing focused, ambitious work with a life beyond it. Our hybrid model blends time together in our Shoreditch office with work-from-home days, giving you the flexibility to work sustainably while staying connected in person. And it doesn't stop there … 🚀 Equity options - share meaningfully in the company you're helping to build. 🏦 10% employer pension contribution - because investing in future matters. 🍽️ Free office lunches - to keep you energised and focused. 👶 Enhanced parental leave - 3 months full pay paternity and 6 months full pay maternity leave, to provide extra flexibility during the moments that matter most. 🍼 YellowNest nursery scheme - to help working parents manage childcare costs. ☀️ 25 days of Annual Leave (+ Public Holidays) - because taking time to rest matters. 🏥 Private medical insurance - 100% employee cover, giving you complete peace of mind. 💪 Wellhub Subscription - gain access to thousands of gyms, classes and wellness apps, supporting both physical and mental wellbeing. 👀 Eye tests - because good work depends on good health. 📈 Personal development - dedicated support for learning, development, and leveling up over time. 💛 Employee Assistance Programme (EAP) - confidential wellbeing support, available whenever you need it. 🚲 Bike2Work scheme and 🚆 Season ticket loan - to make getting to work easier and greener. 🚗 Octopus EV salary sacrifice - for a simpler, more sustainable way to drive electric. 🔎 Watch this space, we're continuing to build this as we grow… We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply. To help make a change, we sponsor bright women from disadvantaged backgrounds through their university degrees in science and mathematics. We collect diversity and inclusion data solely for the purpose of monitoring the effectiveness of our equal opportunities policies and ensuring compliance with employment and equality legislation. This information is confidential, used only in aggregate form, and will not influence the outcome of your application. Find Jobs in United Kingdom on Arbeitnow

About Wolt At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we're building the delivery of (almost) everything and you'll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe. Working at Wolt isn't always easy, but it's definitely exciting. Here you'll learn more, build more, and ship more than in most other companies. You'll be challenged a lot, but also have a lot of fun on the way. So, if you're a self-starter with drive and entrepreneurial spirit, this could be the ride of your life. About the Support Group As the name Support Group implies, this group is responsible for the core part of the customer experience journey that has got Wolt top-notch ratings in app stores. During the years we've invested a lot in the in-house built support tooling as we believe that it's the only way we can ensure the satisfaction of all of our customers and partners in each of the 25 countries that we operate in. We take huge pride in our customer operations' quality, so on top of building delightful support experiences in our consumer app we also want to proactively identify and solve issues even before our customers and partners even notice something might be wrong. About the Support Analytics Team Our Support Analytics team's main goal is to deliver an amazing Customer, Merchants & Courier support experience while optimizing our operations by providing actionable insights and quantifying the impact of those actions on the overall business. 💡 You'll be part of this team working with top Data Science and Analytics Engineering professionals. What you'll be doing As a Senior Data Scientist at Wolt, your role involves diving into our data to solve crucial business problems. The scope of this role ranges from diagnosing problem areas to identifying solutions to designing experiments and ultimately influencing decision-making. This is a rare, operational, and actionable data-driven experience. When you join this team, you will be driving action from the frontlines, rather than just doing yet another analytics role. Your job will mainly focus on driving operational efficiency with the Workforce Management (WFM) team and optimizing resource allocation by creating accurate scheduling and intraday forecasts, simplifying forecasting processes, building and supporting KPI dashboards, conducting root cause analysis for SLA improvements, exploring cost optimization opportunities, managing the capacity plan framework, enhancing the WFM data pipeline, and uncovering data-driven insights to refine planning, scheduling, reporting, and intraday management. Our humble expectations Required: 5+ years of experience in a data science or analytics position Experience building forecasting models and time series analysis (Prophet, SARIMA, Holt-Winters or similar) Experience in Cost Analysis and What-if Scenario Analysis Deep knowledge of statistical packages in Python or R Proficiency in writing structured and efficient SQL queries for large data sets Ability to influence and advise senior stakeholders Good to have: Experience using ML for forecasting Experience working with ML engineers/ML platform Building data pipelines using Airflow or similar tools What we offer The online delivery platform that Wolt is building will offer you interesting and complex challenges, together with the opportunities to create a big impact with your skills. Lots of geolocational and temporal data in real-time, combined with differences in the economics and dynamics of the cities we operate in, make Wolt both a challenging and interesting company to practice analytics. You have the chance to decide the ways of working: a hybrid, at the office, or remote in Berlin. 💙 You would get to work in a company culture where we take ownership beyond the obvious, do common things uncommonly well, we think big but stay humble, do right by people, we treat others kindly and justly, recognize that if we don't learn, we won't stay still but fall behind and keep in mind that Luke was Yoda's greatest achievement. Next steps The position will be filled as soon as we find the right person, so make sure to apply as soon as you realize you really, really want to join us! For any further questions about the position, you can turn to Senior Talent Acquisition Partner - Zhanna Filintseva via Our Commitment to Diversity and Inclusion We're committed to growing and empowering a more inclusive community within our company, industry, and cities. That's why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring — learn more about our legitimate recruiting process at Recruitment Scam Awareness - DoorDash . Find Jobs in Germany on Arbeitnow

