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👾 Tu as l'âme d'un vibe coder ? Tu développes avec Claude Code ouvert en permanence, tu prompts plus vite que ton ombre et tu penses que l'IA va complètement transformer le métier de Data Engineer ? Welcome chez SFEIR Nantes. 🧠 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, Kafka ou les outils MLOps, penser Data Quality, gouvernance, observabilité, orchestration et optimisation des coûts, transformer des datasets complexes en plateformes réellement exploitables, expérimenter avec l'IA générative pour réinventer les workflows data. Tu veux comprendre ce qu'il se passe sous le capot. Pas juste lancer des jobs. 🛠️ Les projets sur lesquels tu pourrais t'éclater Construire des plateformes Data & AI cloud-native sur Google Cloud, Développer des pipelines temps réel pour piloter des activités critiques, Industrialiser des architectures MLOps et LLMOps, Concevoir des systèmes RAG connectés aux données métiers, Intégrer l'IA générative dans des workflows analytics et data engineering, Participer à des projets mêlant Data, IA, Cloud et software engineering, 🚀 Pourquoi rejoindre SFEIR Nantes ? Parce qu'ici, la tech passe avant le bullshit. Tu rejoins une communauté où les décisions techniques sont prises par des engineers et où le partage de connaissances fait partie du quotidien. Chez SFEIR Nantes : ton Engineering Manager code, les architectes restent proches du terrain, les talks sont animés par les équipes, et les communautés tech vivent toute l'année. Tu évolues dans une vraie "Skill-Based Organization" : ta progression dépend de ce que tu sais construire, transmettre et faire grandir. 🚀 Ce que tu trouveras chez nous Un vrai management technique, Une communauté active autour de la Data, de l'IA et du Cloud, Des meetups, labs, talks et formations internes toute l'année, Un accès à SFEIR Institute et aux certifications Google Cloud / AWS, Des trajectoires d'évolution variées : IC, Staff Engineer, Engineering Manager, Trainer, Speaker… Une forte culture du craft, de l'architecture et du partage. 🤖 Notre botte secrète : RAISE & SFEIR AI Chez SFEIR, maîtriser l'IA n'est plus une option. Tu auras accès à RAISE, notre plateforme GenAI interne multi-LLM, utilisée par nos équipes pour : accélérer les workflows data, construire des assistants IA connectés aux données métiers, expérimenter rapidement autour des LLMs, développer des usages RAG et agents IA, et industrialiser des solutions concrètes. ✨ Qui sommes-nous ? SFEIR est un pure player du digital, du Cloud, de la Data et de l'IA générative. 900 techs en France, Belgique et Luxembourg qui partagent la même ambition : coder, apprendre, transmettre et construire des produits qui comptent. 🌊 Et Nantes dans tout ça ? SFEIR Nantes, c'est : une communauté tech en pleine croissance, des projets Data & AI à fort impact, une présence forte dans l'écosystème nantais, des speakers présents sur les grands événements tech, des locaux à La Cantine Numérique au cœur de l'Île de Nantes, des talks, afterworks, meetups et SFEIR School toute l'année. Ici, on aime autant débattre d'architecture data que comparer les meilleurs prompts pour optimiser un pipeline IA 😄 🎯 En pratique Localisation : Nantes Télétravail : 2 à 3 jours par semaine Stack fréquente : Python, SQL, dbt, Airflow, BigQuery, Databricks, Kafka, GCP, Vertex AI, Docker, Kubernetes, APIs LLM, RAG 🎮 La suite des événements Premier échange avec l'équipe recrutement, Entretien RH personnalisé, PlayOffs techniques en pair programming avec des Sfeirien·ne·s, Rencontre avec l'équipe business, Échange final avec le management local. 🤩 Ready to build the future of Data & AI with us ? Tu veux construire des plateformes data modernes avec une team passionnée, dans une boîte où la technique est réellement au centre ? Viens discuter avec nous 🚀 SFEIR collecte vos données à caractère personnel afin de traiter votre candidature. Pour en savoir plus sur la gestion de vos données personnelles et pour exercer vos droits, nous vous invitons à consulter notre Politique de confidentialité . Find Jobs in France on Arbeitnow

🚀 Senior Data Engineer (F/H) 👾 Tu as l'âme d'un vibe coder ? Tu développes avec Claude Code ouvert en permanence, tu prompts plus vite que ton ombre et tu penses que l'IA va profondément transformer le métier de Data Engineer ? Bienvenue chez SFEIR Niort. 🤔 C'est quoi SFEIR ? SFEIR, c'est avant tout une communauté de 900 techs en France, Belgique et Luxembourg, réunis autour d'une même passion : construire des solutions modernes, apprendre et transmettre. Nous accompagnons nos clients sur : 🔹 Le développement d'applications web & mobiles ; 🔹 Les architectures Cloud, Platform Engineering et Data ; 🔹 L'IA générative et les nouveaux usages augmentés ; 🔹 Les meilleures pratiques Software Engineering et Cloud Native. 🚀 Pourquoi les ingénieurs rejoignent aussi SFEIR aujourd'hui SFEIR est partenaire officiel d'Anthropic et également partenaire Premium Google Cloud. Pour nos ingénieurs, cela signifie être au plus près des évolutions du Cloud et de l'IA générative, développer une expertise concrète sur les nouveaux usages de l'IA appliqués au développement logiciel et expérimenter les outils qui transforment déjà le métier d'ingénieur. Nous sommes convaincus que, dans les années à venir, les profils les plus recherchés seront ceux capables de combiner excellence technique et maîtrise des outils d'IA. D'ici quelques années, les Data Engineers augmentés et les AI Engineers seront au cœur des transformations du secteur. Chez SFEIR, nous t'accompagnons dans cette évolution grâce aux meilleurs outils du marché, à nos expertises terrain et à une communauté qui expérimente déjà ces nouveaux usages au quotidien. Une opportunité unique d'évoluer dans un environnement où innovation, Data Engineering et IA avancent ensemble. 🌊 Et Niort dans tout ça ? SFEIR ouvre une nouvelle aventure à Niort 🚀 L'objectif ? Construire une vraie communauté tech locale autour de la Data, du Cloud et de l'IA. Rejoindre SFEIR Niort aujourd'hui, c'est : 🔹 Participer à la création d'une nouvelle agence ; 🔹 Avoir un impact concret sur la dynamique locale ; 🔹 Rejoindre une structure à taille humaine avec la puissance d'un groupe de 900 techs ; 🔹 Construire une communauté tech forte dans un bassin stratégique autour de l'assurance et des grands SI ; 🔹 Participer à des projets modernes mêlant Data, IA, Cloud et Software Engineering. Bref, tu ne rejoins pas juste une mission. Tu participes à construire quelque chose. 🧠 Ce qu'on recherche chez toi Tu n'as pas peur de : 🔹 Architecturer des pipelines data robustes avec Python, SQL, dbt et Airflow ; 🔹 Travailler avec BigQuery, Snowflake, Databricks, Kafka ou les outils MLOps ; 🔹 Penser Data Quality, gouvernance, observabilité, orchestration et optimisation des coûts ; 🔹 Construire des plateformes de données fiables, performantes et évolutives ; 🔹 Participer à l'industrialisation des usages IA et Data ; 🔹 Transformer des datasets complexes en produits data exploitables ; 🔹 Expérimenter les nouveaux usages de l'IA appliqués à la Data. Tu veux comprendre ce qu'il se passe sous le capot. Pas juste lancer des jobs. 🛠️ Les projets sur lesquels tu pourrais t'éclater 🔹 Construire des plateformes Data & AI cloud-native sur Google Cloud ; 🔹 Développer des pipelines batch et temps réel à forte volumétrie ; 🔹 Industrialiser des architectures MLOps et LLMOps ; 🔹 Concevoir des systèmes RAG connectés aux données métiers ; 🔹 Intégrer l'IA générative dans les workflows analytics et data engineering ; 🔹 Participer à des projets mêlant Data, IA, Cloud et Software Engineering ; 🔹 Construire les plateformes de données de demain pour les grands acteurs de l'assurance. Bref, du concret. 🤖 Notre botte secrète : RAISE & SFEIR AI Chez SFEIR, maîtriser l'IA n'est plus un bonus. Tu auras accès à RAISE, notre plateforme GenAI interne multi-LLM, utilisée par nos équipes pour : 🔹 Accélérer les workflows data ; 🔹 Construire des assistants IA connectés aux données métiers ; 🔹 Expérimenter rapidement autour des LLMs ; 🔹 Développer des usages RAG et agents IA ; 🔹 Industrialiser des solutions IA concrètes. 👌 Comment on va t'aider à progresser 🔹 Des échanges réguliers avec ton Engineering Manager ; 🔹 Des formations et certifications Google Cloud, Kubernetes et Cloud Native ; 🔹 Un accès privilégié aux retours d'expérience issus de nos partenariats Google Cloud et Anthropic ; 🔹 Une communauté Data, IA et Cloud particulièrement active ; 🔹 Des talks, meetups, labs et formations internes toute l'année ; 🔹 L'accès à RAISE, notre plateforme GenAI interne multi-LLM ; 🔹 Une forte culture du partage, de l'architecture et du craft. 