Master Data Lab is looking for an Account Manager to join our team in Lisbon. We are seeking a commercially-driven profile with strong relationship-building skills and strategic vision, who is passionate about data, technology, and innovation.

Requirements

• Fluent English (spoken and written) — mandatory.
• Availability to work on-site in Lisbon.

Benefits

• Meal Allowance
• Health Insurance
• Transportation Allowance

Working Hours

• Monday to Friday, 9 AM to 6 PM (1-hour lunch break).
• Total of 40 hours per week.

Responsibilities

• Manage relationships with existing Master Data Lab clients.
• Prospect and develop new clients and business opportunities.
• Attend meetings with clients and partners (on-site and online).
• Prepare commercial proposals and solution presentations.
• Monitor client satisfaction and ensure account retention.
• Identify upselling and cross-selling opportunities.
• Track KPIs and commercial targets.
• Liaise with internal teams (Marketing, Projects, Production).
• Ensure proper execution and monitoring of contracts and deliverables.
• Actively contribute to the company's expansion strategies in Portugal and internationally.
• Update and maintain CRM with client and opportunity data.
• Support the preparation of monthly commercial performance reports.

Hard Skills

• Fluent English — mandatory.
• Proven experience in account management and/or consultative sales.
• Proficiency with CRM tools (HubSpot, Pipedrive, or similar).
• Strong skills in creating presentations (Google Slides, PowerPoint).
• Knowledge of negotiation techniques and preparation of commercial proposals.
• Proficiency in digital tools (Google Workspace, MS Office).

Soft Skills

• Excellent verbal and written communication.
• Proactive and hands-on profile.
• Empathy and ability to build strong client relationships.
• Strong organizational and time management skills.
• Results-oriented with strategic business vision.
• Ability to work collaboratively in a dynamic environment.

If you are passionate about innovation, technology, and believe in the power of data to transform businesses — we want to meet you! 🚀

This position is supported by the European Social Fund, with a preferential focus on unemployed candidates.

 📩 Please send your CV and salary expectations to: adm@masterdatalab.com

This is a full-time, hybrid Project Manager role based in Lisbon. The Project Manager will oversee data and AI projects from initiation to delivery, ensuring alignment with client objectives, timelines, and quality standards. Responsibilities include coordinating cross-functional teams, managing project plans, budgets, and risks, and facilitating communication between stakeholders, technical experts, and vendors. The role involves monitoring project progress, preparing status reports, and resolving issues related to logistics, expediting, and inspection activities. The Project Manager will support continuous improvement, contribute to best practices in project governance, and help ensure successful outcomes for data and AI initiatives.

Requirements

• Project Management skills, including planning, scheduling, risk management, and stakeholder coordination. 
• Expeditor and Expediting skills to manage timelines, track deliverables, and ensure on-time completion of project milestones. 
• Inspection skills to oversee quality checks, compliance with standards, and verification of project outputs. 
• Logistics Management skills to coordinate resources, materials, and workflows across teams and vendors.
• Experience managing data, AI, or technology projects, ideally within consulting or enterprise environments.
• Strong analytical, organizational, and problem-solving abilities, with attention to detail.   
• Effective written and verbal communication skills, with the ability to interact with technical and non-technical stakeholders. 
• Bachelor’s degree in Engineering, Computer Science, Business, or a related field; a project management certification (e.g., PMP, PRINCE2, Agile) is an advantage. 
• Ability to work on-site in Lisbon and collaborate in a diverse, multidisciplinary team environment. 
• Fluency in Portuguese is required

If you are passionate about innovation, technology, and believe in the power of data to transform businesses — we want to meet you!

Apply Here🚀

 📩 Please also send your CV to: adm@masterdatalab.com

The Functional Analyst is a full-time, on-site role based in Lisbon. This role involves gathering, analyzing, and documenting functional requirements in close collaboration with business stakeholders and technical teams. The Functional Analyst will map and optimize business processes, translate business needs into clear functional specifications, and support solution design for data and AI projects. Daily tasks include conducting workshops and interviews, preparing functional documentation, performing gap and impact analyses, and supporting testing and validation of implemented solutions. The role also includes ongoing collaboration with project managers and engineers to ensure solutions meet business objectives and align with data governance and AI best practices.

