Ai & Data Engineering
hace 3 días
Barcelona
ppDescripción del trabajo This job is with HP, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. AI Data Engineering Description - We are looking for a highly capable engineer who is excited to build the data and AI foundations behind the next generation of intelligent products and industrial solutions. In this role, you will help shape scalable data platforms, production‑grade software components, and AI‑ready systems that enable better decisions, smarter operations, and meaningful innovation in additive manufacturing. This is an opportunity to work at the intersection of software engineering, data engineering, and applied AI, with real ownership and visible business impact. You will contribute to systems that must be reliable, secure, scalable, and built to support advanced analytics, machine learning, and LLM‑enabled use cases. We are looking for someone who combines strong engineering discipline with curiosity, product thinking, and a drive to turn modern data and AI capabilities into practical value. /p h3Responsabilidades /h3 ul liDesign and build scalable data pipelines, data models, and data services that power analytics, machine learning, and AI applications in production. /li liRaise the quality and trustworthiness of data through automated validation, monitoring, lineage, and observability practices. /li liPrepare and optimize structured and unstructured datasets for advanced analytics, ML, and LLM‑enabled use cases. /li liPartner with product, analytics, and business stakeholders to deliver data products and intelligent workflows with measurable operational impact. /li liHelp turn AI opportunities into deployable solutions by building AI‑ready datasets, reusable data assets, and robust data preparation workflows. /li liContribute to ML and LLM use cases by enabling traceability, versioning, metadata management, and governance across the data lifecycle. /li liApply modern engineering practices and AI‑assisted development tools to improve delivery speed, solution quality, and team productivity. /li liDesign, develop, and maintain production‑grade software applications, services, and APIs using secure, scalable, and maintainable engineering practices. /li liBuild and operate platform components that make data and AI solutions easier to deploy, integrate, and use across the organization. /li liReview code, solve performance and reliability issues, and continuously improve system resilience, scalability, and maintainability. /li liCollaborate closely with engineering, DevOps, QA, analytics, and business teams to deliver and support high‑quality production solutions. /li /ul h3Education Experience /h3 ul liBachelor's or Master's degree in Computer Science, Software Engineering, Data Engineering, or a related technical field. /li li4–7 years of experience in software engineering, data engineering, or closely related technical roles, with a strong track record of delivering production systems. /li /ul h3Knowledge Skills /h3 ul liProgramming: Python, Java, Go, JavaScript/TypeScript, SQL. /li liCloud Data Platforms: Azure, AWS or GCP; modern data platform and storage concepts. /li liSoftware Engineering: APIs, microservices, Docker, Kubernetes, and scalable platform design. /li liData Engineering: ETL/ELT pipelines, data modeling, orchestration, data quality, and big data processing. /li liAI Analytics: familiarity with ML workflows, LLM‑enabled use cases, AI‑ready data preparation, and data governance principles. /li liMethodologies: Agile, DevOps, CI/CD, testing, and continuous improvement mindset. /li liDomain knowledge in additive manufacturing will be valued. /li /ul h3Soft Skills /h3 ul liStrong communication skills and the ability to work effectively across technical and non‑technical teams. /li liAnalytical problem‑solving skills with a practical, engineering‑first approach to complex challenges. /li liCuriosity, adaptability, and a continuous learning mindset in a fast‑evolving technology landscape. /li /ul h3What we offer /h3 ul liA truly international experience: Work in a global organization with colleagues from 60+ nationalities, collaborating across cultures and geographies. /li liContinuous growth career development: Multiple internal mobility and career opportunities, supported by HP's learning platform to keep growing your skills. /li liCompetitive benefits package, including: /li liHybrid work model (home office / office), depending on the role/functions. /li liHealth Life insurance. /li liTicket Restaurant Vouchers or lunch at reduced prices at our canteen. /li liFlexible working hours to support work‑life balance. /li liHP Flex Program: Kindergarten vouchers Transport Card. /li liExclusive HP products offers and discounts for employees, friends and family. /li liInclusion belonging at the core: Join our global employee networks such as Women, Pride, Inclusion, NextGen, Sustainability DisAbility, with opportunities to get involved locally. /li liGive back to the community: Participate in volunteering initiatives or join our annual HP Charity Day held onsite. /li liStay active energized: Access our sports center (indoor outdoor) with 25+ coordinated activities. /li liOnsite medical services: Doctor and medical team available for annual checkups, nutrition, oral hygiene, physiotherapy, and general health. /li liCreativity innovation: Enjoy our Printing Happy Hour-from photos to large posters-and hands‑on workshops using the latest printing technologies, from wall covers to 3D printing. /li liEasy commuting: Free parking available or excellent access via nearby train services. /li liWomen Network initiatives: Networking events, STEM promotion, business acumen talks, work‑life balance sessions, and future‑skills development. /li /ul pSales Services Entity Job - Data Information Technology Schedule - Full time Shift - No shift premium (Spain) Travel - Relocation - Equal Opportunity Employer (EEO) - HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s). Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence. For more information, review HP's EEO Policy or read about your rights as an applicant under the law here: "Know Your Rights: Workplace Discrimination is Illegal" /p /p #J-18808-Ljbffr