🚀 Et si tu souhaites évoluer ? Chez SFEIR, tu peux : 🔹 Évoluer vers Lead Data Engineer ou Staff Engineer ; 🔹 Participer à la stratégie technique de l'agence ; 🔹 Devenir référent Data ou IA ; 🔹 Devenir Speaker, Formateur(trice) ou Évaluateur(trice) ; 🔹 Développer une expertise reconnue autour de la Data Platform, de l'IA et du Cloud. Ici, les compétences comptent plus que les titres. 💰 Combien tu vas gagner chez SFEIR ? À l'issue des PlayOffs, nos tests techniques, nous pourrons évaluer ton niveau et ton potentiel afin de te proposer une rémunération cohérente avec ton expertise. Ton salaire sera ensuite revalorisé chaque année. 💻 Présentiel ou télétravail ? Les deux, capitaine ⚓ La majorité de nos clients fonctionnent en mode hybride. Le télétravail est ancré dans notre culture, avec un mode de fonctionnement équilibré entre proximité d'équipe et flexibilité. 🎯 En pratique 📍 Localisation : Niort 🏠 Télétravail : 2 à 3 jours par semaine selon les contextes clients ⚙️ Stack fréquente : Python, SQL, dbt, Airflow, BigQuery, Snowflake, Databricks, Kafka, GCP, Vertex AI, Docker, Kubernetes, APIs LLM, RAG 🎮 La suite des événements 🔹 Premier échange avec Justine Thiriet ; 🔹 Entretien RH personnalisé ; 🔹 PlayOffs techniques avec des Sfeirien(ne)s ; 🔹 Rencontre avec l'équipe business ; 🔹 Échange final avec le management local. Les évaluateurs pourront aussi te partager un aperçu concret de la culture SFEIR et de la vie d'agence. 🤩 Ready to build the future of Data & AI with us ? Tu veux construire des plateformes data modernes, participer à une création d'agence et rejoindre une communauté passionnée où la technique est réellement au centre ? 🚀 Le métier de Data Engineer se transforme profondément. Demain, les profils les plus recherchés seront ceux capables de tirer parti de l'IA, d'en piloter les usages, d'en valider les productions et de construire les plateformes de données qui alimenteront les systèmes intelligents de demain. Rejoindre SFEIR, c'est choisir un environnement qui te permet de développer ces compétences dès aujourd'hui, aux côtés d'experts de la Data, du Cloud et de l'IA. Le futur de la Data se construit maintenant. Viens le construire avec nous. SFEIR collecte vos données à caractère personnel afin de traiter votre candidature. Pour en savoir plus sur la gestion de vos données personnelles et pour exercer vos droits, nous vous invitons à consulter notre Politique de confidentialité . Find Jobs in France on Arbeitnow

🚀 Senior Data Engineer (F/H) – Création d'agence Rennes 👾 Tu as l'âme d'un vibe coder ? Tu développes avec Claude Code ouvert en permanence, tu prompts plus vite que ton ombre et tu penses que l'IA va profondément transformer le métier de Data Engineer ? Bienvenue chez SFEIR Rennes. 🤔 C'est quoi SFEIR ? SFEIR, c'est avant tout une communauté de 900 techs en France, Belgique et Luxembourg, réunis autour d'une même passion : construire des solutions modernes, apprendre et transmettre. Nous accompagnons nos clients sur : 🔹 Le développement d'applications web & mobiles ; 🔹 Les architectures Cloud, Platform Engineering et Data ; 🔹 L'IA générative et les nouveaux usages augmentés ; 🔹 Les meilleures pratiques Software Engineering et Cloud Native. 🚀 Pourquoi les ingénieurs rejoignent aussi SFEIR aujourd'hui SFEIR est partenaire officiel d'Anthropic et également partenaire Premium Google Cloud. Pour nos ingénieurs, cela signifie être au plus près des évolutions du Cloud et de l'IA générative, développer une expertise concrète sur les nouveaux usages de l'IA appliqués à l'ingénierie logicielle et expérimenter les outils qui transforment déjà le métier. Nous sommes convaincus que les profils les plus recherchés dans les années à venir seront ceux capables de combiner excellence technique, culture Data et maîtrise des outils d'IA. Chez SFEIR, nous t'accompagnons dans cette évolution grâce à une communauté qui expérimente déjà ces nouveaux usages au quotidien. Une opportunité unique d'évoluer dans un environnement où innovation, Data Engineering, Cloud et IA avancent ensemble. 🌊 Et Rennes dans tout ça ? SFEIR ouvre une nouvelle page de son histoire à Rennes 🚀 L'objectif ? Construire une communauté Data, Cloud et IA de référence en Bretagne. Rejoindre SFEIR Rennes aujourd'hui, c'est : 🔹 Participer à la création et au développement d'une nouvelle agence ; 🔹 Avoir un impact direct sur les orientations techniques locales ; 🔹 Contribuer à bâtir une communauté reconnue sur l'écosystème rennais ; 🔹 Rejoindre une structure à taille humaine soutenue par un groupe de 900 experts ; 🔹 Participer aux décisions qui façonneront l'agence de demain ; 🔹 Travailler sur des projets stratégiques autour de la Data, du Cloud et de l'IA. Bref, tu ne rejoins pas simplement une entreprise. Tu participes à la construction d'une aventure entrepreneuriale et technologique. 🧠 Ce qu'on recherche chez toi Tu n'as pas peur de : 🔹 Architecturer des pipelines data robustes avec Python, SQL, dbt et Airflow ; 🔹 Travailler avec BigQuery, Snowflake, Databricks, Kafka ou les outils MLOps ; 🔹 Penser Data Quality, gouvernance, observabilité et optimisation des coûts ; 🔹 Construire des plateformes de données fiables et évolutives ; 🔹 Participer à l'industrialisation des usages IA ; 🔹 Transformer des datasets complexes en produits data exploitables ; 🔹 Expérimenter les nouveaux usages de l'IA appliqués à la Data. Tu veux comprendre ce qu'il se passe sous le capot. Pas juste lancer des jobs. 🛠️ Les projets sur lesquels tu pourrais t'éclater 🔹 Construire des plateformes Data & AI cloud-native sur Google Cloud ; 🔹 Développer des pipelines batch et temps réel à forte volumétrie ; 🔹 Industrialiser des architectures MLOps et LLMOps ; 🔹 Concevoir des systèmes RAG connectés aux données métiers ; 🔹 Intégrer l'IA générative dans les workflows analytics ; 🔹 Participer à des projets mêlant Data, IA, Cloud et Software Engineering ; 🔹 Accompagner les grands acteurs bretons dans leurs transformations Data. Bref, du concret. 🤖 Notre botte secrète : RAISE & SFEIR AI Chez SFEIR, maîtriser l'IA n'est plus un bonus. Tu auras accès à RAISE, notre plateforme GenAI interne multi-LLM, utilisée par nos équipes pour : 🔹 Accélérer les workflows Data ; 🔹 Construire des assistants IA connectés aux données métiers ; 🔹 Expérimenter autour des LLMs ; 🔹 Développer des usages RAG et agents IA ; 🔹 Industrialiser des solutions IA concrètes. 👌 Comment on va t'aider à progresser 🔹 Des échanges réguliers avec ton Engineering Manager ; 🔹 Des formations et certifications Google Cloud, Kubernetes et Cloud Native ; 🔹 Un accès privilégié aux retours d'expérience issus de nos partenariats Google Cloud et Anthropic ; 🔹 Une communauté Data, IA et Cloud particulièrement active ; 🔹 Des talks, meetups, labs et formations internes toute l'année ; 🔹 L'accès à RAISE, notre plateforme GenAI interne multi-LLM ; 🔹 Une forte culture du partage, de l'architecture et du craft. 🚀 Et si tu souhaites évoluer ? Chez SFEIR, tu peux : 🔹 Évoluer vers Lead Data Engineer ou Staff Engineer ; 🔹 Participer à la stratégie technique de l'agence ; 🔹 Devenir référent Data ou IA ; 🔹 Devenir Speaker, Formateur(trice) ou Évaluateur(trice) ; 🔹 Développer une expertise reconnue autour de la Data Platform, du Cloud et de l'IA. Ici, les compétences comptent plus que les titres. 💰 Combien tu vas gagner chez SFEIR ? À l'issue des PlayOffs, nos tests techniques, nous pourrons évaluer ton niveau et ton potentiel afin de te proposer une rémunération cohérente avec ton expertise. Ton salaire sera ensuite revalorisé chaque année. 💻 Présentiel ou télétravail ? Les deux, capitaine ⚓ La majorité de nos clients fonctionnent en mode hybride. Le télétravail est ancré dans notre culture avec un mode de fonctionnement équilibré entre proximité d'équipe et flexibilité. 🎯 En pratique 📍 Localisation : Rennes 🏠 Télétravail : 2 à 3 jours par semaine selon les contextes clients ⚙️ Stack fréquente : Python, SQL, dbt, Airflow, BigQuery, Snowflake, Databricks, Kafka, GCP, Vertex AI, Docker, Kubernetes, APIs LLM, RAG 🎮 La suite des événements 🔹 Premier échange avec Justine Thiriet ; 🔹 Entretien RH personnalisé ; 🔹 PlayOffs techniques avec des Sfeirien(ne)s ; 🔹 Rencontre avec l'équipe business ; 🔹 Échange final avec le management local. Les évaluateurs pourront également te partager un aperçu concret de la culture SFEIR et de la vie d'agence. 🤩 Ready to build the future of Data & AI with us ? Tu veux construire des plateformes data modernes, participer à la création d'une agence et rejoindre une communauté passionnée où la technique est réellement au centre ? 🚀 Le métier de Data Engineer se transforme profondément. Demain, les profils les plus recherchés seront ceux capables de tirer parti de l'IA, d'en piloter les usages, d'en valider les productions et de construire les plateformes de données qui alimenteront les systèmes intelligents de demain. Rejoindre SFEIR, c'est choisir un environnement qui te permet de développer ces compétences dès aujourd'hui, aux côtés d'experts de la Data, du Cloud et de l'IA. Le futur de la Data se construit maintenant. Viens le construire avec nous. SFEIR collecte vos données à caractère personnel afin de traiter votre candidature. Pour en savoir plus sur la gestion de vos données personnelles et pour exercer vos droits, nous vous invitons à consulter notre Politique de confidentialité . Find Jobs in France on Arbeitnow

