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REVENUE MANAGEMENT SYSTEMS ANALYST at LEVEL, Viladecans, CT, ES LEVEL is a long-haul airline based in Barcelona and part of the IAG group. The company is customer‑centric and places a strong emphasis on values such as commitment, an open attitude, a constant drive for improvement, and making travel easy for their customers. With a focus on providing an exceptional customer experience, LEVEL is committed to delivering top‑notch service and exceeding the expectations of their passengers. Job Purpose The RM Systems Specialist supports the Revenue Management team in the day‑to‑day calibration of the Revenue Management System (RMS), the automation of manual processes, and the development of the KPI framework. This role blends strong data analytics skills with growing expertise in RM systems, enabling the Pricing and Inventory teams to work faster, smarter, and with better data. The RM Systems Specialist reports to the RM Systems, Processes & KPIs Manager. Main Responsibilities 1. RMS Ownership & Technical Strategy System Configuration & Calibration: Support the administration and fine‑tuning of the Revenue Management Systems (AirRM & PROS), assisting with demand forecasting models, influence factors, and optimizer settings. Business Rule Management: Support the implementation and validation of RM business rules, ensuring system configurations align with commercial and operational objectives. Data Integration & Quality Assurance: Validate data flows between the PSS, RMS, and external data sources (e.G., Infare), ensuring data accuracy, integrity, and timely availability for Revenue Management processes. 2. Process Excellence & Business Automation Automation Projects: Design and build automation scripts and tools (SQL, Python, RPA) to eliminate manual, repetitive tasks and free up analyst time for higher‑value work. System Enhancements & Testing: Coordinate and execute functional testing for RM system enhancements, configuration changes, and new releases, ensuring solutions meet business requirements before deployment. Knowledge Management & Best Practices: Develop and maintain the RM knowledge base, documenting system processes and best practices to ensure consistency and facilitate knowledge sharing across the team. 3. KPI Framework & Performance Auditing Dashboard Development: Build and maintain the RM “Health Check” dashboard in Power BI, tracking metrics such as Forecast Accuracy (MAPE), Yield Opportunity Loss, and Spill/Spoilage. Override Analysis: Support “Post‑Mortem” audits on analyst overrides to help measure their value‑add versus the system’s baseline. Data Deep‑Dives: Analyze no‑show trends, cancellation patterns, and denied boarding data to identify revenue opportunities/leakage points. Education Bachelor’s or Master’s degree in a highly quantitative field (Engineering, Data Science, Statistics, Mathematics, or similar). Experience Prior experience as a Data Analyst, BI Analyst, or in a similar quantitative role is required; prior experience in Revenue Management, Pricing, or the airline/travel industry is a plus, but not a must. Competencies System Exposure: Familiarity with RM systems (AirRM, PROS, or similar) and core RM concepts (e.G., EMSRb, Dynamic Pricing) is a plus. Technical Stack: SQL: Solid working knowledge (BigQuery, Snowflake, or SQL Server) for data extraction and analysis. Data Viz: Experience with Power BI or Tableau to build dashboards and automated reports. Coding: Proficiency in Python or R for automation and predictive modeling is highly valued. Analytical Mindset: Comfortable investigating why numbers move and translating findings into clear, actionable recommendations. Communication: Able to work closely with both technical teams and commercial stakeholders. Mindset: Analytical, curious, and driven to continuously learn, with a strong interest in developing expertise in RM and supporting data‑driven decisions. Languages: Fluent in English and Spanish. Other Key Performance Indicators Forecast Accuracy: Contributing to reducing the delta between predicted and actual demand. Automation Impact: Number and impact of manual processes automated and analyst hours saved. Dashboard Reliability: Accuracy and timeliness of KPI dashboards and reports delivered. Data Integrity: Minimizing discrepancies between PSS, RMS, and BI reporting. Location Viladecans, Barcelona Benefits Staff travel Enjoy discounted flights with LEVEL. Explore the world at more affordable prices. Flex Benefits There are flexible benefits available for services like meals, transport, childcare, trainings, and Health Insurance. Employee Cafeteria & Canteen Start your day right with a delicious breakfast, grab a quick snack during breaks, or choose from a variety of enticing menu options in our employee cafeteria and canteen at special prices! Gym Discount As an employee, you will have access to a special discount on the gym membership. This will allow you to enjoy facilities, fitness classes, consult with a professional nutritionist, and much more!#J-18808-Ljbffr

Our Client's Digital Finance IT is building an AI-enablement layer on top of our enterprise data platform to enable business users across Finance to interact with governed data in natural language. We're hiring a Data Enablement Engineer to design, build, and operate the trusted datasets, semantic models, and embedded AI experiences that make this possible. This is a data platform engineering role , not a data science or model-building role. You will spend your time engineering the data foundation that makes AI reliable — semantic layers, governed data products, and embedded natural-language analytics — not training models. What You'll Do Design and build AI-ready data products on Databricks — trusted datasets with well-defined business semantics, KPIs, hierarchies, and business glossary alignment Implement semantic layers and governed datasets that support both traditional BI consumption and natural-language querying by business users Deploy and operate Databricks Genie spaces with Unity Catalog, tuning them for accuracy, adoption, and business relevance Build RAG pipelines and conversational analytics applications grounded in governed enterprise data — including Streamlit or Databricks Apps that let business users query data without writing SQL Engineer robust ETL/ELT pipelines (dbt, Airflow, Snowpark, PySpark) that produce and maintain the trusted data these AI experiences depend on Implement data governance — RBAC, row/column-level security, masking, lineage, auditability, catalog and metadata management — in a regulated pharma environment Optimize cost and performance on both the data platform side (warehouse sizing, cluster tuning, query optimization) and the AI side (token usage, caching, model routing) Partner with Finance business stakeholders to translate domain requirements into semantic models and governed data products they can trust Requirements Must-Have Experience 5+ years hands-on data engineering on cloud data platforms — Databricks demonstrated in real project delivery, not skill-list-only Direct hands-on experience with Databricks Genie — you have built, configured, and tuned these in production or advanced pilots, with specific reference to the flavors used (Cortex Analyst / Search / Agents / LLM Functions, or Genie spaces with semantic models) Semantic layer / trusted data product delivery — you have built governed datasets that business users can rely on, with KPI definitions, hierarchies, and business glossary alignment dbt, PySpark, Snowpark, SQL, Python — strong across the modern data stack Orchestration with Airflow, Databricks Workflows, or equivalent Data governance in regulated environments — RBAC, RLS, masking, lineage, auditability Experience integrating structured and unstructured data (PDFs, SharePoint/Teams content, enterprise knowledge sources) into AI-enablement workflows Nice to Have Pharma, life sciences, or regulated financial services domain experience Veeva CRM, IQVIA, SAP, or clinical data source integration Streamlit or Databricks Apps for business-facing analytics Databricks Data Engineer Professional certification LangChain, LlamaIndex, or equivalent RAG frameworks Cost optimization on both compute (warehouse/cluster) and LLM (tokens/caching/routing) dimensions What We're NOT Looking For Data Scientists — this role is not model training, fine-tuning, LoRA/RLHF, or ML research Pure Data Engineers who list Cortex or Genie as a skill but haven't shipped it in production AI/GenAI engineers whose center of gravity is LangChain agents or RAG-over-documents, without a strong governed data platform foundation Computer vision, NLP model builders, or multi-agent orchestration specialists — wrong shape for this role #J-18808-Ljbffr

