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(FEQ128R2) The Role As a Specialist Solutions Architect (SSA) – Data Engineering, you are a hands-on technical authority who guides strategic customers in designing, building, and optimizing production-grade data workloads on the Databricks Data Intelligence Platform. Partnering closely with Account Teams and Solution Architects, you translate complex big data challenges into high-performance, scalable architectures using Apache Spark™ and modern streaming frameworks. In this role, you will drive successful implementations, align technical roadmaps to accelerate platform adoption, and establish deep domain specialization; whether in real-time streaming, performance optimization, or operational data layers, while expanding your impact across Field Engineering. The impact you will have: Drive Technical Wins & Scope: Lead end-to-end technical design, proof of concepts (PoCs), and workload sizing for strategic customer engagements, acting as a trusted advisor to front-line technical stakeholders to secure technical wins. Architect Production Data Systems: Design, build, and optimize scalable, high-performance batch and streaming pipelines, operational data layers (Lakebase), and end-to-end performance load testing on Databricks. Deploy Interactive Data Applications: Build and operationalize custom user-facing data applications using Databricks Apps, transforming data pipelines and AI models into interactive tools. AI-Native Engineering: Leverage AI coding assistants, LLMs, and agentic workflows (e.g., Genie Code, Cursor) as a force multiplier to rapidly prototype, debug, and deliver architectural assets with full ownership of outputs. Enablement & Domain Leadership: Mentor peers, contribute reusable architecture assets, and deliver technical workshops and community presentations to scale expertise across accounts and field teams. What we look for: Deep Data Engineering Expertise: 5+ years in data or software engineering with hands-on proficiency in distributed processing (Apache Spark™, Delta Lake, SDP) and real-time streaming technologies (Spark Streaming, Kafka, CDC). AI-First Builder Mindset: Demonstrated daily reliance on AI coding tools and LLMs to accelerate pipeline development, troubleshooting, and asset generation. Production Programming & Foundations: Strong production coding skills in Python, SQL, and Scala or Java, with a solid grasp of data modeling and system design fundamentals. Customer Advisory & Delivery: 5+ years in pre-sales or post-sales technical consulting, managing customer engagements and navigating multi-stakeholder technical discussions. Operational & HTAP Architectures: Practical experience with operational/transactional data layers (Postgres/OLTP), low-latency serving, reverse ETL, and hybrid transactional/analytical processing. Nice to haves: Cloud & Migration Mastery: Hands-on experience with major cloud platforms (AWS, Azure, GCP) and legacy data lake modernisation (e.g., Hadoop migration and cost optimisation). Application Experience: Background in constructing specialised data applications (e.g., risk modelling, fraud detection, customer lifetime value) across industries as a data expert. Ecosystem & Culture Contribution: Active track record of technical community engagement, public speaking, open-source contributions, or peer mentoring and interviewing. Flexibility & Travel: Ability to travel up to 30% for strategic customer engagements and internal alignment. Notes on the role: This will be an office-based contract (Amsterdam), with a hybrid schedule, requiring up to 30% travel when needed for customer visits, events & trainings. An initial 12-month fixed-term contract is to be offered, with the expectation of extending/converting to FTE upon successful completion of the probation period. #LI-hybrid About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone. Find more English Speaking Jobs in Netherlands on Arbeitnow

IN SHORT Are you a versatile problem-solver who wants to write software that impacts the physical world? As a Full Stack Software Engineer (100%) in Zurich, you will be at the core of our operations, building systems that touch everything from warehouse automation to customer-facing smart fridges. YOUR RESPONSIBILITIES Take ownership of warehouse and supplier web apps used daily for inbound processing, picking, labeling, and inventory. Develop and maintain our internal back-office tool, including the backend and GraphQL API that runs menus, deliveries, inventory, and customer sites. Manage the service connecting automated picking lanes to the rest of the system to ensure uninterrupted warehouse operations. Maintain and update the Point of Sale Android app running on hundreds of fridges, managing the release process for the entire fleet. Integrate and support payment systems (Card, TWINT), our ERP, and other partner integrations. Participate in the on-call rotation to debug live issues directly alongside the operations team. Visit the warehouse on-site to test changes and gather feedback from the people actually using the software. Translate vague problems from non-technical colleagues into shipped solutions without needing them broken down first. Own production deployments, managing logs, alerts, and careful rollouts with clear rollback plans. Break down larger features, review other engineers' pull requests, and proactively maintain system health through upgrades, testing, and cleanup. YOUR PROFILE Proven production experience in at least one typed backend language (such as C#, Java, Kotlin, Go, or TypeScript) and one modern frontend framework. Track record of successfully owning software in production, including on-call duties, debugging from logs, and resolving live issues while users wait. Familiarity with or willingness to dive into C#, TypeScript, Android, and Kotlin. Prior exposure to hardware, IoT, edge devices, payments, logistics, retail operations, or Odoo environments is highly advantageous. Demonstrated ability to dive into unfamiliar tech stacks, learn quickly, and ship reliable code. Strong passion for collaborating directly with end-users, including warehouse