Écrire du code assisté par IA, tout le monde le fait. Livrer un système IA qui tient la charge, qui ne coûte pas une fortune en tokens et qui ne raconte pas n'importe quoi à l'utilisateur final : c'est un autre métier. C'est le tien. Chez SFEIR, tu conçois et déploies des applications robustes, scalables et intelligentes — et tu mets l'IA au cœur de ta propre méthodologie de delivery. Bienvenue dans l'ère du Sfeirian 10x. SFEIR en 30 secondes 950 consultants passionnés par la tech et augmentés par l'IA 8 agences en France, au Luxembourg et à Bruxelles Partenaire Anthropic Select (+ 100 certifiés) 15 ans de partenariat Google Cloud + AWS, Scaleway, S3NS, Databricks, Snowflake, Confluent, DBT +90 clients actifs et +5 000 personnes formées par an via SFEIR Institute 140 certifiés Google Cloud, 30 Google Authorized Trainers, 7 Google Developer Experts Ta mission Concevoir et développer des APIs robustes, performantes et évolutives en Python / FastAPI Garantir l'excellence du code par l'écriture de tests unitaires / d'intégration, le TDD et la participation active aux revues de code Architecturer des services Cloud-Native (principalement GCP) en utilisant des approches Serverless ou conteneurisées (Kuberntes, Docker) Contribuer à l'industrialisation de nos produits en élaborant la stratégie CI/CD et les pratiques DevOps (GitHub Actions) Intégrer des solutions d'IA/GenAI pour transformer des processus métier complexes Assurer le Run des applications en production (observabilité, monitoring, optimisation des performances). Ce qu'on cherche chez toi 4 ans minimum en Software Engineering, avec une maîtrise avancée de Python et FastAPI Une expérience concrète avec l'API d'Anthropic et l'écosystème d'agents / frameworks L'obsession des best practices — tu sais que l'IA peut halluciner et générer de la dette technique. Ton rôle est d'encadrer cette puissance avec une rigueur absolue. La curiosité — tu veux comprendre comment ça marche, pas juste consommer Ton évolution Un Engineering Manager dédié qui t'accompagne — pas un manager que tu vois deux fois par an Une trajectoire au choix : Staff Engineer / Principal Engineer ou Engineering Manager SFEIR Institute & C4E : formation continue et certifications (Claude Code, Dev Augmenté, Google Cloud) Le programme AI Champions : 6 mois pour rejoindre notre cercle d'ambassadeurs IA et propulser ton impact, en interne comme en externe Prêt(e) à devenir un(e) Sfeirian 10x ? SFEIR collecte vos données à caractère personnel afin de traiter votre candidature. Pour en savoir plus sur la gestion de vos données personnelles et pour exercer vos droits, nous vous invitons à consulter notre Politique de confidentialité . Find Jobs in France on Arbeitnow

About AQEMIA AQEMIA is a drug invention company dedicated to creating entirely new medicines to address major unmet medical needs. At the core of our mission is QEMI , our proprietary molecule-invention platform, which uniquely combines cutting-edge science with advanced technology. Powered by physics-based modeling, statistical mechanics, and generative AI, QEMI allows our teams to design novel drug candidates from first principles. What makes AQEMIA different is our commitment to true innovation: our research is dedicated to the invention of new molecular entities, not the refinement of existing ones. We focus on inventing never-before-seen molecules , without relying on experimental data, and advancing them into a growing pipeline of proprietary programs and strategic partnerships with leading pharmaceutical companies. Our most advanced preclinical programs are currently in vivo optimization , targeting diseases still waiting for effective treatments, offering our teams the opportunity to work on science that can make a real difference in people's lives. For more information, visit AQEMIA.com, our WTTJ Page , and our LinkedIn . About our Team AQEMIA brings together a diverse, multidisciplinary team of 80+ professionals based in Paris and London. Our scientists and engineers, including chemists, physicists, machine learning experts, and software engineers, work side by side to push the boundaries of early-stage drug discovery. This close collaboration across disciplines is central to our approach, enabling us to tackle complex scientific challenges from first principles and translate cutting-edge ideas into novel therapeutic candidates. At AQEMIA, team members are encouraged to contribute their expertise, learn from one another, and play an active role in shaping the future of drug invention. About our Platform Department The Platform team (~20 people) brings together multidisciplinary teams working on the scientific core of Aqemia's drug discovery engine. Its mission is to build scalable and reproducible workflows enabling multiple drug discovery programs to run in parallel with minimal manual intervention. The team combines expertise across Artificial Intelligence and Machine Learning (both research and applications), data science, statistical physics and molecular simulations, computational chemistry (CADD), and other scientific disciplines. Together, they develop predictive models, physics-based simulations, and robust scientific pipelines that power AQEMIA's discovery platform. At the center of this ecosystem is the "Rocket Launcher" process: an industrialized workflow continuously launching, testing, and improving drug discovery projects through iterative scientific feedback loops. The role We are looking for an Applied AI Research Scientist to join Aqemia's Drug Discovery Platform, working at the intersection of ML and molecular science. You'll split your time between: 50% AI Research: Develop cutting-edge ML models (e.g., GNNs, generative models, physics-informed AI) to predict molecular properties and protein-ligand interactions. 50% Applied AI: Build ML models that drive real decisions in our internal and partnered drug discovery programs, working hand in hand with chemists, biologists and project leads. Responsibilities AI Research & Development (50%) Design and implement novel Deep Learning algorithms (GNNs, generative, physics-based models). Take part in cutting-edge research and bibliographic exploration Collaborate with research and drug discovery teams to translate models into actionable insights. Applied ML for Discovery Programs (50%) Develop robust ML models (regression, ranking) from molecular and biological data. Collaborate with chemists and biologists; deliver results that drive compound prioritization. Own ML workstreams from start to finish: goals, timelines and stakeholder communication. Deliver models and predictions that scientists can use in their everyday workflows. Qualifications MSc or PhD in Computer Science, Machine Learning, Computational Chemistry, or related field. Strong problem-solving skills, autonomy and a collaborative mindset. ~3-5 years of experience applying ML in scientific or industrial settings. Strong experience with ML frameworks (e.g., PyTorch, TensorFlow, Scikit-learn). Solid Python programming skills and experience working with scientific computing libraries. Nice‑to‑Have Experience in drug discovery, computational chemistry, or physics. Experience with generative models (e.g., diffusion models, VAEs, autoregressive models) applied to structured data. Familiarity with structure-based drug design and protein-ligand interactions. Familiarity with high-performance computing (HPC) and cloud-based ML pipelines. Why Join Us? At AQEMIA, we work for a mission: joining us means having your own impact on changing the way drugs are discovered, and helping to shape the direction of our fast-growing company and team. Expanding Drug Discovery Pipeline : Focused on critical therapeutic areas like Oncology, CNS, Immuno-inflammation... with in vivo proof of concept/patent stage programs. Collaborations with top Pharma, including a $140M Sanofi deal. World-Class Interdisciplinary Team : work alongside exceptional talent at the intersection of technology and life sciences. Our teams combine deep expertise in AI, physics-based modeling, biology, and medicinal chemistry to push the boundaries of innovation. DeepTech Recognition : AQEMIA is proud to be part of the French Tech 40 and France 2030 , highlighting our role as a key player in Europe's DeepTech ecosystem. Prime Location with Flexibility : Our offices are located in the heart of Paris and London (King's Cross) , with flexible work arrangements including up to two remote days per week. Strong Financial Backing : $100M raised from leading European and International investors Find more English Speaking Jobs in France on Arbeitnow