En Veltech buscamos un/a AI Engineer / Data Scientist con una sólida base en data, Machine Learning e Inteligencia Artificial, que quiera trabajar en el desarrollo de soluciones avanzadas basadas en IA generativa, LLMs y agentes inteligentes. Buscamos un perfil técnico, con capacidad para entender problemas complejos, seleccionar y desarrollar los algoritmos adecuados y llevar soluciones de IA desde la experimentación hasta su implementación. Responsabilidades Desarrollo de soluciones de Advanced Analytics: Construcción y despliegue de soluciones basadas en Machine Learning, Deep Learning e Inteligencia Artificial. Generative AI: Desarrollo e integración de soluciones basadas en LLMs, incluyendo prompting, embeddings, RAG y otros patrones de aplicación de IA generativa. AI Agents: Diseño y desarrollo de agentes inteligentes capaces de utilizar herramientas, razonar sobre tareas y ejecutar flujos de trabajo de forma autónoma o semiautónoma. Experimentación y evaluación: Evaluación de modelos y soluciones mediante métricas adecuadas, experimentación iterativa y análisis de resultados. Data & Engineering: Preparación y transformación de datos, integración con diferentes fuentes y desarrollo de componentes necesarios para llevar los modelos a entornos productivos. Optimización: Análisis y mejora del rendimiento, precisión y eficiencia de los modelos y soluciones desarrolladas. Colaboración: Trabajo conjunto con perfiles de Data, Software y negocio para transformar necesidades reales en soluciones basadas en IA. Requisitos mínimos Experiencia profesional en Data Science, Machine Learning, AI Engineering o campos relacionados. Algoritmia: Sólida base en algoritmos, estructuras de datos, modelado y resolución de problemas. Programación: Dominio de Python y experiencia trabajando con librerías y frameworks de Machine Learning/IA. Machine Learning: Conocimientos sólidos de modelos de Machine Learning y Deep Learning, así como de técnicas de entrenamiento, evaluación y optimización. Generative AI: Conocimientos o experiencia práctica con LLMs, prompting, embeddings, RAG y/o arquitecturas basadas en IA generativa. AI Agents: Interés o experiencia en el desarrollo de agentes de IA, tool calling, MCP, workflows/agentes autónomos o frameworks relacionados. Datos: Buen manejo de SQL y experiencia trabajando con datos para el desarrollo y evaluación de modelos. Producción: Capacidad para transformar prototipos y experimentos en soluciones robustas y mantenibles. Se valorará Experiencia desarrollando soluciones de Advanced Analytics, Generative AI y AI Agents en entornos reales. Experiencia con frameworks de agentes y LLMs como Lang Chain, Lang Graph, Llama Index u otros similares. Conocimientos de arquitecturas RAG, vector & graph databases y sistemas de búsqueda semántica. Experiencia con APIs de modelos como Open AI, Anthropic u otros proveedores. Experiencia con Cloud, especialmente Azure. Conocimientos de MLOps, CI/CD, Docker o herramientas de despliegue. Experiencia previa en proyectos de forecasting, optimización o algoritmia aplicada. Experiencia en la industria de aerolíneas. #Veltech #J-18808-Ljbffr

Buscamos un/a Senior Software Engineer con experiencia en desarrollo de software empresarial y capacidad para trabajar en entornos complejos.La posición requiere disponibilidad para acudir.Tiene su CV preparado? Si es así y confía en que este es el puesto ideal para usted, asegúrese de enviar su

Empresaconfidencial en Viladecans está buscando un/a Desarrollador/a de Software con al menos 2 años de experiencia para desarrollar soluciones para clientes de diversos sectores, utilizando Java, Python y JavaScript (React/Angular).

Empresaconfidencial desea incorporar un/a desarrollador/a con experiencia para crear soluciones innovadoras en Java, Python y JavaScript.Puede obtener más detalles sobre la naturaleza de esta vacante y lo que se espera de los solicitantes leyendo la información a continuación.Trabajarás en arqui

Funciones * Diseñar, ejecutar y mantener pruebas automatizadas utilizando Selenium.Realizar pruebas de APIs mediante Postman.Ejecutar pruebas de rendimiento y carga con JMeter.Validar el correcto funcionamiento del código en proyectos basados en Python y Angular.Analizar resultados de pruebas, doc

Veltech busca un/a AI Engineer/Data Scientist para desarrollar soluciones basadas en IA generativa, LLMs y agentes inteligentes. Se valorará experiencia en Python, ML y análisis de datos, con capacidad de llevar proyectos desde la experimentación hasta la producción. El candidato trabajará con equipos de Data, Software y negocio para convertir requerimientos complejos en soluciones robustas y mantenibles, con foco en rendimiento y escalabilidad. #J-18808-Ljbffr