and operations staff, rather than exclusively with other engineers. High degree of curiosity and a proactive mindset to take full ownership of problems from end to end. Fluent English communication skills (written and spoken); knowledge of German or French is a plus. Non-smoker - we don't want you to smell like cigarettes, neither at work nor at customer meetings. After all, FELFEL is about good food. Valid work permit or Swiss passport. OUR BENEFITS Lots of delicious food, just a few steps away from your desk - we make your gastronomic dreams come true Best barista coffee and tea for the whole team, thanks to our innovative Gavetti coffee machine 5 weeks holiday per year, as well as the chance to buy an extra week of vacation Two full weeks of 'work from anywhere' per year to bring more variety to your work day We care about your future with an above-mandatory pension fund New parents get 16 or 3 weeks, respectively, of fully paid parental leave. We also support the return to work by making a generous financial contribution to childcare until the child reaches kindergarten age. We encourage our employees to use public transport by covering your half-fare travelcard Great team events, such as our well-known FELFEL Summer Outing Stay active and healthy with our weekly sports sessions Does this sound like the job for you? We can't wait to learn more about you! APPLY NOW with your complete documents in either German or English. ABOUT US FELFEL is all about good food and coffee in the workplace: we help Swiss employers become masters of hospitality. With our smart fridge 'FELFEL' and delicious barista coffee 'Gavetti', we enable companies to provide their employees with first-class, ultra-fresh food and drinks throughout the day. Whether hearty and traditional, modern and vegan or high in protein - our weekly changing menu ensures that all employees always have something to be excited about ;). FELFEL is a family business that was founded in 2013. Today, we take care of around 1000 locations in Switzerland, and have 150 employees across our offices in Lausanne, Zurich and New York. www.felfel.ch Find Jobs in Switzerland on Arbeitnow

Who is Sonar? Sonar is driving the future of agent-centric software development. As the leader in AI code verification and governance, we solve a critical problem: ensuring that software generated by AI-assisted developers or autonomous agents is reliable, secure, and maintainable. Integrating seamlessly with Claude Code, Codex, Cursor, GitHub Copilot, Gemini, and Devin, we help over 75% of the Fortune 100 build trusted, reliable, compliant software. Customers who use Sonar are 44% less likely to report an outage due to AI-generated code. We believe code verification is the critical missing link in the Agent-Centric Development Cycle (AC/DC). Industry giants like Nvidia, ServiceNow, Booking.com, Goldman Sachs, AstraZeneca, and Ford Motor Company count on us to provide independent, explainable, consistent review and governance of their AI-generated code via products like: SonarQube: The world's leading AI code review and verification platform. SonarQube Foundation Agent: Currently topping the leaderboards for agentic software repair. SonarSweep & Sonar Context Augmentation: Providing the enterprise-grade context and constraints agents need to be truly effective. Our team operates across global hubs in Austin, Bochum, Dubai, Geneva, London, Singapore, Tokyo, and Washington D.C. We move with a mindset we call CODE: Committed to our customers and community. Obsessed with quality. Deliberate in our decisions. Effective as one team. With over $400M in revenue and profitable, fast-paced growth, we are building the backbone of the AI software revolution. If you're hungry to have an impact, want to build at a fast pace, and ready to work at the forefront of AI, we want to hear from you. Position description We are looking for a skilled Software Engineer to join the CI Experience squad within our Code Orchestration department. The CI Experience squad enables users to analyze their projects in their own CI, making analysis a core part of their workflow. We have a mission to make analysis reliable, fast, configurable and developer-friendly. What you will do Collaborate with product managers, UX designers, and engineers to build the best CI-based analysis experience. Contribute well tested and production ready code. Participate in the on-call operation of analysis infrastructure, including feature deployments, production monitoring, incident response, and troubleshooting. Contribute to the definition of the team's short and long-term goals. Experience and qualifications MS in Computer Science (or equivalent experience). 0-3 years of professional software engineering experience. Proficiency with Java. Solid engineering fundamentals: data structures, algorithms, and the ability to reason about correctness and performance Nice to have Familiarity with a variety of build systems and CI runners. In-office culture We're intentional about this. We believe the best teams are built in the room together. Three anchor days — Mondays, Tuesdays, and Thursdays — create the collaboration rhythm that makes a hub office worth having. Candidates need to be genuinely based in the location the role is posted — if that's not where you are today, we're happy to support relocation for the right person. We value diversity, equity, and inclusion At Sonar, we believe that our diversity is our strength. We are a global company that values and respects different backgrounds, perspectives, and cultures. We are committed to fostering a diverse and inclusive work environment where everyone feels valued and empowered to contribute their best. We are proud to be an equal opportunity employer and welcome all qualified applicants, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. If you need any accommodation, please reach out to us at All offers of employment at Sonar are contingent upon the results of a comprehensive background check and reference verification conducted before the start date. Applications that are submitted through agencies or third party recruiters will not be considered. Find Jobs in Switzerland on Arbeitnow

