1893 electrical engineering English-speaking jobs in Lisbon District

How You Work You treat AI as an engineering discipline. ... This is applied engineering work: building agentic workflows, retrieval pipelines, and orchestration ... Our work spans industries, but always centers on production-ready AI, strong engineering, and real-world ... You're strong in Python and fluent in the patterns of modern LLM engineering: agents, MCP, skills, tool ... You care about observability, maintainability, and the underlying engineering that makes the interesting

• Proficiency in cloud-native engineering, with a focus on Microsoft technologies (Fabric, Azure Data ... Experience: • Minimum 8 years of experience in data engineering, with a focus on cloud-native solutions ... • Translate complex engineering decisions into clear, accurate explanations for non-technical stakeholders

We provide services in the areas of production, logistics, data engineering (IT), engineering, consulting ... At the Innovation & Engineering Hub, we develop bold, market-ready solutions that support Volkswagen ... Systems Digitalization Automated Driving Road Safety We’re not just manufacturing vehicles — we’re engineering

Do you enjoy combining strong software engineering with advanced AI techniques? ... Prompt engineering is treated as a structured discipline, supported by measurable evaluation strategies ... The focus is on engineering reliable systems that last—AI is not the end goal, but a powerful enabler.From ... understanding of user workflows to deployment and monitoring, the work directly impacts how teams across engineering ... working students, guiding them through experiments, evaluation methods, and continuous improvement.On the engineering

to improve workflows and output, and workflow automation. 3+ years in Marketing Operations, Growth Engineering ... LangChain, Make.com, or platform-native AI agents) and are comfortable working with LLM APIs and prompt engineering

sign‐off on releases from a quality perspective.Process & CollaborationPartner with Product Management, Engineering

development of products that significantly enhance Riskified's core offerings.Collaborate closely with engineering

API validation, and infrastructure review while helping maintain a strong quality culture within the engineering ... queries, and data integrityin systems using PostgreSQL or similar relational databases.Collaborate with engineering

(SRE), DevOps, or System Engineering .Strong knowledge ofcloud platforms(AWS, Azure, or GCP) and cloud-native ... address system failures and minimize downtime.RequirementsAround4+ yearsof experience inSite Reliability Engineering

questionnaires, and data protection assessmentsCollaborate cross‐functionally with Legal, the DPO, Product, Engineering

domains, including: AI & ML Projects (40–60%), B2B & B2C E-commerce Platforms (20%), DataOps & Data Engineering

will help coordinate and operationalize data management initiatives across business, analytics, and engineering ... Governance CoordinationCoordinate and facilitate data management initiatives across business, analytics, and engineering

application designFact-check technical information related to Kotlin, Android development, backend engineering ... safety, coroutines, asynchronous programming, and functional programming idiomsProfessional software engineering

, Analytics Engineering, or similar rolesStrong expertise in SQL and data modelling best practicesProven ... to evolving tooling and architectural decisionsRequired Experience:Senior‐level experience in Data Engineering ... This role requires a highly versatile, SQL‐first engineer who can confidently operate across both data engineering ... using version control systems such as GitHub or GitLabComfortable working across both analytics and engineering ... DBTImprove data quality, testing, and observability practicesWork closely with analytics, product, and engineering

Lead profile Technical background Candidates should demonstrate solid experience across modern data engineering ... storage, and orchestration patterns such as Medallion architectureProven experience in cloud‐native engineering ... Lake ,Delta Lake , orAmazon RedshiftProficiency in languages and technologies commonly used in data engineering ... the long‐term development of the platformExperience requiredMinimum of8 years of experiencein data engineering ... assess trade‐offs and make sound, well‐justified technical decisionsConfidence in translating complex engineering

, and risk stakeholders to define success metrics and model requirements.Contribute to ML engineering ... You will work closely with engineering, data, product, and risk teams to develop models and infrastructure ... and customer outcomes.This is a hands-on role focused on applied machine learning, strong software engineering ... performance, data quality, and drift in production; iterate based on results.Partner with product, engineering ... for underwriting, fraud detection, and risk assessment.Build and maintain training pipelines, feature engineering

tools, LLM APIs, prompts, retrieval/context patterns, or AI-assisted workflows - and who also has the engineering ... Rails experience, ideally at a senior level Good judgment about when AI is useful and when simpler engineering ... for WordPress, used on 1.5M+ sites Fully remote, async-friendly: Work from anywhere within EMEA hours Engineering-driven

You take engineering fundamentals seriously. ... How You Work You treat product engineering as a craft. ... This is applied engineering work: building responsive front-ends, robust back-ends, and the data and ... Our work spans industries, but always centers on production-ready AI, strong engineering, and real-world ... You care about UX details, performance, observability, and the underlying engineering that makes the

If you are passionate about software engineering, clean architecture, and delivering scalable solutions ... , Computer Science, Software Engineering, or related field What We're Looking For Professional Skills ... GitLab ✔ H2 Database ✔ PostgreSQL ✔ Maven ✔ Gradle ✔ SonarQube Experience ✔ 5+ years of Software Engineering ... Experience designing and developing enterprise applications Education ✔ Bachelor's Degree in Computer Engineering

Qualifications You have: 2+ years of experience in data integration, analytics engineering, or BI development