At Johnson & Johnson,we believe health is everything. Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented, treated, and cured,where treatments are smarter and less invasive, andsolutions are personal.Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity.Learn more at jnj.com. As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit. R&D Product Development R&D Machine Learning Scientific/Technology Cornellà de Llobregat, Barcelona, Spain, Madrid, Spain Johnson & Johnson Innovative Medicine R&D Data Science and Digital Health is recruiting for a Senior Engineer – GenAI Quality Assurance. This role can be based in Madrid or Barcelona. Hybrid working. J&J Innovative Medicine develops treatments that improve the health of people worldwide. Research and development areas encompass oncology, immunology, neuroscience, cardiopulmonary and specialty ophthalmology. Our goal is to help people live longer, healthier lives. We have produced and marketed many first-in-class prescription medications and are poised to serve the broad needs of the healthcare market – from patients to practitioners and from clinics to hospitals. To learn more about Johnson & Johnson Innovative Medicine visit https://innovativemedicine.jnj.com/ Description: We’re hiring a professional who specializes in designing, testing, and refining complex GenAI applications, primarily in scientific or ML-driven environments. You'll be responsible for validating, stress-testing, and improving Gen-AI powered products (pipelines and AI-assisted workflows) across the product lifecycle – from pre-deployment validation to post-release monitoring. • Design and implement automated and manual QA strategies for GenAI systems, • Build regression tests, generate synthetic test data, build test harnesses and evaluation pipelines for accuracy, grounding, robustness, safety, • Validate prompt logic, model behavior and evaluation metrics, • Execute tests and debug pipelines, • Support deployment of GenAI products, • Lead system design reviews, advocating best practices for architecture and reliability of GenAI applications, • Collaborate closely with data scientists and developers to embed testing and quality checkpoints, • Establish testing standards and workflows for continuous integration and deployment, • Conduct code reviews with a focus on design, testability, and maintainability, • Document system design decisions, test cases, and best practices, • Close collaboration with domain experts and stakeholders to validate developed solutions, • Strong software engineering background with QA ownership, • Familiarity with RAG & Graph frameworks, • 3+ years of experience as a software engineer (preferably 5), or QA engineer in production systems, preferably including at least 1 year experience in GenAI systems, • Advanced Python skills, • Experience working with LLM-based systems in real environments, • Hands-on experience with:, • LLM APIs, • AWS Bedrock (Anthropic & OSS), • Azure Foundry (OpenAI), • GCP (Gemini), • Cloud platforms (AWS, Azure, GCP), • Proven ability to implement test frameworks for GenAI applications, • Knowledge of API testing, data validation, and data pipeline testing, • Experience with version control (Git), • Experience with building and deploying AI/ML products through the full product lifecycle, • Good understanding of scientific computing and ML frameworks, • Solid understanding of safety, bias, and failure modes of GenAI systems, • Comfortable working in a relatively fast-moving environment where priorities may shift and initiative is valued, • Proactive problem-solver who can anticipate needs and find solutions, • Comfortable working independently, but also a strong team player, • Experience with Jenkins, Sonarqube, • Monitoring and observability tools (Prometheus, Grafana etc), • Devops experience (docker, jenkins), • Experience deploying GenAI services to production at scale, • Exposure to ML Ops or production ML systems #JRDDS #JNJDataScience #JRD Large Language Models (LLMs), Microsoft Foundry, OpenAI, Python (Programming Language), Software Quality Assurance (SQA) Artificial Intelligence (AI), Coaching, Cognitive Computing, Critical Thinking, Cross-Functional Collaboration, Curious Mindset, Data Structures, Distributed Computing, Emerging Technologies, Human-Computer Relationships, Machine Learning (ML), Persistence and Tenacity, Program Management, Research and Development, SAP Product Lifecycle Management, Scripting Languages, Technologically Savvy #J-18808-Ljbffr

Asegúrese de presentar su candidatura con toda la información solicitada, tal como se expone en la descripción del puesto a continuación. Se valorará experiencia previa en programación de microcontroladores y conocimiento en Python. La persona seleccionada desarrollará firmware en C/C++ para

Somos una de las entidades financieras de referencia de crédito al consumo en el mercado español. Con 35 años de historia en nuestro país, hemos acompañado a más de dos millones y medio de clientes para hacer realidad sus proyectos. Estamos respaldados por el grupo Crédit Mutuel, el cuarto banco más importante en Francia, que nos proporciona el soporte financiero y tecnológico necesario para diseñar, vender y gestionar una amplia gama de productos de crédito al consumo, préstamos personales, tarjetas, líneas de crédito, soluciones de pago y seguros. • Identificar nuevas tendencias y oportunidades de análisis, colaborando con diferentes partes del negocio para impulsar la agenda de análisis y ciencias de datos., • Transformar grandes conjuntos de datos complejos en ideas pragmáticas y factibles., • Llevar a cabo actividades de investigación, desarrollo, exploración y descubrimiento de datos y desarrollar prototipos, algoritmos y pruebas de concepto, utilizando la ciencia de datos líder y soluciones innovadoras., • Aplicar métodos analíticos, como el aprendizaje automático, el reconocimiento de patrones, los algoritmos de recomendación para resolver problemas comerciales y optimizar resultados., • Trabajar en el descubrimiento de datos que aporte valor y ayude a la toma de decisiones., • Colaborar con los equipos de ingeniería de datos para mejorar los datos como activo del negocio., • Crear conocimientos sobre las tecnologías y técnicas existentes y emergentes, según corresponda a la ciencia de los datos, y mantener un espíritu de aprendizaje., • Grado en Estadística, Matemáticas, Ingenierías, Física (o estudios comparables). Valoramos otras formaciones (ADE, Economía,…) si se complementa con un Máster en Data Science / Data Analytics., • Experiencia mínima de 1 año como Data Scientist realizando modelos estadísticos / machine learning., • Experiencia práctica con alguno de los paquetes estadísticos: SAS, Python (Sckit-Learning, Pandas, Numpy, VerticaPy) y/o R., • Incorporarte a una multinacional del sector financiero en pleno proceso de transformación., • Integrarte en un equipo dinámico formando parte de proyectos transversales., • Amplias posibilidades de desarrollo profesional., • Modelo de trabajo híbrido con 2 días de teletrabajo a la semana., • Un completo paquete de compensación que incluye: contrato estable, salario fijo, variable, tickets restaurant y otros beneficios sociales. En Cofidis, somos un grupo inclusivo que cree en el valor de la diversidad. Nos comprometemos a considerar todas las candidaturas cualificadas sin distinción de origen, género, edad, orientación sexual o discapacidad. Fomentamos un entorno diverso e inclusivo, con espacios de trabajo accesibles y adaptados. Si necesitas alguna adaptación durante el proceso de selección o en la entrevista, háznoslo saber. Estaremos a tu disposición para facilitarte lo que necesites. #J-18808-Ljbffr