As our Senior Analytics Engineer for Operations, you'll own that data end to end, the model behind it, the metrics it produces, and the trust the business places in both. This role isn't just "build the metric, ship the dashboard." We want someone who looks past the number to the process behind it, where it's manual, where it's fragile, where the right tool removes the work instead of just reporting on it. You'll have a direct line to influencing how those processes and the surrounding product actually work, not just how they're measured. You'll sit embedded inside Operations, partnering with the TRI (Trust & Risk Intelligence) domain wherever the two overlap, while working inside the Data & Analytics team's AE guild — so you'll have the tools and the context to actually contribute, not just execute. What You Will Be Doing Own the Operations data model — reconciliation, treasury, payments, lifecycle, and onboarding — turning raw operational events into documented, trustworthy data products on the DWH Partner directly with Operations stakeholders on day-to-day questions, ad hoc requests, and recurring reporting, acting as their primary data point of contact — while pushing routine, repeatable questions toward self-service instead of answering the same thing by hand every time Look past the metric to the process behind it — understand how everything actually works end to end, spot where manual effort or fragile handoffs are the real problem, and identify which tools (not just which query) would solve it Define and maintain key metrics for reconciliation accuracy, treasury positions, payment success/failure rates, and onboarding conversion, working within the team's central metric architecture Participate in data quality and governance practices for the domain Bring process and product ideas to the table directly — you're close enough to the operational reality to see what should change, and this role expects you to say so and help make it happen, not just report the numbers upward Your First Six Months First month Learn the Operations domain and how it currently works and reports, end to end. Meet your stakeholders and your teammates. Ship a first small, well-scoped fix or data product from the existing backlog to get real signal into the system quickly First 3 months Own at least one Operations sub-domain's metrics end to end. Start contributing to the shared Risk/TRI conversations, and bring your first concrete process or tooling suggestion to a stakeholder — something you noticed while getting close to the actual workflow First 6 months Operations stakeholders treat you as their data partner, not the new person. Routine checks are answered by self-service — what reaches you is what actually needs a person. You hold real, independent ownership over the data and workflows under your supervision Who You Are You've worked as an analytics engineer or senior analyst on technical projects involving data modeling on a modern data platform (Databricks, Spark, or dbt) — not just querying data others built You write excellent SQL for analytical work, and you can pick up Python for anything SQL doesn't cover well You're confident gathering requirements directly from operational stakeholders and turning ambiguous asks into clean, documented metrics You default to precision over speed when the two are in tension — Operations data feeds regulatory and financial reporting, and being wrong quietly is worse than being slow You can hold two stakeholders' definitions of "the same" metric and reconcile them, rather than picking whichever is more convenient You think past the metric to the process it describes — you want to understand how the domain's tasks actually get done, spot which tool or automation would remove real work rather than just report on it, and you push for that change rather than waiting to be asked You have a high level of autonomy and self-direction — you're the one who decides what needs fixing, not just how to measure it AI-assisted workflows and tools are just part of how you work, not a novelty Nice to Have Background in banking, fintech, treasury, or payments operations Experience working across multiple stakeholder groups with overlapping but not identical needs Familiarity with regulatory or financial reporting data requirements Occasional exposure to BI-layer reporting (PSM, lifecycle, or similar) when it intersects with your data products What You Will Get In Return Make a genuine impact on the product Join our upward trajectory, and grow with us. We provide the resources and opportunities for continuous personal and professional development, empowering you to make a genuine impact on our evolving product. Work in the EU Embark on this exciting journey with us and enjoy the flexibility of traveling and working remotely or in a hybrid model across Europe. Become a stock options holder Unlock your inner entrepreneur and align your aspirations with ours through our Stock Options Program. This exciting opportunity is available to every team member, from junior team members to our founders. Receive unwavering support and care Finom stands by you at every step, embodying our commitment to your well-being and success reflected in our modern, friendly, and eco-conscious corporate culture. We offer constant support and care to ensure your Finom experience is successful and fulfilling. Work & Swim program Immerse yourself in our exclusive Work & Swim Program. Spend one month in a comfortable corporate apartment in enchanting Cyprus. It's the ideal opportunity to strike the perfect work-life balance while enjoying breathtaking Mediterranean views. Equal Opportunity Statement At Finom, we're an equal opportunity employer and value diversity at our company. We embrace diversity and invite applications from all walks of life. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, disability status, or other applicable legally protected characteristics. Find more English Speaking Jobs in Germany 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, aus Rohdaten verlässliche Datenmodelle zu bauen, mit denen echte Geschäftsentscheidungen getroffen werden? Dann verstärke unser Team und übernimm die Ownership für zentrale Datenmodelle im OMR-Kosmos. Bei uns schreibst du nicht nur SQL: Deine Modelle steuern das Ticketing unseres Festivals, unser Finance-Reporting und unsere Marketingbudgets! Wo du wirklich was bewegst Du übernimmst die Ownership unserer Ticketing- und Event-Datenmodelle in dbt (Staging, Reporting und Semantic Layer) und entwickelst sie eigenständig weiter Du baust ein verlässliches Ticket-Forecasting auf Basis historischer Verkaufsdaten, Pricing und Event-Kategorien auf und schaffst damit die Grundlage für unsere Absatzplanung Du verantwortest unsere Finance-Datenmodelle und baust ein Working Capital Reporting auf, das Forderungen, Verbindlichkeiten und Cashflow transparent macht Du entwickelst unser Cross-Channel-Attributionsmodell über alle Marketingkanäle (u. a. Google Ads, Meta, LinkedIn, TikTok) und machst damit den ROI unserer Marketingausgaben sichtbar Du bearbeitest Ad-hoc-Anfragen aus unseren Business Units eigenständig, von der Auswertung über den Datenexport bis zur Dashboard-Anpassung Du arbeitest eng mit Sales, Finance, Marketing und Events zusammen und übersetzt deren Anforderungen in skalierbare Datenmodelle Was dich auszeichnet Du hast 1 bis 2 Jahre Berufserfahrung im Analytics- oder BI-Umfeld und bereits eigenständig Datenmodelle entwickelt und gepflegt Du bist sicher in SQL und hast idealerweise bereits mit dbt und BigQuery (oder vergleichbaren Cloud Data Warehouses) gearbeitet Du denkst analytisch undverstehst bestehende Datenmodelle schnell, erkennst Zusammenhänge und entwickelst sie strukturiert weiter Du arbeitest selbstständig, ownst deine Themen und bearbeitest Stakeholder-Anfragen ohne enge Anleitung Idealerweise bringst du Python-Kenntnisse, Grundlagen in Statistik und Forecasting (z. B. Zeitreihenanalyse) oder Erfahrung mit Marketing-Daten (Ads-Plattformen, UTM-Tracking, Attribution) mit 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

Requisition ID: 296977 Relocation Authorized: National - Family Telework Type: Part-Time Telework Work Location: Reston, VA Salary Range: 105,000 - 160,200 annually (salary range is based on market data; final salary offered is determined by education, experience, and qualifications of the applicant.) . Extraordinary teams building inspiring projects: Since 1898, we have helped customers complete more than 25,000 projects in 160 countries on all seven continents that have created jobs, grown economies, improved the resiliency of the world's infrastructure, increased access to energy, resources, and vital services, and made the world a safer, cleaner place. Differentiated by the quality of our people and our relentless drive to deliver the most successful outcomes, we align our capabilities to our customers' objectives to create a lasting positive impact. We serve the Infrastructure; Nuclear, Security & Environmental; Energy; Mining & Metals, and the Manufacturing and Technology markets. Our services span from initial planning and investment, through start-up and operations. Core to Bechtel is our Vision, Values and Commitments . They are what we believe, what customers can expect, and how we deliver. Learn more about our extraordinary teams building inspiring projects in our Impact Report . Job Summary: Prepare, review and present general and/or discipline (civil, construction distributables) estimates in heavy civil, airport, light rail businesses. Perform historical data analysis. Supports estimate reporting and reviews. Major Responsibilities: The following duties are performed with respect to Estimate Execution: Performs quantity takeoffs for a discipline or commodity specialty using defined documents. Collects, reconciles, and verifies data for summary comparisons. Prepares portions of estimates by contacting project team and others, including vendors, to develop and apply unit rates and installation rates to quantity takeoffs and work operations within a discipline or other specialty. Produces cost estimates using crew-based approach including formation of crews from multiple crafts. Provides input to estimate basis documentation capturing assumptions, rationale, scope inclusions and exclusions for specific contributions. Create estimate summary presentations for estimate reviews. Present estimate packages to Management during reviews. Provides support for special estimating and other assignments, including post-Proposal support converting the estimate to a budget (budgeting, revenue loading, data entry and collection, etc.) Education and Experience Requirements: Bachelor's Degree in engineering, construction management, business management or related field OR minimum of 10 years of experience in lieu of degree. A minimum of 5 years of experience in Estimating or Project Controls. Required Knowledge and Skills: Advanced level of expertise in the use of MS Word and MS Excel. Basic knowledge of project controls concepts, processes and procedures specifically project schedules, work breakdown structure and budgets. Experience with heavy civil estimate development. Skilled in oral and written communication with demonstrated ability to present cost information to peers and management. Right to work and remain in the United States without sponsorship. Experience with capital cost estimate development. Experience in Heavy Civil, Rail Transit systems and or highway estimating Ability to perform productivity analysis of construction operations and verify results by staffing and crew analysis of work operations by craft. Understanding of cost index and escalation projections. Proficient in estimating applications used for discipline estimates and basic knowledge of general estimating systems currently being used by Bechtel (Microsoft Suite of Tools, HCSS, etc.). Total Rewards/Benefits: For decades, Bechtel has worked to inspire the next generation of employees and beyond! Because our teams face some of the world's toughest challenges, we offer robust benefits to ensure our people thrive. Whether it is advancing careers, delivering programs to enhance our culture, or providing time to recharge, Bechtel has the benefits to build a legacy of sustainable growth. Learn more at Bechtel Total Rewards Diverse teams build the extraordinary: As a global company, Bechtel has long been home to a vibrant multitude of nationalities, cultures, ethnicities, and life experiences. This diversity has made us a more trusted partner, more