About AQEMIA AQEMIA is a drug invention company dedicated to creating entirely new medicines to address major unmet medical needs. At the core of our mission is QEMI , our proprietary molecule-invention platform, which uniquely combines cutting-edge science with advanced technology. Powered by physics-based modeling, statistical mechanics, and generative AI, QEMI allows our teams to design novel drug candidates from first principles. What makes AQEMIA different is our commitment to true innovation: our research is dedicated to the invention of new molecular entities, not the refinement of existing ones. We focus on inventing never-before-seen molecules , without relying on experimental data, and advancing them into a growing pipeline of proprietary programs and strategic partnerships with leading pharmaceutical companies. Our most advanced preclinical programs are currently in vivo optimization , targeting diseases still waiting for effective treatments, offering our teams the opportunity to work on science that can make a real difference in people's lives. For more information, visit AQEMIA.com, our WTTJ Page , and our LinkedIn . About our Team AQEMIA brings together a diverse, multidisciplinary team of 80+ professionals based in Paris and London. Our scientists and engineers, including chemists, physicists, machine learning experts, and software engineers, work side by side to push the boundaries of early-stage drug discovery. This close collaboration across disciplines is central to our approach, enabling us to tackle complex scientific challenges from first principles and translate cutting-edge ideas into novel therapeutic candidates. At AQEMIA, team members are encouraged to contribute their expertise, learn from one another, and play an active role in shaping the future of drug invention. About our Engineering Department The Engineering team (~12 people) builds and scales the technical foundations that power Aqemia's drug discovery engine. Bringing together expertise across software engineering, cloud infrastructure, data engineering, site reliability engineering (SRE), and scientific computing, the team designs and operates robust, secure, and high-performance platforms that enable Aqemia's scientific and AI teams to experiment, train, deploy, and run models at scale. Their work spans data infrastructure, scientific compute systems, cloud operations, orchestration, observability, CI/CD, developer tooling, and platform scalability. By transforming cutting-edge research into reliable and scalable systems, the team accelerates the discovery of new medicines while ensuring operational excellence and an outstanding developer experience. As Engineering Manager of the Compute team, you will lead a team of 5 engineers responsible for building and evolving the compute platform that powers AQEMIA's scientific simulations, machine learning workloads, and large-scale experimentation. You will combine strong engineering leadership with technical credibility to grow a high-performing team while delivering reliable and scalable platform capabilities. Responsibilities Lead and grow the Compute Engineering team Lead, coach and develop a team of Software Engineers through regular feedback, career development and mentoring. Foster a collaborative, inclusive and high-performing engineering culture built on ownership, trust and continuous improvement. Recruit, onboard and retain exceptional engineering talent. Help engineers grow both technically and professionally while creating clear development paths. Deliver Compute roadmap Partner with Product, Staff Engineers and Engineering Leadership to define priorities and execute the Compute roadmap. Drive predictable delivery by supporting scientific computing, AI workloads and internal developer platforms. Balance new capabilities, operational excellence and technical debt reduction. Identify and proactively manage delivery risks, dependencies and execution challenges. Ensure operational excellence Drive high engineering standards across architecture, testing, observability, reliability and maintainability. Improve the scalability, resilience and performance of production systems supporting research and platform teams. Promote modern engineering practices including automation, CI/CD, Infrastructure as Code and AI-assisted software development. Continuously improve engineering processes, team effectiveness and operational maturity. Partner across Engineering and Science Collaborate closely with Platform, Data, AI and Scientific teams to translate research needs into scalable engineering solutions. Facilitate communication between technical and non-technical stakeholders. Ensure engineering execution remains aligned with AQEMIA's scientific objectives and business priorities. Support cross-functional planning, architecture discussions and technical decision-making. Contribute to Engineering leadership Partner with Engineering Leadership on organizational planning, hiring strategy and team evolution. Help define engineering standards, operating principles and best practices across the organization. Contribute to long-term platform strategy and engineering scalability. Foster knowledge sharing, technical excellence and continuous learning across teams. Qualifications 8+ years of experience in Software Engineering, including experience building production systems at scale. Previous experience leading engineering teams as an Engineering Manager or Tech Lead with people management responsibilities. Strong experience delivering distributed systems, cloud-native applications or compute-intensive platforms. Solid software engineering background with hands-on experience in Python and modern backend development. Experience working with AWS, Kubernetes, PostgreSQL, Snowflake and modern cloud infrastructure. Strong understanding of software architecture, scalability, observability and operational excellence. Experience leading roadmap execution and coordinating cross-functional engineering initiatives. Excellent communication skills with the ability to influence across engineering, scientific and business stakeholders. Strong coaching mindset with a passion for developing engineers and building high-performing teams. Pragmatic approach to balancing delivery, technical excellence and organizational priorities. Nice-to-have Experience leading Platform Engineering, Infrastructure, Compute or SRE teams. Exposure to scientific computing, machine learning infrastructure or AI platforms. Familiarity with large-scale compute environments, GPU infrastructure or distributed training systems. Experience with workflow orchestration systems and developer platforms. Experience implementing AI-assisted engineering workflows and spec-driven development practices. Track record of scaling engineering organizations in fast-growing technology companies. Interest in computational chemistry, life sciences or scientific research environments. Our Recruitment Process Talent Acquisition Interview (30 min) Role Alignment & Leadership Interview with Hiring Manager (45 min) Technical Assessment with a member of Engineering team (60 min) Candidate Presentation + Q&A / Coffee (90 min) Culture Fit Interview with Emmanuelle, Co-founder & COO (60 min) Final interview with Maximilien, Co-founder and CEO (60 min) Why Join Us? At AQEMIA, we work for a mission: joining us means having your own impact on changing the way drugs are discovered, and helping to shape the direction of our fast-growing company and team. Expanding Drug Discovery Pipeline : Focused on critical therapeutic areas like Oncology, CNS, Immuno-inflammation... with in vivo proof of concept/patent stage programs. Collaborations with top Pharma, including a $140M Sanofi deal. World-Class Interdisciplinary Team : work alongside exceptional talent at the intersection of technology and life sciences. Our teams combine deep expertise in AI, physics-based modeling, biology, and medicinal chemistry to push the boundaries of innovation. DeepTech Recognition : AQEMIA is proud to be part of the French Tech 40 and France 2030 , highlighting our role as a key player in Europe's DeepTech ecosystem. Prime Location with Flexibility : Our offices are located in the heart of Paris and London (King's Cross) , with flexible work arrangements including up to two remote days per week. Strong Financial Backing : $100M raised from leading European and International investors Find more English Speaking Jobs in France on Arbeitnow