IT BUSINESS PROCESS MANAGER - R&D DATA SCIENCEPresenta candidaturaremote type: Corporate & Support Functionslocations: SANT FELIU DE LLOBREGATtime type: Full timeposted on: Offerta pubblicata oggijob requisition id: 001564Stiamo costruendo il futuro della dermatologia medica concentrandoci sui bisogni ancora insoddisfatti dei pazienti e dando alle persone lo spazio per pensare in modo indipendente, assumersi responsabilità e generare un impatto che conta davvero.Il nostro purpose è semplice: trasformare la vita dei pazienti rispondendo a bisogni reali. Lavoriamo con rigore, agiamo con coraggio, teniamo le cose semplici e orientiamo l’innovazione dove può davvero fare la differenza.Riconosciuti come Top Employer in Spagna dal 2008 e in Germania dal 2025, continuiamo a investire in un ambiente in cui le persone possono crescere e andare avanti.Se pensi in modo diverso, qui è il posto giusto per te.MISSION Act as the IT solution owner and trusted partner for the R&D Data Science team, collaborating closely with bioinformatics, molecular modelling, and AI Engineering to ensure alignment, proximity, and effective day-to-day collaboration. Own and support Data Science applications, both internally developed and third-party, ensuring business alignment, prioritization, and adoption. The role is accountable for end-to-end coordination, while execution of operations, architecture, security, compliance, and support is delivered in collaboration with specialized IT teams and external vendors. This role serves as a ring-fenced resource dedicated to Data Science needs, enabling faster decision-making, better communication, and more efficient delivery of IT services. It requires a strong scientific background and solid experience in R&D Data Science environments. TASKS AND RESPONSIBILITIES Operational: Lead demand intake, service coordination and project delivery for Data Science-related IT needs in close collaboration with Data Science stakeholders, especially bioinformatics and modelling teams Manage software development lifecycle of custom Data Science tools supporting the acceleration of hypothesis generation and scientific insight creation Act as a Single Point of Contact (SPOC) in IT for Data Science users, reducing complexity by shielding business stakeholders from interacting with multiple IT teams and ensuring seamless coordination across infrastructure, security, data and application domains Partner with relevant IT domains to evolve technology capabilities for R&D Data Science, supporting scientific platforms, advanced computing, omics, multimodal analytics, molecular modelling and AI/ML in line with business priorities Translate, review, and validate Data Science requirements into actionable IT deliverables with clear scope, timelines, and responsibilities, while safeguarding business and end-user needs through a unified model for demand intake, backlog prioritization, issue management and adoption Coordinate with the appropriate governance, security and compliance functions to ensure Data Science solutions align with R&D and enterprise requirements, including AI ethics, monitoring and risk management Coordinate with service support teams and technology vendors to ensure technical solutions meet agreed functional and performance expectations Ensure that appropriate documentation, knowledge transfer and service transition are in place for handover to IT support teams Accountable for the update of data science system maps and software developed by data science that support R&D business operations Work with the relevant expert teams to ensure systems and pipelines meet required standards for backup, data integrity, security and GxP compliance Contribute to cost-efficient technology decisions aligned with the long-term R&D business strategy, in collaboration with the relevant IT and procurement stakeholders Define and track KPIs to measure solution performance, adoption and business value. Drive project management using agile methodologies and increase speed of delivery, reducing time to insight and enabling faster hypothesis generation in all possible stages of Data Science flat & self-organised model. Represent Data Science growth needs in IT planning to help ensure that platforms and services can scale appropriately for omics, advanced analytics and AI use cases Coordinate the design and evolution of the end-to-end architecture for the Data Science environment with enterprise architecture and specialist IT teams, ensuring scalability, resilience and alignment with corporate standards across ideation, pilots and production solutions Orchestrate cross-functional delivery involving Data & AI, Infrastructure & Operations, Security and Digital Solutions, with clear ownership across the relevant IT domains EXPERIENCE At least 5 years of experience working in R&D Pharma in close collaboration with bioinformatics and IT teams Deep understanding of R&D Data Science workflows (omics, bioinformatics, AI/ML pipelines, and computational modeling) Proven ability to operate at the intersection of science and technology, translating scientific challenges into scalable IT solutions Experience in HPC, cloud platforms (preferably Azure), or equivalent architectures for compute-intensive workloads Deep knowledge of advanced computing environments, supporting analytics, scientific pipelines AI/ML, or simulation workloads Market vision for solutions to support data scientist in Pharma R&D environment. Broad understanding of the Pharma industry including security and GxP compliance Python, Linux, Apache, Postgres, Bash, R, Gitlab, Shiny server, Package manager Posit Workbench & Connect, services configuration management and automation, supports custom DS application to allow developer users to install code packages, Docker CI/CD, kubernetes clusters, LakeHouse integrations (preferably DataBricks) Demonstrated experience in designing and implementing end to end data and cloud architectures including infrastructure, data pipelines, and application integration for complex and scalable environments Solid experience managing full lifecycle of solutions from ideation and proof of concept to industrialization production deployment and ongoing evolution & continuous improvement Proven track record in leading or coordinating cross-functional teams including Data & AI, infrastructure, security and external vendors* Proven ability to enable innovation and evaluate non-standard technologies, balancing agility with compliance and enterprise architecture in fast-evolving environments MISSION Act as the IT solution owner and trusted partner for the R&D Data Science team, collaborating closely with bioinformatics, molecular modelling, and AI Engineering to ensure alignment, proximity, and effective day-to-day collaboration. Own and support Data Science applications, both internally developed and third-party, ensuring business alignment, prioritization, and adoption. The role is accountable for end-to-end coordination, while execution of operations, architecture, security, compliance, and support is delivered in collaboration with specialized IT teams and external vendors. This role serves as a ring-fenced resource dedicated to Data Science needs, enabling faster decision-making, better communication, and more efficient delivery of IT services. It requires a strong scientific background and solid experience in R&D Data Science environments. #J-18808-Ljbffr

