8158 English-speaking jobs in Community of Madrid

Lead and scale a global Web3 sales team, driving revenue growth and strategic partnerships. Build a high-performing organization focused on Tier-1 players and large-scale deals.

Test Lead ensures software development teams apply testing methodology and collaborates to ensure product quality. Defines test plans, executes tests, and reports findings. Automates test cases and maintains automation. Coordinates testers, analyzes test processes, and provides quality status updates to management. Requires experience with Selenium/Junit, Java, and automation frameworks. Minimum 5 years in solution quality assurance with experience in equipment testing.

Full Stack Engineer needed for design, implementation, testing, and deployment of front-end and back-end applications. Requires experience with front-end and back-end languages, databases, and UI/UX design.

Cyber Threat Intelligence Analyst will identify, analyze, and investigate cyber threats. Responsibilities include researching threats, analyzing information sources, conducting investigations, developing intelligence products, and collaborating with internal and external organizations. Requires a degree, 5+ years of experience in cyber intelligence or a related field, knowledge of intelligence analysis, and English fluency.

Develop and implement global talent acquisition strategies aligned with regional business objectives. Lead and shape the regional talent acquisition strategy and portfolio management for Europe.

Associate of Portfolio Management will actively manage lending portfolios in Spain & Portugal, focusing on Energy & Infrastructure project finance. Responsibilities include credit reviews, risk monitoring, and collaborating with internal teams.

Designs, implements, and manages secure, scalable cloud solutions on Azure. Drives cloud migration of on-premise infrastructure and applications. Communicates architecture decisions and collaborates with teams to optimize application environments. Automates infrastructure using tools like Terraform.

Gain insight into administrative, financial, and HR processes at Publicis Groupe. Support with tasks, document management, financial monitoring, and HR assistance.

Senior Data Engineer to design, develop, and optimize data platforms focused on advanced analytics and Business Intelligence at a global scale. Responsibilities include designing data models, developing data pipelines, and implementing security measures. Requires 3 years of experience in data engineering, advanced expertise in Azure Data Platform, and strong knowledge of data model design in Lakehouse architectures.

Publicis Groupe seeks an Advance Analytics Specialist to extract, validate, and automate SQL queries (BigQuery) for data quality. Responsibilities include creating and maintaining workflows, collaborating with internal teams, and presenting to clients. The ideal candidate has expertise in mathematical methodologies, data management, and data architecture.

ERIS seeks an Advanced Analytics Manager to lead analytics initiatives and drive data excellence. Responsibilities include defining and leading the analytics strategy, overseeing model development, mentoring a team, and collaborating cross-functionally. Requires expertise in econometrics, analytics, digital attribution, and experience with SQL, Python, R, and Google Cloud Platform.

Plan, activate, and optimize programmatic campaigns across Display, Video, Native, CTV, and Programmatic Audio formats. Develop and implement audience targeting strategies based on data insights and contextual signals. Monitor campaign performance and optimize toward key KPIs. Produce performance reports and insights. Collaborate with planning, analytics, and account teams. Manage Private Marketplace (PMP) deals and preferred deals with publishers.

Develops backend architecture for conversational agents and LLM-based systems. Designs and builds agents using frameworks like Google ADK or LangChain. Develops asynchronous APIs with FastAPI and implements scalable architecture. Integrates with LLMs like Google Gemini or Azure OpenAI. Requires strong Python backend development experience, FastAPI, and LLM integration experience.

As a CRM Consultant, you will design and optimize CRM solutions, turning data into actionable insights and streamlining customer journeys. You will manage and optimize end-to-end CRM campaigns, analyze historical data, and support brand teams with data-driven recommendations.

Develop reporting, automation, and data analysis solutions, integrating AI capabilities. Analyze business information needs, design reports, and automate processes. Work with databases, SQL, and tools like Python or .NET to develop and maintain internal analysis tools. Collaborate with teams to translate business problems into data- or AI-based solutions.

The AWS Developer will evolve, stabilize, and optimize the technology stack related to CRM and the digital ecosystem. Responsibilities include evaluating the technology stack, overseeing architecture, identifying improvement opportunities, designing API integrations, automating processes, and optimizing the technology ecosystem.

As a Data Project Manager, you will track measurement projects, implement data efficiency tools, and build the strategic foundation for data-driven marketing efforts. You will work with clients to achieve goals through brand and acquisition campaigns, site optimization, and online testing strategy.

Apex Activation specialist for Paid Social campaigns across Meta, TikTok, and LinkedIn. Responsibilities include campaign setup, optimization, performance monitoring, and reporting. Requires 2-4 years of experience in performance marketing and hands-on experience with campaign management platforms.

Leads a team to maintain and improve data center IT infrastructure, including hardware troubleshooting and ensuring critical systems run smoothly. Manages IT support, project tasks, and asset management. Requires 5+ years of team management and server hardware troubleshooting experience, data center operations knowledge, and ITIL methodology understanding.

Partner with regional Sales Teams to qualify leads, identify client pain points, and create technical solutions. Lead the enterprise client engagement lifecycle, from pre-sales solutioning to project implementation. Provide thought leadership and industry knowledge across cloud and ML products.