193 English-speaking jobs in Coimbra District

Revenue Marketing Lead to own pipeline generation across inbound and outbound channels. Build and execute full-funnel programs, translate positioning into campaigns, and leverage AI to scale personalization and campaign velocity. 5-8+ years of experience in growth marketing, demand generation, or similar roles in B2B SaaS or AI required.

R&D Engineer - Data Science will research and develop computer vision, medical imaging, and AI algorithms. Responsibilities include training deep learning models for 3D vision applications and assisting with dataset maintenance. Requires a Master's degree in a relevant field and expertise in geometric computer vision and AI.

Develop and maintain CI/CD pipelines for database services. Automate environment provisioning, deployments, backups, and operational tasks. Manage Kubernetes XRDs and deploy databases across cloud and on-prem. Collaborate with DBAs, developers, and operations to improve reliability and scalability. Troubleshoot production issues and implement preventive fixes.

Data Architect needed for enterprise-scale data platform design and delivery. Requires experience with AWS services (S3, Redshift, Glue, Kinesis), SQL-based data transformation, dbt, BI/reporting tools, and data platform security/governance. Fluency in English is required.

Fujitsu seeks a Power BI Developer to transition existing dashboards to a new cloud-based Qlik Sense platform. Responsibilities include dashboard migration, data integration, report development, stakeholder collaboration, and documentation. Proven Power BI experience, data modeling, and DAX expertise are required.

Digital Growth Marketing Expert to drive user growth and engagement for a rapidly growing restaurant & hospitality job site. Responsibilities include analytics, CRO, email marketing, social media campaigns, and A/B testing. Requires 3+ years of experience with data-driven experimentation, product analytics tools, and email marketing platforms.

Support the design, development, and maintenance of data pipelines in Databricks using PySpark, Spark SQL, Delta Lake, and Databricks Workflows. Assist in analyzing data challenges and implementing solutions. Collaborate with data analysts and engineers to deliver analytics-ready datasets. Contribute to building and maintaining data models, transformations, and workflows within the Databricks environment. Monitor and troubleshoot pipelines, ensuring data quality and performance. Manage data access, structure, and governance within UnityCatalog. Automate ingestion and orchestration processes using Auto Loader and Databricks Workflows. Apply data engineering best practices including testing, documentation, version control, and peer review. Communicate with stakeholders and team members to understand priorities and support successful delivery. Work effectively in an Agile software engineering environment.

Experienced Test Lead sought for long-term contract in Portugal. Requires telecom domain knowledge (OSS, BSS), Salesforce experience (Sales & Marketing Cloud), and automation testing expertise (Robot Framework, Playwright, Cypress). Must have hands-on experience with performance testing (jMeter, K6), API validation tools (Postman, Bruno), and proficiency in Python, JavaScript, SQL, DevOps, and Git.

Lead and enhance QA processes for Salesforce CPQ solutions. Design, execute, and maintain manual test cases. Act as a subject matter expert in Salesforce CPQ environments. Collaborate with teams to identify defects and ensure product reliability.

Azure Senior Data Engineer specializing in Microsoft Azure tools. Supports data collection, aggregation, storage, and accessibility for analysis and decision making. Translates business requirements into technical solutions and has experience with Databricks, Data Factory, and T-SQL.

Technical Writer will create user-friendly documentation by translating complex technical concepts and source code into clear content. Collaborate with engineers, utilize AI-assisted tools, and ensure documentation accuracy, clarity, and usability.

Leads strategic planning and execution of data and analytics solutions. Architects and develops data frameworks, libraries, and components. Designs and implements secure data integration strategies and data science pipelines. Oversees data acquisition, processing, and optimization in a cloud platform (Azure). Partners with stakeholders to model data landscapes and promote a data-driven culture. Mentors junior architects and data engineers.

QA Automation Engineer needed to design, write, and maintain automated tests for web applications using Cypress, Selenium, or similar tools. Collaborate with development teams to integrate tests into CI/CD pipelines and execute manual test cases.

Senior Data Scientist will partner with marketing and product teams to define data metrics and analyses to drive strategic decisions. Responsibilities include creating, monitoring, and improving statistical models for marketing spend optimization and product growth. The role requires expertise in Python or R, SQL, and cloud platforms.

Leads and coordinates daily team operations, ensuring efficient workflows and performance. Enforces company standards and guidelines. Drives performance and talent management, promoting a safe work environment and continuous improvement initiatives.

Senior Google Ads operator to scale eCommerce accounts profitably. Must be highly skilled in Google Ads, detail-oriented, and a strong communicator.

Perseus is seeking an M&A Manager to build strategic relationships with software companies, M&A advisors, and investors globally. The role focuses on sourcing and qualifying M&A opportunities, developing a pipeline through Salesforce CRM, and exceeding monthly targets.

The Customer Happiness Specialist engages leads, understands customer needs, recommends culinary experiences, and guides bookings. This role involves providing customer support, resolving issues, and collaborating with chefs and venue partners.

As a Customer Support Specialist, you will provide first-line support to customers, resolving issues, and ensuring successful product adoption. You will handle inquiries via phone, email, and chat, track feature requests, and collaborate with internal teams to deliver excellent customer experiences.

Lead and mentor a team of Data Engineers, designing and building scalable data platforms and pipelines. Shape the organization's data strategy, connecting data across teams and products.