G+D makes the lives of billions of people around the world more secure. We shape trust in the digital age with built-in security tech in three segments: Digital Security, Financial Platforms and Currency Technology. We have been a reliable partner for our customers for over 170 years with our innovative solutions for SecurityTech! We are an international technology group and traditional family business with over 14,000 employees in 40 countries. Creating Confidence is our path to success. Trust is the basis of our collaboration within G+D. We are the reliable partner for all challenges resulting from the Internet of Things. We offer a complete connectivity portfolio for mobile network operators, automotive manufacturers, technology companies such as chip and module manufacturers as well as transport and logistics providers. Our portfolio includes highly secure solutions in the area of connectivity & IoT, from classic SIM, eSIM and iSIM, to the associated embedded operating systems and life cycle management, through to services for global connectivity and IoT solutions. Do you want to actively shape the digital transformation with us? Giesecke+Devrient is a global company that offers security technologies, both in the physical and digital world. Every day, billions of people benefit from G+D innovations in their personal and business lives. With around 11,600 employees across 32 countries, we develop, manufacture, and distribute products and solutions for the safeguarding of payment processes, identities, connectivity, and data. At G+D Mobile Security, the world leader in secure telecommunications systems via SIM / eSIM, we are looking for an Application Engineer eSIM and IoT. This is a hands-on engineering role in an international team responsible for deployment and administration of Java applications developed in-house. You will collaborate closely with the developers and with colleagues from IT Infrastructure and Customer Support. • Install, integrate, and troubleshoot Java-based applications hosted at G+D Datacenters and Cloud environments for market-leading customers., • Operate web servers, proxy servers, and Java applications in a Linux-based environment, including the management of digital certificates and keys., • Analyze and resolve incidents related to Java applications, in compliance with the service level agreements and service processes based on the ITIL framework., • Implement, test, and document new customer solutions in close coordination with project management and other internal teams., • Maintain and enhance our monitoring, logging, and event management systems., • Automate regular operational support tasks and system deployments using scripts and Ansible., • Degree in Computer Sciences or equivalent qualification., • Experienced in managing Web Servers, Apache, Tomcat, and Java Applications in a Linux based environment., • Basic knowledge of Cloud Computing environments, particularly AWS, and container orchestration, such as Kubernetes (e.g. Amazon ECS)., • Understanding of networking concepts (OSI model, TCP/IP)., • Scripting skills (e.g., Bash, Python) and ideally Ansible experience for automation and tooling., • Knowledge of ITIL processes and Service Management., • Knowledge of Agile/Scrum teamwork., • Fluent written and spoken English., • Culture and diversity: Join a people oriented environment with different nationalities and a great team spirit, flat hierarchies (everyone speaks to everyone). Equal Opportunity Employer and LGBT+ friendly., • Global Collaboration: Work collaboratively with stakeholders around the globe., • Career Development: Benefit from continuous training, coaching, and talent development programs., • Social Benefits: flexible compensation (transport tickets, training, private insurance), etc., • Own canteen: take a break with our breakfast and lunch service: chose between a wild range of menus, salad desk, and sandwiches service. Nicely prices!, • Work-Life Balance: Flexible working hours with the option for remote work (M-Th 8.30 - 17.30 and Fri 8.30 - 15.30; 3 days of remote work)., • Location: Sant Joan Despí. Easy communication by public transport. The personal data you provide will be processed to manage your application in accordance with the GDPR and our Privacy Policy, available at Data Privacy | G+D. #J-18808-Ljbffr

IT BUSINESS PROCESS MANAGER - R&D DATA SCIENCEBewerbenremote type: Corporate & Support Functionslocations: SANT FELIU DE LLOBREGATtime type: Full timeposted on: Vor 2 Tagen ausgeschriebenjob requisition id: 001564Warum Almirall?Wir gestalten die Zukunft der medizinischen Dermatologie, indem wir uns auf unerfüllte Bedürfnisse von Patient:innen konzentrieren und Menschen den Raum geben, eigenständig zu denken, Verantwortung zu übernehmen und Wirkung zu erzielen, die wirklich zählt.Unser Anspruch ist klar: das Leben von Patient:innen zu verbessern, indem wir auf echte Bedürfnisse eingehen. Wir arbeiten mit Präzision, handeln mutig, halten die Dinge einfach und richten unsere Innovation dort aus, wo sie wirklich einen Unterschied macht.Als Top Employer in Spanien seit 2008 und in Deutschland seit 2025 investieren wir kontinuierlich in ein Umfeld, in dem Menschen wachsen und vorankommen können.Wenn du Dinge anders angehst, bist du hier richtig.MISSION Act as the IT solution owner and trusted partner for the R&D Data Science team, collaborating closely with bioinformatics, molecular modelling, and AI Engineering to ensure alignment, proximity, and effective day-to-day collaboration. Own and support Data Science applications, both internally developed and third-party, ensuring business alignment, prioritization, and adoption. The role is accountable for end-to-end coordination, while execution of operations, architecture, security, compliance, and support is delivered in collaboration with specialized IT teams and external vendors. This role serves as a ring-fenced resource dedicated to Data Science needs, enabling faster decision-making, better communication, and more efficient delivery of IT services. It requires a strong scientific background and solid experience in R&D Data Science environments. TASKS AND RESPONSIBILITIES Operational: Lead demand intake, service coordination and project delivery for Data Science-related IT needs in close collaboration with Data Science stakeholders, especially bioinformatics and modelling teams Manage software development lifecycle of custom Data Science tools supporting the acceleration of hypothesis generation and scientific insight creation Act as a Single Point of Contact (SPOC) in IT for Data Science users, reducing complexity by shielding business stakeholders from interacting with multiple IT teams and ensuring seamless coordination across infrastructure, security, data and application domains Partner with relevant IT domains to evolve technology capabilities for R&D Data Science, supporting scientific platforms, advanced computing, omics, multimodal analytics, molecular modelling and AI/ML in line with business priorities Translate, review, and validate Data Science requirements into actionable IT deliverables with clear scope, timelines, and responsibilities, while safeguarding business and end-user needs through a unified model for demand intake, backlog prioritization, issue management and adoption Coordinate with the appropriate governance, security and compliance functions to ensure Data Science solutions align with R&D and enterprise requirements, including AI ethics, monitoring and risk management Coordinate with service support teams and technology vendors to ensure technical solutions meet agreed functional and performance expectations Ensure that appropriate documentation, knowledge transfer and service transition are in place for handover to IT support teams Accountable for the update of data science system maps and software developed by data science that support R&D business operations Work with the relevant expert teams to ensure systems and pipelines meet required standards for backup, data integrity, security and GxP compliance Contribute to cost-efficient technology decisions aligned with the long-term R&D business strategy, in collaboration with the relevant IT and procurement stakeholders Define and track KPIs to measure solution performance, adoption and business value. Drive project management using agile methodologies and increase speed of delivery, reducing time to insight and enabling faster hypothesis generation in all possible stages of Data Science flat & self-organised model. Represent Data Science growth needs in IT planning to help ensure that platforms and services can scale appropriately for omics, advanced analytics and AI use cases Coordinate the design and evolution of the end-to-end architecture for the Data Science environment with enterprise architecture and specialist IT teams, ensuring scalability, resilience and alignment with corporate standards across ideation, pilots and production solutions Orchestrate cross-functional delivery involving Data & AI, Infrastructure & Operations, Security and Digital Solutions, with clear ownership across the relevant IT domains EXPERIENCE At least 5 years of experience working in R&D Pharma in close collaboration with bioinformatics and IT teams Deep understanding of R&D Data Science workflows (omics, bioinformatics, AI/ML pipelines, and computational modeling) Proven ability to operate at the intersection of science and technology, translating scientific challenges into scalable IT solutions Experience in HPC, cloud platforms (preferably Azure), or equivalent architectures for compute-intensive workloads Deep knowledge of advanced computing environments, supporting analytics, scientific pipelines AI/ML, or simulation workloads Market vision for solutions to support data scientist in Pharma R&D environment. Broad understanding of the Pharma industry including security and GxP compliance Python, Linux, Apache, Postgres, Bash, R, Gitlab, Shiny server, Package manager Posit Workbench & Connect, services configuration management and automation, supports custom DS application to allow developer users to install code packages, Docker CI/CD, kubernetes clusters, LakeHouse integrations (preferably DataBricks) Demonstrated experience in designing and implementing end to end data and cloud architectures including infrastructure, data pipelines, and application integration for complex and scalable environments Solid experience managing full lifecycle of solutions from ideation and proof of concept to industrialization production deployment and ongoing evolution & continuous improvement Proven track record in leading or coordinating cross-functional teams including Data & AI, infrastructure, security and external vendors* Proven ability to enable innovation and evaluate non-standard technologies, balancing agility with compliance and enterprise architecture in fast-evolving environments MISSION Act as the IT solution owner and trusted partner for the R&D Data Science team, collaborating closely with bioinformatics, molecular modelling, and AI Engineering to ensure alignment, proximity, and effective day-to-day collaboration. Own and support Data Science applications, both internally developed and third-party, ensuring business alignment, prioritization, and adoption. The role is accountable for end-to-end coordination, while execution of operations, architecture, security, compliance, and support is delivered in collaboration with specialized IT teams and external vendors. This role serves as a ring-fenced resource dedicated to Data Science needs, enabling faster decision-making, better communication, and more efficient delivery of IT services. It requires a strong scientific background and solid experience in R&D Data Science environments. #J-18808-Ljbffr