Who We Are Founded in 2017, Unit8 is a fast-growing Swiss AI and data analytics consulting and services company dedicated to solving complex problems of traditional industries like automotive, chemical, financial services, manufacturing and pharma. We work with some of the biggest organizations in Europe to solve the challenges that directly affect their business - be it operations, finance, manufacturing or R&D. Since our foundation, we have successfully delivered more than 300 projects and have grown to 190+ talented individuals across 10 office locations. Unit8's mission is to drive the adoption of AI and Data Science in the non-digital industries and to help accelerate their digital transformation. Among its activities, Unit8 dedicates a part of its resources and time on projects that deeply matter to us - that includes collaboration on pro-bono and "engineering for good" causes. Requirements What You'll Do Unit8 is welcoming young graduates for the opportunity to grow in Data and Software Engineering! Join us for a 6-month paid professional experience in building industrial Data and AI solutions. You can start asap, with direct exposure to clients' needs and opportunities to participate in learning activities such as Reading Groups and Knowledge Sharing Sessions. In addition, each young graduate will be accompanied by a dedicated wingmate/mentor who will guide and help them build their technical growth vision. As a young graduate you will join a team of Data Scientists, Data Engineers and Cloud Engineers who work hand-in-hand with our customers on designing and implementing their industry-specific use cases. You will be directly involved in discussing the client's challenges and needs and will have chances to develop your client-facing skills. You will be responsible for developing, deploying, and automating our AI services and cloud infrastructure. You will also learn to carefully analyse a given problem and apply the relevant tools and techniques to solve it. In general you will: use software best practices in continuous integration and delivery, versioning and automation; use your skills to build and maintain service and data infrastructure; participate as junior engineer in all phases of the software development life cycle - planning, implementation, deployment, testing and maintenance; Are You the team member we are looking for? In order to be successful in this role, you are/have: motivated and eager to learn different aspects of engineering comfortable interacting with technical and business people strong communication and presentation skills recently graduated/finishing your MSc or BSc in Computer Science or related major; familiar with version control and collaboration tooling (git) familiar with CI/CD frameworks and automated deployment concepts (i.e Docker, K8s) fluent in both English and German available for a minimum of 32h a week. ready to start on the 1st of February Benefits What We Offer Exposure to a wide variety of projects, industries, and technologies. Each client is different and provides unique opportunities to learn. Ability to contribute to internal open-source projects like Darts ( https://github.com/unit8co/darts ) Learning activities such as ML Reading Group, knowledge sharing sessions with engineers. Training-on-the-job and your personal wingmate/mentor 15 paid days of holiday Be part of an international team of more than 20 nationalities. up to 10% of paid time for self-development. Flexible working hours, including some home office. Cross offices/company-wide frequent events like offsites. If you are successful, opportunity to be then hired for a permanent position. Find Jobs in Switzerland on Arbeitnow

About Us Harmattan AI is a next-generation defense prime building autonomous and scalable defense systems. Following the close of a $200M Series B, valuing the company at $1.4 billion, we are expanding our teams and capabilities to deliver mission-critical systems to allied forces. Our work is guided by clear values: building technologies with real-world impact, pursuing excellence in everything we do, setting ambitious goals, and taking on the hardest technical challenges. We operate in a demanding environment where rigor, ownership, and execution are expected. About the Role We are looking for a Computer Vision Engineer to contribute to the development of the front-end of our visual inertial odometry (VIO) algorithmic stack. Responsibilities VIO Front-end Algorithm development: Matching between frames and stereo pairs Calibration of cameras intrinsic and extrinsic parameters Detection of obstruction Implementation and optimization of the algorithmic stack for our embedded platforms Testing, Validation & Monitoring: algorithms testing in simulation and real-world environments, development of inspection and monitoring tools.. Cross-Team Collaboration: Work closely with system engineers, optical engineers, software engineers. Communicate findings effectively to stakeholders. Candidate Requirements Educational Background : Master's degree in Robotics, Physics, Computer Science or related field, PhD is a plus Technical Expertise : Strong mathematical foundations, coding skills in both Python and C++ Hands-on VIO project experience . Experience with VIO on industrial products is a huge plus. Passion for Computer Vision and Robotics Strong Communication & Teamwork : Ability to collaborate effectively with diverse teams Commitment : 100% dedication to Harmattan's mission, vision, and ambitious growth plans, ready to go the extra mile to ensure operational excellence. We look forward to hearing how you can help shape the future of autonomous defense systems at Harmattan AI. Find Jobs in Switzerland on Arbeitnow