effective problem solvers and innovators, and a more attractive destination for leading talent. We are committed to being a company where every colleague feels that they belong-where colleagues feel part of "One Team," respected and rewarded for what they bring, supported in pursuing their goals, invested in our values and purpose, and treated equitably. Click here to learn more about the people who power our legacy. At Bechtel, our employees enjoy a competitive total rewards package that includes comprehensive medical, dental, and vision plans, along with optional disability and supplemental insurance options, generous paid time off (160 hours annually, accrued 6.16 hours per pay period), nine paid holidays, paid parental leave, discretionary bonuses, and a well-designed 401K plan with matching and profit-sharing components Bechtel is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity and expression, age, national origin, disability, citizenship status (except as authorized by law), protected veteran status, genetic information, and any other characteristic protected by federal, state or local law. Applicants with a disability, who require a reasonable accommodation for any part of the application or hiring process, may e-mail their request to acesstmt@bechtel.com

Pionnier des ventes événementielles en ligne depuis 2001 et acteur incontournable du e-commerce en Europe, Veepee collabore avec plus de 7 000 marques pour proposer des produits à forte décote, disponibles sur une durée limitée. Présent dans de nombreux univers parmi lesquels la mode, la maison, le vin, le voyage, ou encore la beauté ... Veepee a réalisé en 2024 un chiffre d'affaires de 3,3 milliards d'euros TTC et compte 5 000 collaborateurs répartis dans 10 pays. 📄 DESCRIPTION DU POSTE Data drives strategic decisions at Veepee, particularly within the Marketing department. As a Lead Data Analyst, specialised in CRM , you will play a crucial role in the Marketing Data & Insight team. Combining hands-on analytical expertise with technical mentorship, you will drive CRM analytics strategy while supporting and developing the team The missions, for you and the people you will mentor, will focus on bringing the appropriate support to the CRM team transforming complex customer data into actionable insights. As a lead, you will have to Empower and upskill the team members, guiding their technical and functional growth. Organize workloads and manage priorities. Ensure methodology consistency and strategic alignment Be the guarantor for data accuracy, reporting standards, and quality of communication. Be a privileged interlocutor for Data Insight Director and CRM Director. Acting as a key analytical partner for them 🎯 MISSIONS Analysis & Recommendations: Use Veepee data (Collect, analyze and interpret data) and provide actionable insights and concrete optimization levers for CRM (Ex : Commercial pressure management, Member Lifecycle scoring). Adapt your analysis depending on the context and current problems Proactively investigate ad-hoc business issues to deliver timely, context-aware diagnosis and guidance. Synthesize findings into clear, concise, and structured presentations. Present your results to stakeholders, including senior management and Codir member Relevant Dashboard : Design and deliver high-impact dashboards that empower the CRM teams to track business performance efficiently and autonomously. Translate complex customer journeys into intuitive visual dashboards, empowering CRM campaign managers and marketing leads Analytics Engineering : Design, build, and maintain CRM data models and analytical tables within the central data platform, following requirements and guidelines. Data integrity : Ensure data integrity and quality by collaborating with technical teams (Tech Data team) to implement effective data management processes Mentor analysts: Provide functional and technical mentorship to data analysts, enforcing rigorous standards to guarantee the accuracy, relevance, and coherence of all team deliverables. Coach analysts on problem-solving, data storytelling, and translating raw data into actionable business recommendations. Follow project execution and ensure deadlines are met Supervise tool usage : Supervise and standardize the team's use of analytical and BI platforms 👉 PRÉ REQUIS Master degree in Mathématiques, Statistiques, Informatique or Marketing (with a data specialisation). 5+ years as a Data Analyst with strong specialization in CRM analytics Technical Skills Proficiency in SQL for data analysis, encompassing the full data lifecycle from retrieval to results presentation. DBT skills Advance experience with data visualization tools, Familiarity with CRM tracking tools and data architectures Strong analytical and problem-solving skills. Excellent communication and Proven presentation &report writing skills A strong appetite for supervising projects and people Knowledge of e-commerce trends and CRM best practices. Attention to detail and the ability to work in a fast-paced environment. Fluent English mandatory ✅ AVANTAGES 👉 Prime variable 👉 Participation aux bénéfices et plan d'intéressement 👉 Bureau flexible avec au minimum 3 jours sur place et jusqu'à 2 jours à domicile 👉 Plate-forme d'apprentissage des langues en ligne 👉 Comité d'entreprise CE et ses nombreux avantages 👉 Chèques CESU et chèques vacances 👉 Accès à une restauration d'entreprise et cantine connectée 👉 Accès à la Salle de sport ❓ EN SAVOIR PLUS SUR L'ÉQUIPE At the heart of Marketing, the Marketing Data & Insight team provides the most relevant data analysis on a daily basis for decision-making and to serve the business. Today, the team is made up of 7 people and 2 areas of expertise: Data Analyst & Insight Specialist, in order to be able to rely on our internal data, but also on market data & trends. The team is dynamic and full of great people (such as Veepee in general) . The Veepee Group processes your data collected as part of the management of your recruitment in order to manage your application file for the position for which you have applied. To find out more about our personal data protection policy , we invite you to consult it on our career site. Find Jobs in France on Arbeitnow