About AQEMIA AQEMIA is a drug invention company dedicated to creating entirely new medicines to address major unmet medical needs. At the core of our mission is QEMI , our proprietary molecule-invention platform, which uniquely combines cutting-edge science with advanced technology. Powered by physics-based modeling, statistical mechanics, and generative AI, QEMI allows our teams to design novel drug candidates from first principles. What makes AQEMIA different is our commitment to true innovation: our research is dedicated to the invention of new molecular entities, not the refinement of existing ones. We focus on inventing never-before-seen molecules , without relying on experimental data, and advancing them into a growing pipeline of proprietary programs and strategic partnerships with leading pharmaceutical companies. Our most advanced preclinical programs are currently in vivo optimization , targeting diseases still waiting for effective treatments, offering our teams the opportunity to work on science that can make a real difference in people's lives. For more information, visit AQEMIA.com, our WTTJ Page , and our LinkedIn . About our Team AQEMIA brings together a diverse, multidisciplinary team of 80+ professionals based in Paris and London. Our scientists and engineers, including chemists, physicists, machine learning experts, and software engineers, work side by side to push the boundaries of early-stage drug discovery. This close collaboration across disciplines is central to our approach, enabling us to tackle complex scientific challenges from first principles and translate cutting-edge ideas into novel therapeutic candidates. At AQEMIA, team members are encouraged to contribute their expertise, learn from one another, and play an active role in shaping the future of drug invention. Responsibilities Challenge and drive program purpose & progress Ensure programs remain relevant, focused, and outcome-oriented through their lifecycle, Critically challenge scientific reasoning and technological applications to ensure rigor and relevance, Smoothen tech usage and change management Strategic program assessment & governance Conduct regular 360° program assessments, incorporating KPIs, Program Leaders team and stakeholder inputs, and market insights. Recommend program continuation, acceleration, or discontinuation based on robust, data-driven evaluation. Lead resource allocation discussions, ensuring optimal deployment of talent, capital, and time. Provide structured progress reporting to leadership to support effective decision-making and prioritization. Transversal program methodology Support the design, harmonization, and implementation of standardized methodologies for program governance, planning, and execution. Champion best practices and continuous improvement across all programs. Ensure programs comply with internal processes and external regulatory/industry requirements where applicable. Team management Lead, federate, mentor and grow a high-performing team of Program Leaders. Define role expectations, support development plans, and foster a strong culture of accountability and collaboration. Drive talent acquisition to build and scale the program management team in line with organizational needs. Qualifications Scientific background PhD (Chemistry, Biology) preferred, MD, PharmD or Engineer Experience in consulting in lifesciences (past or current experience) with a focus on asset positioning or R&D portfolio management Strategic thinker with strong analytical depth Experience in startup biotech or CRO is a plus Excellent leadership and people management capabilities, including experience managing, hiring and developing talent Exceptional communication and stakeholder management skills. Comfortable at navigating ambiguity. Curious, quick learner and problem solver Passionate about contributing to a mission-driven biotech company changing how drugs are discovered. Motivated by solving hard problems and making strategic decisions in uncertain environments. Eager to coach, mentor, and collaborate across disciplines. Highly organized and adaptable in a fast-paced, evolving setting. Our recruitment process 1 - First discussion with our Talent Acquisition 2 - Hiring Manager's interview : you'll meet directly with your future manager 3 - Technical assessment of your skills through a Business Case 4 - Cultural fit interview with our co-founder and COO Emmanuelle 5 - Final interview with our co-founder and CEO Maximilien Why Join Us ? At AQEMIA, we work for a mission: joining us means having your own impact on changing the way drugs are discovered, and helping to shape the direction of our fast-growing company and team. Expanding Drug Discovery Pipeline : Focused on critical therapeutic areas like Oncology, CNS, Immuno-inflammation... with in vivo proof of concept/patent stage programs. Collaborations with top Pharma, including a $140M Sanofi deal. World-Class Interdisciplinary Team : work alongside exceptional talent at the intersection of technology and life sciences. Our teams combine deep expertise in AI, physics-based modeling, biology, and medicinal chemistry to push the boundaries of innovation. DeepTech Recognition : AQEMIA is proud to be part of the French Tech 40 and France 2030 , highlighting our role as a key player in Europe's DeepTech ecosystem. Prime Location with Flexibility : Our offices are located in the heart of Paris and London (King's Cross) , with flexible work arrangements including up to two remote days per week. Strong Financial Backing : $100M raised from leading European and International investors Find more English Speaking Jobs in France on Arbeitnow

About AQEMIA AQEMIA is a drug invention company dedicated to creating entirely new medicines to address major unmet medical needs. At the core of our mission is QEMI , our proprietary molecule-invention platform, which uniquely combines cutting-edge science with advanced technology. Powered by physics-based modeling, statistical mechanics, and generative AI, QEMI allows our teams to design novel drug candidates from first principles. What makes AQEMIA different is our commitment to true innovation: our research is dedicated to the invention of new molecular entities, not the refinement of existing ones. We focus on inventing never-before-seen molecules , without relying on experimental data, and advancing them into a growing pipeline of proprietary programs and strategic partnerships with leading pharmaceutical companies. Our most advanced preclinical programs are currently in vivo optimization , targeting diseases still waiting for effective treatments, offering our teams the opportunity to work on science that can make a real difference in people's lives. For more information, visit AQEMIA.com, our WTTJ Page , and our LinkedIn . About our Team AQEMIA brings together a diverse, multidisciplinary team of 80+ professionals based in Paris and London. Our scientists and engineers, including chemists, physicists, machine learning experts, and software engineers, work side by side to push the boundaries of early-stage drug discovery. This close collaboration across disciplines is central to our approach, enabling us to tackle complex scientific challenges from first principles and translate cutting-edge ideas into novel therapeutic candidates. At AQEMIA, team members are encouraged to contribute their expertise, learn from one another, and play an active role in shaping the future of drug invention. About the Drug Discovery Team The Drug Discovery Sciences team (~20 people) combines expertise in medicinal chemistry, computational chemistry, biology, and translational science . Working at the intersection of AI-driven drug design, molecular simulations, and experimental science, the team is responsible for driving scientific excellence across Aqemia's drug discovery programs and delivering clinical candidates. They develop and apply innovative methodologies ensuring that scientific insights translate into high-quality therapeutic opportunities. Partnering closely with Platform, Engineering, and Program teams, they play a critical role in advancing novel small-molecule therapeutics from concept to clinical candidate. The role Join Aqemia in a role where you will help shape our rapidly expanding portfolio of small molecule programs across diverse therapeutic areas, beginning with oncology and immuno-oncology. This is a unique chance to build a pipeline working closely with the VP of biology, and multidisciplinary teams to accelerate the discovery of clinical candidates. You'll become part of a dedicated team focusing on providing biological support across the Aqemia portfolio. Responsibilities Drive the identification, validation, and selection of novel biological targets aligned with clear unmet medical needs Contribute to early-stage project ideation by providing deep biological insight and a strong understanding of the drug discovery value chain Guide programs from early discovery into the AQEMIA pipeline, supporting progression toward proof of concept Design, implement, and maintain screening cascades to enable efficient compound evaluation and decision-making Partner with project teams to provide biological expertise, identify risks, and support data-driven prioritization Manage and collaborate with external CROs to define experimental strategies and ensure generation of high-quality, decision-enabling datasets Foster cross-functional collaboration, integrating biology with chemistry, modeling, and platform teams Qualifications PhD in biological sciences (e.g., pharmacology, molecular biology, chemical biology, biochemistry) or equivalent industry experience Strong experience in small molecule drug discovery, including progression from hit identification to candidate nomination Significant industry experience (typically ~8+ years) in early-stage drug discovery and project ideation Demonstrated expertise in oncology and/or immuno-oncology Solid understanding of experimental biology, with hands-on wet lab experience to effectively guide and challenge external partners Proven ability to apply rigorous, data-driven thinking in a multidisciplinary environment Nice‑to‑Haves Experience working in a Contract Research Organization-based or highly outsourced R&D model Track record of contributing to innovative drug discovery strategies aligned with business objectives Experience in project or portfolio management across complex, cross-functional teams Strong ability to anticipate and mitigate scientific and strategic risks Familiarity with translational biology and biomarker strategies Why Join Us? At AQEMIA, we work for a mission: joining us means having your own impact on changing the way drugs are discovered, and helping to shape the direction of our fast-growing company and team. Expanding Drug Discovery Pipeline : Focused on critical therapeutic areas like Oncology, CNS, Immuno-inflammation... with in vivo proof of concept/patent stage programs. Collaborations with top Pharma, including a $140M Sanofi deal. World-Class Interdisciplinary Team : work alongside exceptional talent at the intersection of technology and life sciences. Our teams combine deep expertise in AI, physics-based modeling, biology, and medicinal chemistry to push the boundaries of innovation. DeepTech Recognition : AQEMIA is proud to be part of the French Tech 40 and France 2030 , highlighting our role as a key player in Europe's DeepTech ecosystem. Prime Location with Flexibility : Our offices are located in the heart of Paris and London (King's Cross) , with flexible work arrangements including up to two remote days per week. Strong Financial Backing : $100M raised from leading European and International investors Find more English Speaking Jobs in France on Arbeitnow

About AQEMIA AQEMIA is a drug invention company dedicated to creating entirely new medicines to address major unmet medical needs. At the core of our mission is QEMI , our proprietary molecule-invention platform, which uniquely combines cutting-edge science with advanced technology. Powered by physics-based modeling, statistical mechanics, and generative AI, QEMI allows our teams to design novel drug candidates from first principles. What makes AQEMIA different is our commitment to true innovation: our research is dedicated to the invention of new molecular entities, not the refinement of existing ones. We focus on inventing never-before-seen molecules , without relying on experimental data, and advancing them into a growing pipeline of proprietary programs and strategic partnerships with leading pharmaceutical companies. Our most advanced preclinical programs are currently in vivo optimization , targeting diseases still waiting for effective treatments, offering our teams the opportunity to work on science that can make a real difference in people's lives. For more information, visit AQEMIA.com, our WTTJ Page , and our LinkedIn . About our Team AQEMIA brings together a diverse, multidisciplinary team of 80+ professionals based in Paris and London. Our scientists and engineers, including chemists, physicists, machine learning experts, and software engineers, work side by side to push the boundaries of early-stage drug discovery. This close collaboration across disciplines is central to our approach, enabling us to tackle complex scientific challenges from first principles and translate cutting-edge ideas into novel therapeutic candidates. At AQEMIA, team members are encouraged to contribute their expertise, learn from one another, and play an active role in shaping the future of drug invention. About our Engineering Department The Engineering team (~12 people) builds and scales the technical foundations that power Aqemia's drug discovery engine. Bringing together expertise across software engineering, cloud infrastructure, data engineering, site reliability engineering (SRE), and scientific computing, the team designs and operates robust, secure, and high-performance platforms that enable Aqemia's scientific and AI teams to experiment, train, deploy, and run models at scale. Their work spans data infrastructure, scientific compute systems, cloud operations, orchestration, observability, CI/CD, developer tooling, and platform scalability. By transforming cutting-edge research into reliable and scalable systems, the team accelerates the discovery of new medicines while ensuring operational excellence and an outstanding developer experience. The role As our Senior Data Engineer, you'll own AQEMIA's data platform end to end — from ingestion through the pipeline to the trusted, model-ready datasets that power science, ML and analytics. What makes this role distinctive is the data itself: chemical structures, molecular conformations, physics- and ML-based predictions, and experimental results from CROs and partners. A core part of the work is modelling these scientific entities well — establishing canonical identity, provenance and trustworthy lineage across heterogeneous, often messy sources — so scientists, and increasingly AI agents, can rely on them. You'll work at the intersection of software engineering, data infrastructure and scientific research, with real scope to shape architecture rather than just execute against it. As AQEMIA moves toward more service and API-driven integration next year, you'll help make data fit for automation — expanding your impact from pipelines to the systems that consume them. Responsibilities Own AQEMIA's Bronze → Silver → Gold data pipelines end to end, from ingestion through transformation and delivery, maintaining lineage and traceability as data volume and complexity grow. Model canonical scientific entities — compounds, structures, assays, predictions — establishing identity, provenance and trustworthy lineage across heterogeneous and often messy sources. Set and uphold data quality standards through monitoring, validation, testing and alerting across critical pipelines, strengthening governance and observability so datasets stay trusted and accessible. Partner with ML engineers, data scientists