About Us Harmattan AI is a next-generation defense prime building autonomous and scalable defense systems. Following the close of a $200M Series B, valuing the company at $1.4 billion, we are expanding our teams and capabilities to deliver mission-critical systems to allied forces. Our work is guided by clear values: building technologies with real-world impact, pursuing excellence in everything we do, setting ambitious goals, and taking on the hardest technical challenges. We operate in a demanding environment where rigor, ownership, and execution are expected. About the Role We are looking for a Computer Vision Engineer to contribute to the development of the front-end of our visual inertial odometry (VIO) algorithmic stack. Responsibilities VIO Front-end Algorithm development: Matching between frames and stereo pairs Calibration of cameras intrinsic and extrinsic parameters Detection of obstruction Implementation and optimization of the algorithmic stack for our embedded platforms Testing, Validation & Monitoring: algorithms testing in simulation and real-world environments, development of inspection and monitoring tools.. Cross-Team Collaboration: Work closely with system engineers, optical engineers, software engineers. Communicate findings effectively to stakeholders. Candidate Requirements Educational Background : Master's degree in Robotics, Physics, Computer Science or related field, PhD is a plus Technical Expertise : Strong mathematical foundations, coding skills in both Python and C++ Hands-on VIO project experience . Experience with VIO on industrial products is a huge plus. Passion for Computer Vision and Robotics Strong Communication & Teamwork : Ability to collaborate effectively with diverse teams Commitment : 100% dedication to Harmattan's mission, vision, and ambitious growth plans, ready to go the extra mile to ensure operational excellence. We look forward to hearing how you can help shape the future of autonomous defense systems at Harmattan AI. Find Jobs in Switzerland on Arbeitnow

Global Services helps Chainalysis customers turn blockchain data and investigative tools into practical results. Our customers include law enforcement, national security teams, financial institutions, and organisations across the crypto industry. We're looking for a Deployment Strategist, Crypto Investigations, to join Global Services and support public-sector customers in France, particularly law enforcement and intelligence teams. You'll use your investigative experience and technical skills to help customers get the most out of Chainalysis products. This is a hands-on, customer-facing role focused on investigations and practical problem-solving rather than software engineering. You'll work with customers throughout their engagement with Chainalysis, from understanding their needs and conducting investigations to developing workflows, delivering training, and helping them build their own capabilities. You'll need sound investigative judgement, strong French communication skills, and the ability to build trusted relationships with customers. In this role, you'll: Support customer engagements from initial discovery and pre-sales through investigations, solution delivery, training, and ongoing support Conduct blockchain investigations using Chainalysis products, particularly Reactor Work with law enforcement, intelligence, and other public-sector customers to understand their objectives and help them achieve practical results Build and adapt investigative workflows, queries, reports, and dashboards using Chainalysis tools and data Help customers put investigative workflows into practice and develop the skills to use Chainalysis independently Build trusted customer relationships by providing practical investigative guidance and product expertise Lead customer meetings, demonstrations, investigative walkthroughs, training sessions, and technical briefings Support pre-sales discussions by understanding customer requirements and explaining how Chainalysis can help Share customer feedback and investigative insights with Product, Engineering, Global Intel, and Sales Share investigative techniques and best practices with colleagues across Global Services We're looking for candidates who have: Experience conducting or supporting investigations in law enforcement, policing, intelligence, or a related field. Candidates with relevant crypto or financial-crime investigation experience from other backgrounds will also be considered Experience working with public-sector, law-enforcement, intelligence, or other mission-focused stakeholders Strong investigative judgement and the ability to explain findings clearly and build credibility with customers The technical aptitude to learn investigative platforms and work with data; extensive software-engineering experience is not required The ability to analyse complex information and communicate findings to both investigators and senior stakeholders The flexibility to work across pre-sales, customer delivery, and ongoing support Fluency in French, with the ability to work confidently with French-speaking customers The ability to be based in France, ideally in Paris Required Skills Technical Skills Confidence using investigative tools and the ability to develop expertise in Chainalysis Reactor Ability to work with investigative data and turn customer requirements into practical workflows, queries, and reports Familiarity with blockchain investigation tools or analytical workflows is an advantage; Python and SQL are not required Ability to learn Chainalysis products and understand how their data can support customer investigations Domain Expertise Experience in law enforcement, policing, intelligence, financial crime, or another relevant investigative field Understanding of investigative objectives, operational workflows, and the outcomes customers need to achieve Ability to use investigative judgement to guide an investigation and advise customers on their approach Customer & Communication Skills Ability to build trusted customer relationships through investigative knowledge and practical support Excellent spoken and written French, including the ability to explain complex investigative concepts clearly Confidence leading customer meetings, briefings, demonstrations, and training sessions Ability to help customers develop their own skills and use Chainalysis tools independently Day to Day Activities Conduct investigations using Chainalysis tools, primarily Reactor, based on customer requirements Prepare investigative reports, workflows, queries, and