About the job Help us make a big green dent in the universe. We're on a mission to drive the global renewable energy revolution, and we need loads more people to help us make our vision a reality. This could not be a better time to join Octopus Energy. We are already recognised as a global leader in the fight to decarbonise the planet by revolutionising what's possible in energy - including investments in renewable energy supply, renewable energy generation, smart energy networks, EVs, heat pumps, etc. The government's new green initiatives and the recent investment by Al Gore's Generation Fund will propel us further and faster. There has never been a more important moment to join our credit risk team. The energy sector is going through a period of once-in-a-generation volatility. Businesses and households are facing higher energy prices than they ever have before. For these reasons we are looking to add to our credit risk team with this new role. This team sits at the heart of everything we do to support customers that are struggling with their bills. We're unique because we are genuinely a hybrid of a few different skills and mindsets: Data analytics is our core skillset. Everyone in the team is very strong in this area We have a firm understanding of the needs of our customers and the business We work closely with the tech team, because we're a tech company, so this how we solve customer problems efficiently at scale We work closely with our operations teams who are the people that speak directly to customers What You'll Do Take ownership of our management of customers who are struggling with their payments Deep dive investigations into data in order to surface insight for decision making Develop our reporting suite through the latest BI tools & technology stack Develop our empathic approaches towards vulnerable customers Create strategies to identify and prevent first party and third party fraud Develop our machine learning models & policies that drive sophisticated decisions Proactively identify new areas of opportunity Challenge the status quo in terms of KPIs, objectives & strategy Communicate complex data concepts effectively and confidently Build great relationships with Collections, Ops, Technology, Finance, and other stakeholders What You'll Have Excellent SQL skills A drive to solve problems using data 2-5 years experience in data analytics in a consumer-facing business What would be a bonus: Python data science stack (pandas, NumPy, Jupyter notebooks, Plotly/matplotlib, etc.) Familiarity with Git Data visualization tool (Tableau, Looker, PowerBI or equivalent) DBT Why else you'll love it here • Wondering what the salary for this role is? Just ask us! On a call with one of our recruiters it's something we always cover as we genuinely want to match your experience with the correct salary. The reason why we don't advertise is because we honestly have a degree of flexibility and would never want salary to be a reason why someone doesn't apply to Octopus - what's more important to us is finding the right octofit! • Octopus Energy Group is a unique culture . An organisation where people learn, decide, and build quicker. Where people work with autonomy, alongside a wide range of amazing co-owners, on projects that break new ground. We want your hard work to be rewarded with perks you actually care about! We were named the UK's top company to work for in 2025 , and we ranked in the top ten in the Sunday Times Best Places to Work 2026 . Our Group CEO, Greg has recorded a podcast about our culture and how we empower our people. We've also been placed in the top 10 companies for senior leadership • Visit our UK perks hub - Octopus Employee Benefits If this sounds like you then we'd love to hear from you, tell us what you care about, why Octopus feels right and most importantly, bring us the real you! Applying for jobs can be a bit scary so have a nose through some of our tips first 🚀 P.S. Our process usually takes up to 4 weeks, but we'll always do our best to flex around what works for you. Along the way, you'll chat with our recruitment team and your Recruiter will help you throughout different stages. Got any burning questions before then? Drop us a message at ----- and we'd love to help! Are you ready for a career with us? We want to ensure you have all the tools and environment you need to unleash your potential. Need any specific accommodations? Whether you require specific accommodations or have a unique preference, let us know, and we'll do what we can to customise your interview process for comfort and maximum magic! Studies have shown that some groups of people, like women, are less likely to apply to a role unless they meet 100% of the job requirements. Whoever you are, if you like one of our jobs, we encourage you to apply as you might just be the candidate we hire. Across Octopus, we're looking for genuinely decent people who are honest and empathetic. Our people are our strongest asset and the unique skills and perspectives people bring to the team are the driving force of our success. As an equal opportunity employer, we do not discriminate on the basis of any protected attribute. Our commitment is to provide equal opportunities, an inclusive work environment, and fairness for everyone. Find more English Speaking Jobs in United Kingdom on Arbeitnow

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

Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operational clarity. World's leading companies trust Celonis and its global ecosystem of partners to make their AI agents, people, systems, and processes work together, achieving transformational outcomes. We believe there's a massive opportunity to unlock global productivity and sustainability by giving AI the context to understand how every business process really works. Join our mission to make processes work for people, companies, and the planet. The Team Celonis Services is the delivery engine of our Celonis Customer Organization, responsible for turning the Celonis platform into measurable, business-critical outcomes for our customers. In the AI era, our role has elevated: as AI agents like our own Apollo take on more of the technical build, our people focus on the work that drives real impact—understanding our customers' business-critical problems, designing the solutions that solve them, and quantifying the value delivered. Our Deployment Engineers and Deployment Architects pair deep domain and industry expertise with serious platform mastery and AI-augmented delivery, directing agentic systems while owning the judgment, architecture, and