Desde Singular Aircraft, estamos buscando incorporar un/a Hardware / Embedded Systems Engineer para unirse a nuestro equipo de ingeniería. En Singular Aircraft desarrollamos soluciones aeronáuticas innovadoras, trabajando en el diseño y desarrollo de aeronaves no tripuladas y sistemas avanzados para aplicaciones industriales. Buscamos un perfil técnico que quiera participar en proyectos de alto componente tecnológico, desde el desarrollo de hardware y sistemas embebidos hasta su integración y puesta en funcionamiento. Experiencia • Mínimo de 3 años de experiencia práctica en diseño de hardware integrado e ingeniería de firmware., • Trayectoria demostrada en los sectores afines., • Responsabilidad de principio a fin: ha impulsado de forma independiente proyectos desde la fase conceptual hasta la puesta en marcha del hardware, el firmware, la validación y la implementación., • Se implica activamente en el crecimiento de los ingenieros junior: comparte conocimientos, realiza revisiones de diseño y eleva el nivel técnico del equipo con el tiempo. -Formación en Ingeniería Electrónica, Aeroespacial, Telecomunicaciones o similar. -Conocimientos de diseño electrónico, buses de comunicación (UART, CAN, SPI, I2C) y herramientas CAD (Altium/KiCad/OrCAD). -Experiencia en pruebas de laboratorio y uso de instrumentación (osciloscopio, analizador lógico, multímetro). -Capacidad para trabajar con documentación técnica, trazabilidad y estándares de calidad. Se valorará • Conocimientos previos de marcos de certificación (DO-160, MIL-STD, IEC, etc.), • Experiencia en integración de enlaces de datos de RF o familiaridad con la radio definida por software (SDR), • Programación en Python para herramientas y automatización, • Diseño y documentación de mazos de cables (Eplan), • Se valora muy positivamente la cartera de proyectos anteriores (esquemas, PCB, repositorios de firmware, etc.) #J-18808-Ljbffr

Mínimo 2 años de experiencia en desarrollo de software, con dominio de al menos uno de los lenguajes mencionados (Java, Python, JavaScript, etc. Orientación rápida para impulsar tu candidatura — Área: Informática y telecomunicaciones — Zona: Barcelona (El Prat de Llobregat ) Sector: Inform