other analytical outputs Work directly with customers to develop and implement investigative workflows Deliver hands-on training, walkthroughs, and knowledge-sharing sessions Lead demonstrations, investigative briefings, and solution presentations Support pre-sales discussions, technical discovery, and solution scoping Gather customer feedback and share practical recommendations with Product, Engineering, and Global Intel Manage multiple customer engagements while maintaining quality and responsiveness Continue developing knowledge of blockchain investigations and emerging crypto-related threats Personal Attributes Curious about blockchain technology, crypto crime, and investigative techniques Able to communicate clearly and adapt to different audiences Comfortable taking ownership and making sound decisions in situations where the path forward may not be clear Collaborative and willing to work across teams Keen to develop specialist knowledge and share it with others Nice to have experience: [icing on the cake, not a deal breaker] Previous experience using Chainalysis products Experience with cryptocurrency investigations, blockchain analytics, or financial-crime analysis Experience in traditional finance or financial investigations Experience providing expert evidence or supporting legal proceedings Familiarity with compliance frameworks such as BSA/AML, sanctions screening, MiCA, or the Travel Rule Experience with data platforms such as Databricks, Snowflake, or cloud-based analytics tools Published research, intelligence reports, or other work relating to blockchain analytics or financial crime AI at Chainalysis AI is not a feature at Chainalysis - it is a new way of working. One that turns instructions into work done, and helps us move faster than the threats we're built to counter, and we expect our employees to take ownership of the output and ensure quality. As the world's most trusted blockchain analytics platform, Chainalysis sits at a rare intersection of proprietary data, regulatory relationships and crypto expertise that makes it uniquely placed to shape and lead the next era of AI-driven intelligence - and we expect everyone here, regardless of role, to be an active part of it. AI fluency is tied directly to how we measure performance and how we plan to win. There is no substitute for your own curiosity. We provide the tools, workflows, and space to experiment - but the expectation is that you develop these capabilities yourself, bring ideas, and collaborate across teams to reinvent the way work gets done. We are not using AI to do less. We are using it to do what was never possible before. About Chainalysis Chainalysis is the blockchain data platform, making it easy to connect the movement of digital assets to real-world services. Powered by deep blockchain data and AI, organizations can investigate illicit activity, manage risk exposure, and develop innovative market solutions built on the industry's most trusted blockchain intelligence. Our mission is to build trust in blockchains, blending safety and security with an unwavering commitment to growth and innovation. You belong here. At Chainalysis, we believe that diversity of experience and thought makes us stronger. With both customers and employees around the world, we are committed to ensuring our team reflects the unique communities around us. We're ensuring we keep learning by committing to continually revisit and reevaluate our diversity culture. We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. If you need any accommodations to make our interview process more accessible to you due to a disability, don't hesitate to let us know. You can learn more here . We can't wait to meet you. Compensation: €130K • Offers Equity • Offers Bonus • €130K • Offers Equity • Offers Bonus Find more English Speaking Jobs in France on Arbeitnow

The Continuous Profiler ( https://www.datadoghq.com/blog/continuous-profiling-fourth-pillar/ ) team at Datadog is building a cutting-edge continuous profiling product that has low enough overhead to run continuously in production, unlocking insights into how customer applications perform under real workloads at scale. As AI reshapes software development and teams lose touch with how their code works and interacts with the hardware, this capability is becoming more essential than ever, for humans and AI alike. Today the information produced by our profilers is used for everything from automatic performance tuning to root cause analysis. As a distributed systems engineer on the profiling team, you will be contributing to the systems that intake, process, index, store and make sense of the data collected. You will be working with some of the best runtime engineers, visualization experts, data scientists and designers in the industry on challenging and fun problems. Together, we contribute to runtime ecosystems such as Go ( https://opensource.datadoghq.com/projects/go/ ) and tackle novel problems, from profiling asynchronous Python applications ( https://www.datadoghq.com/blog/engineering/async-python-profiler/ ) to helping customers solve memory leaks in their applications ( https://www.datadoghq.com/blog/memory-leak-workflow/) . At Datadog, we place value in our office culture: the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them. What You'll Do: ● Help design, build and contribute to the core services making the profiling product possible, at a scale that is unusual even within Datadog. ● Participate in multi-disciplinary squads, and iterate with customers, to bring ideas all the way from early explorations to impactful product experiences. ● You will be responsible for your code from development to production, and meet ambitious SLO and quality gates. ● You will be working with many internal and external stakeholders, working on various ways to consume the profiling data, such as the UI, agentic tools, internal applications, integrations and partner products. Who You Are: ● Experience with Java and/or Go essential. ● Distributed systems engineer with experience building high performance large scale systems. ● Excellent communication skills (English). ● Ability to meaningfully review architectural proposals and guide technical trade-offs in a complex product space. ● Experience working with AI coding agents to produce performant and maintainable results. ● Experience collaborating with distributed teams. ● Working knowledge of statistical methods, such as sampling strategies, bayesian optimization, sensor fusion etc (nice to have). Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you're passionate about technology and want to grow your skills, we encourage you to apply. Benefits and Growth: ● New hire stock equity (RSUs) and employee stock purchase plan (ESPP) ● Continuous professional development, product training, and career pathing ● Intradepartmental mentor and buddy program for in-house networking ● An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups) ● Access to Inclusion Talks, our Internal panel discussions ● Free, global mental health benefits for employees and dependents age 6+ ● Competitive global benefits Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. About Datadog: Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram , LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form . This form is for accommodation requests only and cannot be used to inquire about the status of applications. Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog's Applicant and Candidate Privacy Notice . For information on our AI policy, please visit Interviewing at Datadog AI Guidelines . Find Jobs in France on Arbeitnow

L'équipe Worldwide Offer recrute son/sa futur·e Engineering Manager à Lille ! Au coeur de la unit Digital Sport, en relation directe avec les différentes marques de sport de Decathlon (Kipsta, Domyos, Quechua, ...) et le CoE Offer, le Domaine Sport Process met en place des produits et méthodes qui permettent à chaque responsable utilisateur, chaque pays, chaque équipe, d'identifier, choisir, créer, co-développer les meilleurs produits pour nos sportifs. Au sein de cet écosystème, l'équipe Worldwide Offer permet aux Sports d'imaginer les meilleures offres de produits sportifs et services possibles. De la connaissance du marché guidant la définition de l'architecture des sports au référencement et au pilotage de l'Offre Worldwide, nos solutions digitales sont le véritable moteur de l'innovation produit chez Decathlon. TA FUTURE CONTRIBUTION AIDE LE·A CANDIDAT·E À SE PROJETER DANS L'ENVIRONNEMENT DECATHLON Tu seras responsable d'animer hiérarchiquement 3 feature teams, totalisant 12 Software Engineers. Tu collaboreras étroitement avec les métiers du Produit, de la Data & IA et du Design pour arbitrer entre enjeux business et faisabilité technique. Ton rôle : faire grandir les collaborateurs, construire le plan humain de l'équipe, piloter le delivery des roadmaps 2027, assurer la qualité de données d'un système mondial et apporter de nouvelles solutions digitales qui transformeront le quotidien des sports : connaissance marché, catalogue d'offre, définition de l'usage des produits, plateforme de co-création. Tu seras le garant de la cohérence des choix techniques avec la stratégie Offer Worldwide de Decathlon tout en optimisant la performance et la collaboration de ton équipe. STACK TECHNIQUE Frameworks (full stack) : Java Spring Boot, NodeJS, PHP Symfony, ReactJS Architecture : Event-Driven (Kafka, Kafka Streams, pattern Outbox). Cloud & Ops : Kubernetes, Postgres, Helm, Datadog. Testing & Data : Cypress, Amplitude. CE QUE TU APPORTES Tu disposes d'un socle solide en ingénierie logicielle et tu as déjà une expérience dans le leadership technique et humain. Expert·e en gestion du delivery, tu sais créer des roadmaps et influencer tes parties prenantes. Tu excelles dans l'accompagnement des parcours de carrière (coaching, feedback) et tu as une réelle sensibilité business pour aligner la technique sur les KPIs de croissance d'un produit global. Tu as un sens du service fort, tu sais engager tes équipes et célébrer les victoires, tu possèdes des fortes soft skills pour permettre au collectif Digital Offer de performer! CE QUE NOUS T'OFFRONS Organisation de travail hybride ; Bureaux à Lille (Decathlon Digital) ; Accompagnement dans le développement de tes compétences managériales et techniques ; Matériel au choix (Mac ou Windows) ; Package de rémunération (participation, bonus mensuels/trimestriels). DECATHLON DIGITAL Imaginez si la technologie nous permettait de repousser les frontières et d'offrir des expériences sportives inédites. C'est précisément notre ambition chez Decathlon Digital ! Nous sommes une équipe de plus de 5 000 experts en ingénierie logicielle, gestion de produits, données, cloud et cybersécurité, répartis à Paris, Lille et Amsterdam. Ensemble, nous créons la plus vaste plateforme sportive numérique, en exploitant les innovations technologiques pour optimiser la chaîne de valeur, concevoir des expériences connectées et donner une seconde vie à nos produits. Changeons la donne pour de bon. Notre passion du sport nous guide et nous voulons qu'elle perdure. C'est pourquoi nous nous engageons à bâtir un modèle technologique plus durable, en réduisant notre impact direct sur l'environnement, et en créant un espace sûr et inclusif pour apprendre et nous épanouir ensemble. Rejoins l'équipe et façonnons le futur du sport. Find more English Speaking Jobs in France on Arbeitnow