Requirements

• Strong functional analysis skills, including the ability to translate business needs into clear and structured functional requirements. 
• Experience in business analysis and business process mapping, with the ability to identify inefficiencies and propose improvements. 
• Excellent analytical skills for understanding complex data, systems, and workflows, and for supporting decision-making. 
• Knowledge of requirements management practices, including documentation, traceability, and change management. 
• Familiarity with data-driven and AI-enabled solutions, preferably in consulting or technology-driven environments. 
• Ability to work collaboratively with cross-functional teams and communicate effectively with both technical and non-technical stakeholders. 
• Bachelor’s degree in Business, Information Systems, Engineering, or a related field, or equivalent practical experience. 
• Proficiency in Portuguese; additional European languages are an advantage. 
• Experience with process modeling tools, requirements tools, or project management methodologies is beneficial. 
• Certification AZ-900: Microsoft Certified: Azure Fundamentals or PL-200: Microsoft Certified: Power Platform Functional Consultant required. 

If you are passionate about innovation, technology, and believe in the power of data to transform businesses — we want to meet you!

Apply Here🚀

 📩 Please also send your CV to: adm@masterdatalab.com

This is a full-time, on-site Data Engineer role based in Lisbon. The Data Engineer will design, build, and maintain scalable data pipelines and architectures to support analytics, AI, and business intelligence initiatives. Daily responsibilities include developing and optimizing ETL processes, implementing data models for operational and analytical systems, and supporting data warehousing solutions. The role involves collaborating with data scientists, analysts, and business stakeholders to ensure data quality, reliability, and security, as well as monitoring performance, troubleshooting issues, and contributing to continuous improvement of the data ecosystem.

Requirements

• Candidates should possess strong skills in Data Engineering and building scalable data solutions. 
• Candidates should possess skills in Data Modeling and designing schemas for analytical and transactional systems. 
• Candidates should possess skills in Extract Transform Load (ETL) and Data Warehousing. 
• Candidates should possess skills in Data Analytics and working with large, complex datasets. 
• Experience with SQL and at least one programming language commonly used in data engineering (e.g., Python, Scala, or Java). 
• Familiarity with cloud data platforms (e.g., AWS, Azure, or GCP) and modern data tools (e.g., Spark, Kafka, dbt, or Airflow) is beneficial. 
• Understanding of data governance, security, and best practices for handling sensitive information. 
• Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent practical experience. 
• Ability to work collaboratively in a multidisciplinary team and communicate technical concepts to non-technical stakeholders. 
• Strong problem-solving mindset, attention to detail, and willingness to learn new technologies and methods.
• Proficiency in Portuguese; additional European languages are an advantage.  
• Certification AI 102: Microsoft Azure AI Engineer Associate, DP-700: Microsoft Certified: Fabric Data Engineer Associate or DP-203: Microsoft Certified: Azure Data Engineer Associate required. 

If you are passionate about innovation, technology, and believe in the power of data to transform businesses — we want to meet you!

Apply Here🚀

 📩 Please also send your CV to: adm@masterdatalab.com

 The Data Architect is a full-time, on-site role based in Lisbon. This role is responsible for designing, implementing, and maintaining data architectures that support data governance, analytics, and AI-driven solutions. Day-to-day tasks include defining data models, designing data warehousing structures, and overseeing ETL processes to ensure data quality, consistency, and security. The Data Architect collaborates with data engineers, data scientists, and business stakeholders to align data infrastructure with strategic objectives and regulatory requirements. The role also involves documenting technical designs, recommending improvements to existing data systems, and supporting the implementation of best practices in data management.