and researchers to build curated, model-ready datasets, translating scientific and business requirements into scalable data solutions. Drive data architecture and engineering best practices — data modeling, testing, documentation, orchestration and deployment — in collaboration with the Engineering Manager and Staff Data Engineer on roadmap execution. Build self-service capabilities and, looking ahead, APIs that make data fit for automation as AQEMIA moves toward more service-based integration. Uphold engineering quality through code reviews, and mentor junior engineers by sharing knowledge and best practices as a senior individual contributor. Qualifications Deep experience in data engineering, with a track record of production systems that other teams depend on. We care about what you have built, not the year count. Strong software engineering skills. You code, you review code, and you hold a quality bar. Expert in Python and SQL. - Strong data modelling and relational database experience. You can defend an identity key. Production experience with a cloud warehouse (we use Snowflake) and a transformation framework (we use dbt). Experience with workflow orchestration (we use Airflow) and infrastructure-as-code (we use Terraform on AWS). Any STEM degree or equivalent experience. Nice-to-have Experience with AWS. Experience with infrastructure-as-code (Terraform) and modern data warehousing (e.g. Snowflake, BigQuery, Redshift) and object storage. Experience in drug discovery, biotech, pharma or deeptech environments. Exposure to AI-driven or data-intensive workflows, or experience working across disciplines (e.g. biology ↔ ML ↔ chemistry). Experience implementing data governance, lineage and metadata management solutions. Track record of improving platform scalability, reliability and operational maturity. Our recruitment process First discussion with our Talent Acquisition Hiring Manager's interview: you'll meet directly with your future manager Technical assessment of your skills in a deep-dive interview with the team VP interview to share wider team vision and align motivations Cultural fit interview with our co-founder and COO, Emmanuelle Final interview with our co-founder and CEO, Maximillien Why Join Us? At AQEMIA, we work for a mission: joining us means having your own impact on changing the way drugs are discovered, and helping to shape the direction of our fast-growing company and team. Expanding Drug Discovery Pipeline : Focused on critical therapeutic areas like Oncology, CNS, Immuno-inflammation... with in vivo proof of concept/patent stage programs. Collaborations with top Pharma, including a $140M Sanofi deal. World-Class Interdisciplinary Team : work alongside exceptional talent at the intersection of technology and life sciences. Our teams combine deep expertise in AI, physics-based modeling, biology, and medicinal chemistry to push the boundaries of innovation. DeepTech Recognition : AQEMIA is proud to be part of the French Tech 40 and France 2030 , highlighting our role as a key player in Europe's DeepTech ecosystem. Prime Location with Flexibility : Our offices are located in the heart of Paris and London (King's Cross) , with flexible work arrangements including up to two remote days per week. Strong Financial Backing : $100M raised from leading European and International investors Find more English Speaking Jobs in France on Arbeitnow

Department Overview: The AI Team, part of Front Office Technology, builds the governed foundation for AI across the firm: secure access to firm data and knowledge, standard tooling, reusable AI services, and the controls that let AI be used safely in a regulated trading environment. Our model is simple. Pods build close to the problem, Technology provides the paved road, and successful applications graduate into formal Technology ownership as they grow in importance. The AI Team, part of Front Office Technology, builds the governed foundation for AI across the firm: secure access to firm data and knowledge, standard tooling, reusable AI services, and the controls that let AI be used safely in a regulated trading environment. Our model is simple. Pods build close to the problem, Technology provides the paved road, and successful applications graduate into formal Technology ownership as they grow in importance. Key Responsibilities Embedded delivery Scope pod use cases that need engineering build, working directly with PMs, traders and quants. Build production-grade applications using AI-assisted development (e.g. Claude Code) on the firm's standard AI tooling: templates, CI/CD, the Institutional Knowledge Layer, MCP services and shared libraries. Engineering standards in the pod Pair with pod developers on live builds, sharing good practice in design, code review, testing and safe use of agentic coding tools. Leave the pod able to extend and maintain what has been built, rather than dependent on you. Shared capability and reuse Turn repeated pod requirements into reusable MCP servers, skills, agents and templates, available for use across the firm. Feed engineering gaps and requirements directly into the team's roadmap. Governance and graduation Build entitlements, per-user identity, audit and evaluation into every solution from day one. Take successful applications through graduation to Technology ownership, including evals, documentation and operational handover. Business outcomes Assist in tracking the business impact of what you deliver: time saved, risk reduced, decisions supported. Key Competencies: You are an experienced engineer who is credible on a trading desk. You understand how PMs and traders work, speak their language, and are comfortable challenging requests in order to deliver what actually adds value. You build quickly with AI tools but hold yourself to production standards: tested, governed, maintainable and reviewable. You understand the limitations of LLMs and design around them rather than over-promising. You look beyond the immediate request, spotting when a pod's problem is really a firm-wide one and building it once so others can reuse it. You are comfortable with ambiguity, take ownership, and measure success by business outcomes. Key Experience and Qualifications: The ideal applicant will have: Essential 5+ years in software engineering, with strong Python and SQL. Direct front office experience at a hedge fund or bank, working day to day with traders or PMs, ideally in Rates or Emerging Markets. Hands-on experience building LLM applications: retrieval (RAG), tool use and agents, context engineering, and evaluation of output quality. Heavy daily use of agentic coding tools, with a clear view of where they fail and how to review their output. A track record of shipping production systems: APIs, containers, CI/CD and cloud (Azure or Kubernetes preferred). The ability to turn loosely defined desk requests into scoped deliverables, and the confidence to push back when something should not be built. Desirable Building MCP servers or similar tool integrations. Market data and time-series work (e.g. Bloomberg, Snowflake). Integrating where required with existing front office tooling and working effectively with the teams that support them. BlueCrest is committed to providing an inclusive environment for its workforce. As an employer, we provide equal opportunities to all people regardless of their gender, marital or civil partnership status, race, religion or ethnicity, disability, age, sexual orientation or nationality. Find more English Speaking Jobs in United Kingdom on Arbeitnow