Notre Team Data Observability recherche un·e Senior Software Engineer basé·e à Lille ou Paris. Au cœur de l'entité Decathlon Digital, nous recherchons nos futur.es Senior Software Engineer pour rejoindre les équipes Data Factory. Cette plateforme technologique, globale à tout le groupe de manière internationale, soutient le développement de l'usage de la Data chez Decathlon, du calcul du chiffre d'affaires à l'aide de conception de produits innovants. Nous opérons une Modern Data Stack de pointe, avec un Lakehouse comme centre de gravité. Notre mission ? Garantir la scalabilité, l'automatisation et l'excellence des pratiques de développement pour l'ensemble de nos communautés (Data Engineers, Analysts, Scientists). Notre équipe Data Observability est une brique essentielle de cette mission. Organisée autour de 3 axes clés, l'équipe Data Observability est chargée d'exposer le patrimoine de donnée de Decathlon ainsi que sa maturité au travers du Data cockpit. Nous mettons également à disposition les données core essentielles de lineage, de qualité et d'usage. Nous sommes une équipe qui valorise la collaboration, la montée en compétences et l'impact concret. TA FUTURE CONTRIBUTION En tant que Senior Software Engineer au sein de l'équipe Data Observability, tu joueras un rôle clé dans la création et l'optimisation du data cockpit (alpha) pour nos équipes data platform, analytiques métier et pays. Notre mission est de créer la plateforme de discoverabilité et d'observabilité des données au sein de Decathlon (maturité de donnée, usage, lineage). Nous travaillons sur le produit qui répond à cette vision, le data cockpit . Tes responsabilités comprendront : Leadership technique sur le data cokpit : Tu reprendras la stack technique pour le backend et le frontend du data cockpit et tu seras accompagnés de Data Engineer qui mette à disposition les jeux de données nécessaires au bon fonctionnement du produit. Data Governance automatisé : Tu prendras part à la mise en place de cette nouvelle approche au travers des data contract et du data cockpit. Compréhension des besoins fonctionnels : Proactivité dans l'analyse du besoin et la compréhension du quotidien des utilisateurs qu'on accompagne et de leur stakeholders. Support et accompagnement : Agir en tant qu'expert pour guider les équipes data dans l'utilisation correcte et efficace de nos produits d'observabilité Promotion des bonnes pratiques : Contribuer activement à l'amélioration continue de nos méthodes de travail (mob programming, TDD, documentation robuste...) pour élever les standards techniques de l'équipe. Excellence opérationnelle : Mettre en œuvre des solutions de monitoring et d'automatisation pour réduire considérablement la charge de travail manuelle et améliorer l'efficacité globale de l'équipe. L'équipe est composée de : 1 Product Manager 4 Data Engineers STACK TECHNIQUE Javascript : typescript Cloud : AWS / Aiven Queuing : Kafka DB : PostgreSQL (Aurora) Open Source framework : Great expectations, Open Lineage CI/CD : Github, Github actions, Docker, K8s Observability : Datadog, Prometheus, Grafana CE QUE TU APPORTES Nous recherchons un(e) Senior Full Stack Engineer avec une appétence pour comprendre les processus métiers , tourné(e) vers nos utilisateurs, en parallèle de solides compétences techniques. Compétences techniques : Expérience en programmation réactive Expérience significative dans le design, l'implémentation de bout en bout de solution solutions en mode micro-service Bonne connaissance des outils de monitoring et d'alerting. Une connaissance approfondie des systèmes de contrôle de version et d'intégration continue ( Git/Github ). Compétences interpersonnelles et de collaboration : Excellentes compétences en communication et documentation ainsi que d'un fort sens du service , avec une approche centrée sur l'utilisateur en suivant une logique Produit . Tu t'épanouis dans un environnement de travail agile et collaboratif (mob programming, revues de code...). Ta maîtrise de l' anglais te permet d'interagir facilement avec nos équipes et partenaires internationaux. CE QUE NOUS T'OFFRONS 2 jours de télétravail par semaine ; Possibilité de travailler dans l'un des bureaux de Decathlon Digital à Lille ou Paris ; Matériel performant fourni en accord avec tes missions et nos engagements sociétaux (Mac, Windows, ou Chromebooks) ; Une équipe de projet locale au sein d'un réseau mondial (possibilité de carrière internationale) ; Développement des compétences et accompagnement (diversité des projets, certifications techniques dès la première année, formations internes et externes, etc.) ; Package de rémunération (participation des employés aux actions de l'entreprise, bonus mensuels/trimestriels). Ready to Play? Si tu es un·e data enthusiast (Software engineer) passionné·e par les enjeux de gouvernance et traçabilité de donnée et motivé·e à construire un produit digital robuste et à fort impact, nous serions ravi·es de te rencontrer. Rejoins-nous pour rendre le sport accessible à tou·tes, grâce à la data ! DECATHLON DIGITAL Imaginez si la technologie nous permettait de repousser les frontières et d'offrir des expériences sportives inédites. C'est précisément notre ambition chez Decathlon Digital ! Nous sommes une équipe de plus de 5 000 experts en ingénierie logicielle, gestion de produits, données, cloud et cybersécurité, répartis à Paris, Lille et Amsterdam. Ensemble, nous créons la plus vaste plateforme sportive numérique, en exploitant les innovations technologiques pour optimiser la chaîne de valeur, concevoir des expériences connectées et donner une seconde vie à nos produits. Changeons la donne pour de bon. Notre passion du sport nous guide et nous voulons qu'elle perdure. C'est pourquoi nous nous engageons à bâtir un modèle technologique plus durable, en réduisant notre impact direct sur l'environnement, et en créant un espace sûr et inclusif pour apprendre et nous épanouir ensemble. Rejoins l'équipe et façonnons le futur du sport. Find more English Speaking Jobs in France 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 About the job Lead the design, development, and adoption of AI systems within a strategic business domain. You will combine deep AI engineering expertise with product and business understanding to identify high-impact opportunities, define roadmaps, and deliver measurable outcomes. As the AI technical lead for your domain, you will drive architecture decisions, engineering excellence, and AI adoption across teams and stakeholders. Examples of domains include: Sales, GTM and Marketing or Finance & Legal This is a permanent position (CDI) based in Paris or Bordeaux, with 4 days on-site per week. Why Now, Why Mirakl Generative AI and AI Agents are fundamentally reshaping commerce software and the way our teams work on a day to day basis. At Mirakl, AI is becoming a core part of our product strategy. From Catalog Transformer and content generation to AI Agents and Agentic Commerce, we are building the next generation