customer relationships that AI cannot replace. We deliver faster and smarter than ever, and we own the outcome: initial value realization, adoption, and the long-term success of our customers. The Role As a Lead Deployment Architect - AI (known internally Lead Deployment Architect) you are the technical authority for our strategic accounts within Celonis delivery. You shape how Celonis solutions are designed, architected, and delivered across your portfolio of strategic customer engagements. You define what good delivery looks like - setting architectural standards, designing end-to-end solution strategies, and ensuring that AI-augmented and agentic workflows are deployed effectively at scale. You operate at the intersection of deep platform expertise, domain knowledge, and customer strategy. You are equally comfortable leading a technical design review with Celonis engineers and presenting a transformation roadmap to a customer's C-suite. You bridge the gap between pre-sales and post-sales, ensuring that what was promised can be delivered - and often shaping the promise itself. This role carries significant organizational leverage. You set delivery patterns that other teams follow. You define how AI agents should be orchestrated for complex, multi-workstream engagements. You work in close collaboration with Deployment Engineers and raise the bar for the entire practice. The Work You'll Do Solution Architecture & Design Support Services scoping in pre-sales, ensuring the right Services are positioned in line with the Celonis solution architecture proposed Design end-to-end Celonis solution architectures for complex enterprise deployments, spanning multiple process areas, business units, and geographies Define the technical blueprint for how the Celonis platform integrates with customer systems, data strategies, and transformation goals Designing secure, scalable architectures tailored to complex enterprise requirements, optimizing for long-term usage growth and high concurrency. Make architectural trade-off decisions: build vs. configure, custom vs. standard, phased vs. big-bang - with clear rationale tied to customer outcomes Own solution quality & outcome delivery across engagements, conducting design reviews, and ensuring delivery teams follow architectural standards AI Orchestration & Delivery Innovation Design how AI deployment agents (Apollo) should be used across complex, multi-workstream engagements, defining agent workflows, validation checkpoints, and quality gates Develop reusable specifications, templates, and patterns that enable Deployment Engineers to direct AI agents more effectively Pioneer new delivery approaches that leverage AI to compress timelines, improve quality, or unlock use cases that were previously impractical Set standards for AI output validation, ensuring the organization maintains quality as delivery accelerates Customer Strategy & Advisory Serve as the senior technical advisor to strategic customers, building trusted relationships with VP and C-level stakeholders Translate customer business challenges into Celonis platform strategies, identifying high-impact use cases and defining success metrics Support pre-sales by providing technical credibility in complex deals, validating solution feasibility, and shaping project scope Guide customers through their Process Intelligence maturity journey, advising on platform expansion, AI readiness, and organizational change Leverage the broader ecosystem of Celonis experts to remove potential blockers in customer engagements Establish deep, technical advisor relationships with customer stakeholders (Lead Data Engineers and Architects, Head of Data Intelligence, Head of Business Transformation) to provide technical reassurance and maintain "Expert-to-Expert" alignment during the course of the deployment Successful Implementation Work together with Deployment Engineers on delivery projects to implement the most complex and cutting edge use cases for our customers Stay on top of the newest technologies Celonis has to offer and own the implementation of early stage products for our customers, ensuring close feedback cycles with Product & Engineering Review Solution(s) Blueprint to ensure quality, scalability and production readiness of business critical and operational use cases Domain & Industry Depth Develop and maintain deep expertise in one or more process domains (e.g., Supply Chain, Order to Cash, Procure to Pay, IT Service Management) or industry verticals Translate domain knowledge into scalable solution patterns, reference architectures, and best practices that the broader team can leverage Proactively identify and standardize high-value use cases within your domain in collaboration with the Deployment Engineer, collaborating with Product and Business Apps teams to shape the platform roadmap Practice Development Contribute to hiring: define what great looks like for the Deployment job family, conduct interviews, and calibrate candidate assessments Share knowledge across the organization through internal enablement sessions, documentation, and community of practice leadership Ensure the link with Product & Engineering to feed customer insights and field experience back into platform development, and to influence the platform roadmap What Distinguishes This Role from Deployment Engineer Scope: You work across multiple engagements and shape solutions across a portfolio/cluster/industry vertical (4+ concurrent clients) Influence & Practice Development: your Scope allows you to identify and set standards that other teams follow - for solution architecture, AI orchestration patterns, and delivery quality Bridge: You span pre-sales and post-sales, ensuring continuity between what's sold and what's delivered Force multiplier: Your work multiplies the effectiveness of Deployment Engineers rather than substituting for it The Qualifications You Need Experience: 8+ years in technical consulting, solution architecture, or delivery leadership within enterprise software, consulting firms, or system integrators. At least 3 years in a senior or lead technical role with multi-stakeholder responsibility in large-scale projects at tier-1 organizations (e.g. digital twin implementations, global AI transformations, near-real-time data pipelines, etc.) Architecture skills: Proven ability to design complex, multi-component solutions that span data integration, process