IT BUSINESS PROCESS MANAGER - R&D DATA SCIENCEApplyremote type: Corporate & Support Functionslocations: SANT FELIU DE LLOBREGATtime type: Full timeposted on: Posted Todayjob requisition id: 001564We’re building the future of medical dermatology by focusing on unmet patient needs and giving people the space to think independently, take ownership and make an impact that matters.Our purpose is simple: to transform patients’ lives by addressing real needs. We work with care, act with courage, keep things simple and focus our innovation where it makes a difference.Recognised as a Top Employer in Spain since 2008 and in Germany since 2025, we continue to invest in an environment where people can grow and move forward.If you care differently, you belong here.MISSION Act as the IT solution owner and trusted partner for the R&D Data Science team, collaborating closely with bioinformatics, molecular modelling, and AI Engineering to ensure alignment, proximity, and effective day-to-day collaboration. Own and support Data Science applications, both internally developed and third-party, ensuring business alignment, prioritization, and adoption. The role is accountable for end-to-end coordination, while execution of operations, architecture, security, compliance, and support is delivered in collaboration with specialized IT teams and external vendors. This role serves as a ring-fenced resource dedicated to Data Science needs, enabling faster decision-making, better communication, and more efficient delivery of IT services. It requires a strong scientific background and solid experience in R&D Data Science environments. TASKS AND RESPONSIBILITIES Operational: Lead demand intake, service coordination and project delivery for Data Science-related IT needs in close collaboration with Data Science stakeholders, especially bioinformatics and modelling teams Manage software development lifecycle of custom Data Science tools supporting the acceleration of hypothesis generation and scientific insight creation Act as a Single Point of Contact (SPOC) in IT for Data Science users, reducing complexity by shielding business stakeholders from interacting with multiple IT teams and ensuring seamless coordination across infrastructure, security, data and application domains Partner with relevant IT domains to evolve technology capabilities for R&D Data Science, supporting scientific platforms, advanced computing, omics, multimodal analytics, molecular modelling and AI/ML in line with business priorities Translate, review, and validate Data Science requirements into actionable IT deliverables with clear scope, timelines, and responsibilities, while safeguarding business and end-user needs through a unified model for demand intake, backlog prioritization, issue management and adoption Coordinate with the appropriate governance, security and compliance functions to ensure Data Science solutions align with R&D and enterprise requirements, including AI ethics, monitoring and risk management Coordinate with service support teams and technology vendors to ensure technical solutions meet agreed functional and performance expectations Ensure that appropriate documentation, knowledge transfer and service transition are in place for handover to IT support teams Accountable for the update of data science system maps and software developed by data science that support R&D business operations Work with the relevant expert teams to ensure systems and pipelines meet required standards for backup, data integrity, security and GxP compliance Contribute to cost-efficient technology decisions aligned with the long-term R&D business strategy, in collaboration with the relevant IT and procurement stakeholders Define and track KPIs to measure solution performance, adoption and business value. Drive project management using agile methodologies and increase speed of delivery, reducing time to insight and enabling faster hypothesis generation in all possible stages of Data Science flat & self-organised model. Represent Data Science growth needs in IT planning to help ensure that platforms and services can scale appropriately for omics, advanced analytics and AI use cases Coordinate the design and evolution of the end-to-end architecture for the Data Science environment with enterprise architecture and specialist IT teams, ensuring scalability, resilience and alignment with corporate standards across ideation, pilots and production solutions Orchestrate cross-functional delivery involving Data & AI, Infrastructure & Operations, Security and Digital Solutions, with clear ownership across the relevant IT domains EXPERIENCE At least 5 years of experience working in R&D Pharma in close collaboration with bioinformatics and IT teams Deep understanding of R&D Data Science workflows (omics, bioinformatics, AI/ML pipelines, and computational modeling) Proven ability to operate at the intersection of science and technology, translating scientific challenges into scalable IT solutions Experience in HPC, cloud platforms (preferably Azure), or equivalent architectures for compute-intensive workloads Deep knowledge of advanced computing environments, supporting analytics, scientific pipelines AI/ML, or simulation workloads Market vision for solutions to support data scientist in Pharma R&D environment. Broad understanding of the Pharma industry including security and GxP compliance Python, Linux, Apache, Postgres, Bash, R, Gitlab, Shiny server, Package manager Posit Workbench & Connect, services configuration management and automation, supports custom DS application to allow developer users to install code packages, Docker CI/CD, kubernetes clusters, LakeHouse integrations (preferably DataBricks) Demonstrated experience in designing and implementing end to end data and cloud architectures including infrastructure, data pipelines, and application integration for complex and scalable environments Solid experience managing full lifecycle of solutions from ideation and proof of concept to industrialization production deployment and ongoing evolution & continuous improvement Proven track record in leading or coordinating cross-functional teams including Data & AI, infrastructure, security and external vendors* Proven ability to enable innovation and evaluate non-standard technologies, balancing agility with compliance and enterprise architecture in fast-evolving environments MISSION Act as the IT solution owner and trusted partner for the R&D Data Science team, collaborating closely with bioinformatics, molecular modelling, and AI Engineering to ensure alignment, proximity, and effective day-to-day collaboration. Own and support Data Science applications, both internally developed and third-party, ensuring business alignment, prioritization, and adoption. The role is accountable for end-to-end coordination, while execution of operations, architecture, security, compliance, and support is delivered in collaboration with specialized IT teams and external vendors. This role serves as a ring-fenced resource dedicated to Data Science needs, enabling faster decision-making, better communication, and more efficient delivery of IT services. It requires a strong scientific background and solid experience in R&D Data Science environments. #J-18808-Ljbffr

El puesto consiste en el desarrollo y mantenimiento de servicios backend sólidos y escalables usando Python. El trabajo diario incluye diseñar y construir APIs que incorporen inteligencia artificial y ciencia de datos en entornos de producción, trabajando con modelos de aprendizaje automático y Large Language Models (LLMs) para asegurar su correcto funcionamiento en sistemas ya existentes. También se define la arquitectura de servicios, se establecen límites claros, se modelan datos y se crean estrategias de persistencia eficientes, siempre priorizando la fiabilidad, la seguridad y la optimización de costes. Se desplegarán y operarán servicios en la nube, preferiblemente AWS, gestionando desafíos técnicos como la latencia, los límites de tasa de solicitudes, los reintentos y el manejo de datos sensibles. La colaboración con equipos de científicos de datos, gestores de producto e ingenieros de plataforma es clave para alinear el desarrollo técnico con los objetivos del negocio. Además, se participa en revisiones de código, se ofrece apoyo a otros miembros del equipo y se lideran discusiones técnicas para fomentar buenas prácticas e innovación. El contrato es de tipo temporal y a jornada completa, con un ambiente de trabajo dinámico centrado en ofrecer soluciones técnicas de alta calidad que impulsen el valor del producto final en Viladecans.