At Kpler, we are dedicated to helping our clients navigate complex markets with ease. By simplifying global trade information and providing valuable insights, we empower organisations to make informed decisions in commodities, energy, and maritime sectors. Since our founding in 2014, we have focused on delivering top-tier intelligence through user-friendly platforms. Our team of over 850 experts from 69 countries works tirelessly to transform intricate data into actionable strategies, ensuring our clients stay ahead in a dynamic market landscape. Join us to leverage cutting-edge innovation for impactful results and experience unparalleled support on your journey to success. About the Role As a Software Engineer on the founding Connected Supply Chain team, you will build and run the core services extending Kpler's real-time trade intelligence platform beyond marine coverage into North American inland supply chains. Operating on a high-autonomy "you build it, you run it" model, you will carry sensor telemetry from field hardware to paying customers through streaming ingestion pipelines, robust APIs, and user-facing features. By uniting crude pipeline remote sensors, rail, and waterway data with existing maritime tracking, your work will directly deliver a single connected view from production basin to export terminal. Key Responsibilities Build and maintain scalable ingestion and processing pipelines for sensor, rail, and waterway data using Python, Kafka, and Airflow. Develop backend services using FastAPI and contribute to customer-facing web applications using TypeScript and Vue. Implement data validation, system monitoring, and alerting to ensure noisy time-series data from field hardware remains accurate and complete. Operate owned services end-to-end, taking charge of deployments, observability, and participation in the team's on-call rotation. Collaborate closely with data science and sensor operations teams to transform raw telemetry into high-value, usable datasets for early customer adoption. Drive continuous platform health by participating in technical design discussions, improving CI/CD workflows, and delivering tested, well-documented code. Experience & Background What you'll need (Must-haves) 2 to 4 years of professional software engineering experience building and supporting production software. Strong proficiency with Python and relational databases (SQL / Postgres). Proven experience deploying, debugging, and operating backend services in cloud environments (AWS preferred). Hands-on exposure to message queues, streaming platforms (e.g., Kafka), and RESTful API development. Strong problem-solving skills with a high degree of agency to move from ambiguous requirements to working code. Nice-to-haves Experience with FastAPI, Airflow, TypeScript, Vue, or Elasticsearch. Prior exposure to time-series, IoT, remote sensor, or geospatial datasets. Domain interest in energy, commodities, or logistics supply chains. We are a dynamic company dedicated to nurturing connections and innovating solutions to tackle market challenges head-on. If you thrive on customer satisfaction and turning ideas into reality, then you've found your ideal destination. Are you ready to embark on this exciting journey with us? We make things happen We act decisively and with purpose, going the extra mile. We build together We foster relationships and develop creative solutions to address market challenges. We are here to help We are accessible and supportive to colleagues and clients with a friendly approach. Our People Pledge Don't meet every single requirement? Research shows that women and people of color are less likely than others to apply if they feel like they don't match 100% of the job requirements. Don't let the confidence gap stand in your way, we'd love to hear from you! We understand that experience comes in many different forms and are dedicated to adding new perspectives to the team. Kpler is committed to providing a fair, inclusive and diverse work-environment. We believe that different perspectives lead to better ideas, and better ideas allow us to better understand the needs and interests of our diverse, global community. We welcome people of different backgrounds, experiences, abilities and perspectives and are an equal opportunity employer. By applying, I confirm that I have read and accept the Staff Privacy Notice Find more English Speaking Jobs in United Kingdom on Arbeitnow

Join Our Team as a Senior Full-Stack Software Engineer (HawkAI) at Hawk-Eye Innovations Location: Hybrid working – minimum 2 days per week in the office Office: Budapest, Váci út 144-150, 1138 Hungary Contract: Permanent, Full-Time At Hawk-Eye, we build technology that powers some of the most exciting and critical moments in sport, from instant replays and broadcast augmentation to officiating systems trusted by leagues, federations, broadcasters, and millions of fans worldwide. Our HawkAI team builds the foundational machine learning infrastructure that powers the future of sports intelligence. This is a build-from-zero role designed to bridge the gap between machine learning engineering and real-world application. You will be responsible for building the first-pass applications and services that sit on top of the HawkAI Engine, translating cutting-edge ML models and data pipelines into working, demonstrable software. If you thrive on autonomy, rapid execution, and leveraging modern AI-assisted workflows to build products from scratch, this is where you belong. We're looking for a Senior Full-Stack Software Engineer who can comfortably navigate the entire stack to get credible first versions into the hands of users. You won't be handed a fully scoped brief; instead, you'll work closely with ML engineers to figure out what a credible first pass looks like, making high-leverage architectural choices and proving out new product opportunities. What You'll Be Doing Build-from-Zero Applications: Move across the entire stack to design, build, and deploy the first working software applications and services powered by the HawkAI Engine. Bridge ML and Product: Translate complex ML models and real-time data pipelines into responsive, high-throughput APIs and intuitive user interfaces. AI-Accelerated Development: Maximize your build velocity by deeply integrating modern AI-assisted and agentic development tools into your day-to-day workflow, while retaining strict human oversight on software architecture and data integrity. Real-Time Visualization: Design and implement high-performance interfaces to stream and visualize 2D sports data with minimal latency. End-to-End Delivery: Own the end-to-end lifecycle of early-stage applications, from cloud infrastructure (AWS) and CI/CD deployment to frontline delivery. What We're Looking For Versatile Full-Stack Expertise: Broad hands-on experience moving fluidly across backend, frontend, and deployment, specifically with Java, TypeScript, React, Node.js, Python, and modern responsive web technologies (HTML5/CSS3). AWS & Infrastructure: Demonstrated experience designing, building, and deploying end-to-end cloud solutions on AWS infrastructure. CI/CD & DevOps: Proven capability deploying production-ready CI/CD pipelines using Docker and GitHub Actions. Data Streaming & 2D Rendering: Experience streaming, processing, and visualizing dynamic data using 2D rendering engine tools. ML Integration: Experience building APIs and microservices that integrate directly with ML models, keeping latency and throughput constraints front-of-mind. Pragmatic Quality: The ability to write high-quality, testable, and maintainable code that accounts for edge cases, even when executing at high speeds. Bonus Points For Experience with 2D rendering libraries like PixiJS or mobile frameworks like React Native. Hands-on experience with AWS SageMaker, AWS Bedrock, SQL, Redis/Valkey, or infrastructure-as-code using Terraform. Familiarity with building or working alongside agentic AI systems. What This Role Is Not Not an ML Engineering Role: You will work directly with ML engineers, but your focus is building product services on top of their models. Not a Fixed Roadmap Role: You won't execute against rigid specs; a key part of your initial phase is defining what the product should actually be. Not a Management Role: This is a dedicated, high-impact individual contributor position. Not a Long-Term Maintenance Role: You focus on turning 0 to 1; once opportunities are proven, dedicated teams scale and maintain them. Hungary Benefits Annual Leave: Standard according to local labour law. Flexible Working: Hybrid model (2 days in our Budapest office per week). Access to Sporting Events: Priority access and tickets to major sporting events. Sony Group Discounts: Generous discounts across Sony Group products and services. Other Benefits: Flexible Cafeteria options (SZÉP Card, Nursery & Kindergarten contributions, Annual MOL Bubi Pass), Private Medical Insurance, Life & Accident Insurance, MindentMent Dental Clinic discounts, Seniority Awards, and an Employee Assistance Program. Equal Opportunity Employer We're committed to creating an inclusive and diverse workplace. Everyone is treated fairly, regardless of gender, race, religion, age, disability, or background. We want you to be your best and truest self here. Apply Today If you're excited by the idea of shaping the future of sports technology through cutting-edge R&D, we'd love to hear from you. Find Jobs in United Kingdom on Arbeitnow