intelligence, automation, and AI, while remaining grounded in the "so-what" of a customer's process. Deep understanding of enterprise architecture patterns and trade-offs. Platform mastery: Expert-level knowledge of the Celonis platform, including the Process Intelligence Graph, data modeling, advanced PQL, automation and orchestration engine, and AI modules. Ability to push the platform's boundaries via a working knowledge of Python. AI & agent orchestration: Demonstrated ability to design AI-augmented delivery workflows leveraging frontier tooling (e.g., Claude Code, Codex, Cursor, etc.). Experience with context engineering, multi-agent system design, or AI validation at scale. Ability to define how AI should be used, not just use it. Domain expertise: Deep knowledge in at least one major process domain or industry vertical. Ability to translate domain expertise into scalable solution patterns and credible customer advisory. Customer executive presence: Track record of building trusted advisor relationships with VP and C-level stakeholders. Ability to present transformation strategies, defend architectural decisions, and navigate complex organizational dynamics. Demonstrated experience navigating complex IT landscapes and communicating technical trade-offs to senior leadership. Consulting & communication: Exceptional ability to translate between technical and business audiences. Experience leading workshops, design sessions, and strategic reviews with senior stakeholders. Leadership & mentoring: Demonstrated ability to raise the performance of teams around you. Experience mentoring technical staff, setting quality standards, and contributing to organizational capability development. Education: Bachelor's or Master's in Computer Science, Engineering, Technology Management, Business Informatics, or a comparable field. Languages: Fluency in English and German required. What Celonis can offer you: Pioneer Innovation: Work with the global leader in Process Mining and the Process Intelligence Graph to shape the future of AI-driven business operations. Ownership from Day 1: Every full-time "Celonaut" is an owner, receiving Restricted Stock Units (RSUs) and merit-based refresh grants. Unrivaled Family Support: Benefit from our inclusive parental leave policy—24 weeks of fully paid leave for primary carers and 12 weeks for supporting carers, available from your first day of employment. Work-Life Integration: Enjoy Unlimited PTO (in applicable regions) and generous PTO globally, as well as a flexible hybrid work model that balances remote focus with vibrant office collaboration. Continuous Growth: Elevate your skills through our 70-20-10 learning framework, mentorship programs, and access to a dedicated learning platform. Holistic Well-being: Prioritize your health with subsidized Wellhub memberships, mental health counseling, and dedicated "Wellness Weeks" that prioritize work/life balance. Drive Sustainability: Participate in annual Impact Days, where you receive paid time off to volunteer for community and environmental causes with your local office, or virtually. Global Inclusion & Belonging: Find community through our Inclusion Think Tank and participate in our annual Inclusion Days, ensuring every voice is heard and valued. Value-Driven Impact: Join a mission-led organization where our core values—Live for Customer Value, The Best Team Wins, We Own It, and Earth Is Our Future—drive every decision. About Us: Celonis is the trusted platform to industrialize Enterprise AI, empowering organizations to analyze, design, and operate AI-driven processes. The Celonis Platform is powered by the Celonis Context Model, which combines process data, business knowledge, and intelligence to create a living digital twin of the enterprise that AI can understand — turning AI's operational blind spots into operational clarity. Industry-leading companies around the world trust Celonis and its global ecosystem of partners to make their AI agents, people, systems, and processes work together, achieving transformational outcomes. Celonis is headquartered in Munich, Germany, and New York City, USA, with more than 20 offices worldwide. Get familiar with the Celonis Process Intelligence Platform by watching this video . Celonis Inclusion Statement: At Celonis, we believe our people make us who we are and that "The Best Team Wins". We know that the best teams are made up of people who bring different perspectives to the table. And when everyone feels included, able to speak up and knows their voice is heard - that's when creativity and innovation happen. Your Privacy: Any information you submit to Celonis as part of your application will be processed in accordance with Celonis' Accessibility and Candidate Notices By submitting this application, you confirm that you agree to the storing and processing of your personal data by Celonis as described in our Privacy Notice for the Application and Hiring Process . Use of Artificial Intelligence Tools We rely on an artificial intelligence tool to match the information from your resume to the relevant Celonis job descriptions. This processing is limited to the information provided in your resume or in your candidate profile. The tool produces a match score per candidate for a role, suggests preliminary ranking, and provides recommendations. The tool is only used for support in parts of the job application process, including to facilitate the identification of the relevant Celonis Jobs for candidates and recruiters. All final decisions are made by hiring managers and the Celonis talent acquisition team. Hiring managers and HR specialists use this tool responsibly, are aware of the risk of potential bias, and are equipped to mitigate it. Please be aware of common job offer scams, impersonators and frauds. Learn more here .