Descripción de la empresa Barrel.cloud es una empresa ubicada en Castelldefels (UPC) que ha desarrollado una solución punto a punto de captura automatizada, distribución y venta de fotos/vídeos para parques de atracciones, eventos, empresas de ocio y aventura, agencias de fotografía y fotógrafos freelance. Su motor de búsqueda de fotos está basado en reconocimiento de imagen (facial y texto) y machine learning permitiendo a los usuarios encontrar sus contenidos multimedia entre millones en milisegundos. Buscamos un/a técnico/a ensamblador Junior para responsabilizarse del ciclo completo de montaje y ensamblaje de un dispositivo remoto de captura fotográfica. La persona seleccionada se encargará de montar el dispositivo desde cero, incluyendo el ensamblaje de la carcasa y la integración de todos los componentes electrónicos que lo conforman, asegurando su correcto funcionamiento y la entrega conforme a los requisitos del proyecto. Responsabilidades principales - Montaje integral de un dispositivo de captura fotográfica remota desde cero. - Ensamblaje de la caja/carcasa y montaje mecánico de componentes. - Integración, conexión y verificación de componentes electrónicos. - Soldadura de componentes electrónicos y revisión de acabados. - Coordinación y comunicación con el equipo para y asegurar la correcta ejecución del proyecto. - Cumplimiento de plazos, estándares de calidad y buenas prácticas de montaje. Requisitos (imprescindibles) - Conocimientos básicos de electrónica. - Experiencia o capacidad demostrable en: -Soldadura de componentes electrónicos. -Manejo y comprensión de fuentes de alimentación. -Ensamblaje e integración de componentes (relés, buses, fuentes de alimentación, etc.) - Capacidad de trabajo en equipo y comunicación efectiva. - Motivación por aprender y mejorar continuamente. - Responsabilidad, compromiso y orientación a la entrega de proyectos. Se valorará (deseable) - Buenas habilidades comunicativas. - Conocimientos básicos de microordenadores tipo Raspberry Pi. - Conocimientos básicos de sistemas Unix/Linux. - Manejo del terminal y línea de comandos. - Programación en Python. - Conocimientos básicos de redes y operativa con routers. - Familiaridad con fotografía y cámaras réflex (DSLR). - Nivel de inglés funcional (técnico y/o comunicativo). Ubicación del trabajo: Empleo presencial

You will build robust services deployed in production, focusing on Python, FastAPI and a modern frontend stack with Vue.

Te interesaría seguir desarrollándote como Embedded/Python Developer en una empresa líder en el sector del material eléctrico, la iluminación y las soluciones conectadas? Desde Oxigent Technologies seleccionamos un/a Ingeniero/a de Embedded para incorporarse a un equipo R&D consolidado, con un

AI and advanced data analytics.Design, build, and maintain scalable backend services using.Develop clean, efficient, and well-documented code following best engineering practices.Translate business and product requirements into practical technical solutions.Collaborate with engineers, product teams,

Generative AI utilizando Python. No buscamos únicamente experiencia en Python.

Más de 5 años de experiencia en desarrollo Backend con Python. Python (FastAPI, Flask o Django) y soluciones de inteligencia artificial para unirse a proyectos de servicios backend escalables en entornos críticos, en Barcelona. Diseñar, desarrollar y mantener servicios backend utilizando Python

Se requiere experiencia en Odoo v16–v18, Python y PostgreSQL, con dominio de XML y QWeb; OWL es un plus.

Arquitecto Python con 8 años de experiencia para liderar el diseño, la arquitectura, el desarrollo y la evolución de una plataforma tecnológica de un cliente global. Se requiere dominio de Python y experiencia con APIs, microservicios y soluciones cloud nativas.

Manychat is seeking a Senior Python Engineer for Brands in Barcelona.

You will write Python and/or dotnet every day, enhancing an existing Python/C# backend, creating new services, and solving real-world business problems including a constraint optimization engine and integrations with our partners.

Qualifyze, a leader in supply chain compliance, is seeking a hands-on engineer to drive AI-powered automation and data transformation.You will partner with business teams to define problems, design scalable workflows, and deliver end-to-end solutions from PoC to production.You will build and maintai

Experience with python and pytest. For Treasury Automation our technical stack is: Python, FastAPI, Vue.

Ideal candidates should have at least 3 years of experience in Python, preferably with Django, and be fluent in both Spanish and English.

Python Governance: Define and enforce security and governance standards for Python development across the company. Proven Python Expert: 5+ years of professional experience in Python development, with a strong portfolio of automation projects. Build Solutions: Design, code, test, and deploy secure a

You will lead a player-coach approach, mentoring full-stack and backend engineers while staying hands-on with Python backends and React/TypeScript frontends.

You will work with Investment Management data, leveraging Python, Spark, and Databricks to enable analytics and reporting across global teams.

Ideal candidates have strong Python 3 skills, UNIX/Linux experience, and proficiency in workflow tools.

Design, develop, and maintain backend services and APIs using Python. Strong Python development experience in production environments.

Design, implement, and maintain systems using Python, FastAPI, and SQL. Strong proficiency in Python, FastAPI, and SQL (+4 Year of experience).

Jobtailor in Barcelona, Spain, seeks an engineer to manage a handful of Azure services, build clean, containerized software with Docker and OpenShift, and own end-to-end processes beyond typical dev tasks.You will support data scientists deploying architectures across core code, cloud/containers, an

Metrica busca incorporar un/a Desarrollador/a Python con al menos 3 años de experiencia para diseñar, desarrollar y mantener aplicaciones y scripts en Python.

We value 5+ years of Python experience, Django expertise, and hands-on Kubernetes, GitLab CI/CD, and AWS.

Te interesaría seguir desarrollándote como.Desde Oxigent Technologies seleccionamos un/a.IA generativa y automatización.Cuáles serán tus funciones principales?.Diseñar junto con los usuarios.Construir soluciones end-to-end.Automatizar procesos y aplicar IA generativa.Cómo serán tus primeros

You’ll build scalable Python systems, contribute across the stack, and collaborate directly with product and leadership to turn complex business needs into impactful technical solutions. Senior Python back-end engineer. Experience with Python web frameworks like Django or FastAPI;.

Core Technical Expertise: Solid backend development experience using Python and Shell scripting.

The position requires 3+ years in data or software engineering, strong Scala or Python and Spark skills, plus SQL and AWS experience.

Canonical is looking for Python and Kubernetes Specialist Engineers in Barcelona to develop open source solutions for public cloud and private infrastructure. The ideal candidate will excel in a distributed work environment, possessing a strong academic background and experience in Python and Kubern

A leading energy technology company in Barcelona is seeking a Mid-Level Python Developer to join their innovative team. You'll be involved in developing web applications using Python, integrating APIs, and improving delivery efficiency with AI/ML solutions.

ERNI предоставляет IT‑услуги и консалтинг, включая SaaS‑платформы для управления критически важными данными и корпоративными приложениями.Команды работают над сред�

Strong professional development experience with Python. Experience working with modern Python backend frameworks such as FastAPI, Django or similar. We are currently looking for a Senior Software Engineer (Python) to join their Engineering team and help build the embedded technologies powering the n