of commerce software. And we have the same ambition for our teams around AI products and adoption. We are looking for a Lead AI Engineer to transform cutting-edge AI technologies into reliable, scalable, and measurable products used by leading enterprises worldwide. You won't be joining a company that's thinking about AI. You'll be joining one that's already building it. What You'll Do 1. Own Tech Strategy for Your Domain Identify high-value opportunities with Business leaders Define the Tech vision and own the agent product roadmap for your domain 2. Lead AI System Development Design and build production-grade AI systems Drive architecture decisions Ensure scalability, reliability, and maintainability 3. Drive Adoption & Business Impact Work closely with end users Measure adoption and outcomes Accelerate AI transformation across your domain 4. Establish Technical Excellence Promote best practices for evaluation, testing, guardrails, and observability Review designs and mentor engineers Raise the quality bar across initiatives 5. Grow AI Capability Mentor AI Engineers and Agent Builders Share knowledge and reusable components Build AI expertise within your organization Success Metrics Business impact delivered by AI initiatives Adoption within the domain Technical quality and reliability Team capability growth Our stack and tools Languages: Python and SQL AI Stack: OpenAI, Anthropic, Gemini, Mistral and Open-source models Agentic & Retrieval: LangGraph, LangChain, LlamaIndex, MCP and Vector Databases Infrastructure: AWS or GCP, Docker and Kubernetes You'll Love This Job If you have 7+ years in Software Engineering, ML Engineering, or Applied AI Strong experience with LLMs, RAG, AI Agents, evaluation, and production systems Ability to influence Product and Business decisions Proven leadership on complex cross-functional initiatives Feel free to add a link to your GitHub in your CV so we can understand what you have worked on! Want to join us? Here is our process A 30-40 min phone conversation with one of our Tech recruiters. This will be an opportunity to discuss your background, expectations, and discover what Mirakl can offer you in return. An initial 1 hour technical discussion with a member of the Data Science team and Engineering Team, which will allow you to delve into the more specific aspects of your expertise and discover how your skills can be integrated into our projects. 2 x 45-minute "STAR" interviews with future Mirakl colleagues to discuss our values and company culture. 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 Jobs in France 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 About the job Lead the design, development, and adoption of AI systems within a strategic business domain. You will combine deep AI engineering expertise with product and business understanding to identify high-impact opportunities, define roadmaps, and deliver measurable outcomes. As the AI technical lead for your domain, you will drive architecture decisions, engineering excellence, and AI adoption across teams and stakeholders. Examples of domains include: Sales, GTM and Marketing or Finance & Legal This is a permanent position (CDI) based in Paris or Bordeaux, with 4 days on-site per week. Why Now, Why Mirakl Generative AI and AI Agents are fundamentally reshaping commerce software and the way our teams work on a day to day basis. At Mirakl, AI is becoming a core part of our product strategy. From Catalog Transformer and content generation to AI Agents and Agentic Commerce, we are building the next generation of commerce software. And we have the same ambition for our teams around AI products and adoption. We are looking for a Lead AI Engineer to transform cutting-edge AI technologies into reliable, scalable, and measurable products used by leading enterprises worldwide. You won't be joining a company that's thinking about AI. You'll be joining one that's already building it. What You'll Do 1. Own Tech Strategy for Your Domain Identify high-value opportunities with Business leaders Define the Tech vision and own the agent product roadmap for your domain 2. Lead AI System Development Design and build production-grade AI systems Drive architecture decisions Ensure scalability, reliability, and maintainability 3. Drive Adoption & Business Impact Work closely with end users Measure adoption and outcomes Accelerate AI transformation across your domain 4. Establish Technical Excellence Promote best practices for evaluation, testing, guardrails, and observability Review designs and mentor engineers Raise the quality bar across initiatives 5. Grow AI Capability Mentor AI Engineers and Agent Builders Share knowledge and reusable components Build AI expertise within your organization Success Metrics Business impact delivered by AI initiatives Adoption within the domain Technical quality and reliability Team capability growth Our stack and tools Languages: Python and SQL AI Stack: OpenAI, Anthropic, Gemini, Mistral and Open-source models Agentic & Retrieval: LangGraph, LangChain, LlamaIndex, MCP and Vector Databases Infrastructure: AWS or GCP, Docker and Kubernetes You'll Love This Job If you have 7+ years in Software Engineering, ML Engineering, or Applied AI Strong experience with LLMs, RAG, AI Agents, evaluation, and production systems Ability to influence Product and Business decisions Proven leadership on complex cross-functional initiatives Feel free to add a link to your GitHub in your CV so we can understand what you have worked on! Want to join us? Here is our process A 30-40 min phone conversation with one of our Tech recruiters. This will be an opportunity to discuss your background, expectations, and discover what Mirakl can offer you in return. An initial 1 hour technical discussion with a member of the Data Science team and Engineering Team, which will allow you to delve into the more specific aspects of your expertise and discover how your skills can be integrated into our projects. 2 x 45-minute "STAR" interviews with future Mirakl colleagues to discuss our values and company culture. 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 Jobs in France on Arbeitnow