LILLE | AI-Native Group 🤖 Sharp Tech. Real Impact. 🧠 Ce qu'on recherche chez toi Tu n'as pas peur de : - Construire des pipelines data solides avec Python, SQL, FastAPI, Apache Spark…; - Maîtriser BigQuery, Dataflow, Composer et l'écosystème Google Cloud ; - Penser architecture data, monitoring, optimisation et scalabilité ; - Migrer des stacks legacy vers le cloud sans casser la prod ; - Expérimenter avec l'IA générative pour booster tes workflows data. Tu veux comprendre les enjeux business, pas juste faire tourner des ETL. 🛠️ Les projets sur lesquels tu pourrais t'amuser - Développer des applications de pilotage retail avec impact business direct ; - Migrer des infrastructures Hadoop vers Google Cloud en mode Lift & Shift ; - Créer des algorithmes ML temps réel pour optimiser la supply chain ; - Construire des dashboards Looker Studio qui changent la donne ; - Orchestrer des workflows complexes avec Airflow et Terraform. Bref, du concret, pas des PoC qui finissent au placard. 🤜🤛 Pourquoi nous rejoindre ? Management technique : ton Engineering Manager code aussi, sur de vrais projets clients. Recrutement exigeant : nos tests "PlayOffs" te positionnent expert·e dès ta première mission — et fixent ton salaire sur tes skills réels (le process). Apprentissage à fond : SFEIR Institute, 15 ans avec Google Cloud (Partner of the Year), AWS, Microsoft, Databricks, Snowflake… certifs et labs inclus. Culture libre : agile, décentralisée, sans chichis. Communauté qui vit : événements tech chaque semaine, 71 groupes thématiques, cercles engagés (Inclusivité, Green IT…). Ta trajectoire, ton choix : IC, management, Trainer, Speaker, Évaluateur·trice PlayOffs, Comité carrière annuel. L'après SFEIR : 83 % de nos alumni filent dans des boîtes où la tech compte. 💰 Combien tu vas gagner chez SFEIR ? À l'issue des PlayOffs, nos tests techniques, on sera en mesure de déterminer tes compétences, et surtout ton potentiel afin de te proposer une rémunération adaptée. Pour te donner une idée, la rémunération moyenne au sein de SFEIR Lille avec ton expérience démarre à 44 000€ brut par an. Ton salaire sera ensuite revalorisé chaque année. Tes compétences, rien que tes compétences ! 🔎 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 : l'IA agentique bien orchestrée permet une accélération massive 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.. 💪Ce qui fait notre force Tu veux builder des trucs puissants en quelques clics ? : Partenaire Anthropic Select au sein du volet Services du Claude Partner Network depuis le 1er juin 2026 ! 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…) 🧀 Et Lille dans tout ça ? Depuis 2014, SFEIR Lille, c'est : Une team de 100 techs passionnés et augmentés par l'IA, Une centaine de projets locaux à fort impact, Une forte présence sur la scène tech (50 confs en 2025 💥), Des locaux à 5 min des gares, Des afterworks, des Meetups, des formations, des talks… bref, de la vie. 🎯 En pratique Lieu : chez nos clients sur la métropole lilloise, Télétravail : 2 à 3 jours par semaine, Matos Premium : MacBook Pro ou Dell, en fonction de votre préférence. 🎮 La suite des événements Call avec Lisa, Gaëlle ou Khadija (nos recruteuses lilloises), Entretien RH personnalisé, PlayOffs (tests techs en pair prog avec 3 Sfeirians) Rencontre avec la team business, Final avec notre boss local, Delphine VILLAEYS. 🤩Ready to build the future ? Let's go ! Envoie-nous ton CV 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

LILLE | AI-Native Group 🤖 Sharp Tech. Real Impact. 🧠 Ce qu'on recherche chez toi Tu n'as pas peur de : - Architecturer des pipelines data robustes avec Python, SQL, dbt et Airflow ; - Jongler entre BigQuery, Snowflake, Databricks et les outils MLOps ; - Penser Data Quality, gouvernance, orchestration et optimisation de coûts ; - Transformer la donnée brute en insights business qui comptent ; - Expérimenter avec l'IA générative pour révolutionner tes workflows data. Tu veux comprendre comment ça marche, pas juste faire tourner des scripts. 🛠️ Les projets sur lesquels tu pourrais t'amuser - Construire des plateformes MLOps complètes sur Google Cloud ou Azure ; - Créer des algorithmes de machine learning pour optimiser les campagnes retail ; - Développer des pipelines temps réel pour le pilotage business de grands groupes ; - Intégrer l'IA générative dans tes workflows data pour automatiser et accélérer ; - Concevoir des architectures data cloud-native scalables. Bref, du concret, pas des ETL qui finissent par planter en prod. 🤜🤛 Pourquoi nous rejoindre ? Management technique : ton Engineering Manager code aussi, sur de vrais projets clients. Recrutement exigeant : nos tests "PlayOffs" te positionnent expert·e dès ta première mission — et fixent ton salaire sur tes skills réels ( le process ). Apprentissage à fond : SFEIR Institute, 15 ans avec Google Cloud (Partner of the Year), AWS, Microsoft, Databricks, Snowflake… certifs et labs inclus. Culture libre : agile, décentralisée, sans chichis. Communauté qui vit : événements tech chaque semaine, 71 groupes thématiques, cercles engagés (Inclusivité, Green IT…). Ta trajectoire, ton choix : IC, management, Trainer, Speaker, Évaluateur·trice PlayOffs, Comité carrière annuel. L'après SFEIR : 83 % de nos alumni filent dans des boîtes où la tech compte. 💰 Combien tu vas gagner chez SFEIR ? À l'issue des PlayOffs, nos tests techniques, on sera en mesure de déterminer tes compétences, et surtout ton potentiel afin de te proposer une rémunération adaptée. Pour te donner une idée, la rémunération moyenne au sein de SFEIR Lille pour un(e) data engineer expérimenté(e) avec ton expérience démarre à 48 000€ brut par an Ton salaire sera ensuite revalorisé chaque année. Tes compétences, rien que tes compétences !- 🔎 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 : l'IA agentique bien orchestrée permet une accélération massive 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.. 💪Ce qui fait notre force Tu veux builder des trucs puissants en quelques clics ? : Partenaire Anthropic Select au sein du volet Services du Claude Partner Network depuis le 1er juin 2026 ! 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…) 🧀 Et Lille dans tout ça ? Depuis 2014 , SFEIR Lille, c'est : Une team de 100 techs passionnés et augmentés par l'IA, Une centaine de projets locaux à fort impact, Une forte présence sur la scène tech (50 confs en 2025 💥), Des locaux à 5 min des gares, Des afterworks , des Meetups , des formations , des talks … bref, de la vie . 🎯 En pratique Lieu : chez nos clients sur la métropole lilloise, Télétravail : 2 à 3 jours par semaine, Matos Premium : MacBook Pro ou Dell, en fonction de votre préférence. 🎮 La suite des événements Call avec Lisa, Gaëlle ou Khadija (nos recruteuses lilloises), Entretien RH personnalisé, PlayOffs (tests techs en pair prog avec 3 Sfeirians) Rencontre avec la team business, Final avec notre boss local, Delphine VILLAEYS. 🤩 Ready to build the future ? Let's go ! Envoie-nous ton CV 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