Requirements

• Candidates should possess strong skills in Data Architecture and Data Modeling to design scalable and efficient data solutions. 
• Candidates should possess skills in Data Governance to ensure data quality, compliance, security, and lifecycle management. 
• Candidates should possess skills in Extract Transform Load (ETL) and Data Warehousing to build and optimize data pipelines and storage solutions. 
• Candidates should possess practical experience with SQL and one or more modern data platforms (e.g., cloud data warehouses, data lakes). 
• Candidates should possess the ability to work with cross-functional teams, translate business requirements into technical designs, and produce clear documentation. 
• Candidates should possess a solid understanding of data privacy regulations and best practices in enterprise data management. 
• Relevant academic background in Computer Science, Information Systems, Data Engineering, or a related field, or equivalent professional experience. 
• Experience in AI, analytics, or business intelligence environments and proficiency with modern data modeling tools are beneficial. 
• Proficiency in Portuguese; additional European languages are an advantage. 
• Certification PL-600: Microsoft Power Platform Solution Architect, AZ-305: Microsoft Azure Solutions Architect Expert or AI-102: Microsoft Azure AI Engineer Associate required. 

If you are passionate about innovation, technology, and believe in the power of data to transform businesses — we want to meet you!

Apply Here🚀

 📩 Please also send your CV to: adm@masterdatalab.com

As a Frontend Developer at Master Data Lab, you will build and maintain user-facing web interfaces that support data and AI-driven solutions. You will translate design mockups and product requirements into clean, efficient, and reusable code, ensuring responsive layouts and consistent user experiences across devices and browsers. You will collaborate closely with designers, backend developers, and data engineers to integrate frontend components with APIs and data services. Daily tasks include implementing new features, refining existing interfaces, optimizing performance, and adhering to accessibility and security best practices. This is a full-time, on-site role based in Lisbon.

Requirements

• Candidates should have a minimum of 3 years of professional experience in the development, testing, and/or maintenance of applications using Microsoft Power Platform, including Canvas Apps, Dataverse, and Power Automate, and/or cloud-native frontend frameworks such as Angular, React, or Vue. 
• Candidates should possess strong Front-End Development skills, including modern JavaScript frameworks (e.g., React, Vue, or Angular), HTML, and CSS. 
• Candidates should possess Responsive Web Design and Web Development skills to create accessible, cross-browser, and mobile-friendly interfaces. 
• Candidates should possess Software Development skills, including version control (e.g., Git), testing, debugging, and adherence to clean coding practices. 
• Candidates should ideally understand Back-End Web Development fundamentals to collaborate on API integration and overall system design.
• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.  
• Experience working in data-focused or AI-driven environments is beneficial. 
• Ability to work collaboratively in multidisciplinary teams and communicate clearly with technical and non-technical stakeholders. 
• Strong problem-solving mindset, attention to detail, and willingness to continuously learn new frontend and data-related technologies. 
• Certification PL-400: Microsoft Power Platform Developer Associate required. 
• Proficiency in Portuguese; additional European languages are an advantage. 

If you are passionate about innovation, technology, and believe in the power of data to transform businesses — we want to meet you!

Apply Here🚀

 📩 Please also send your CV to: adm@masterdatalab.com

The Artificial Intelligence Engineer will design, develop, and deploy AI and machine learning models that support data-driven products and solutions for clients. Day-to-day tasks include building and optimizing data pipelines, implementing algorithms for pattern recognition, natural language processing, and neural networks, and integrating these models into production-grade software systems. The role involves collaborating with data engineers, data scientists, and business stakeholders to translate requirements into robust technical solutions, as well as evaluating and improving model performance over time. The Artificial Intelligence Engineer will also document architectures, maintain code quality, and stay current with emerging AI frameworks and tools. This is a full-time, on-site role based in Lisbon.

Requirements

• Candidates should have a minimum of 3 years of professional experience in designing and implementing backend solutions in cloud environments, including service integration, data integration, and Python programming. 
• Candidates should have practical experience with the design, testing, and optimization of prompts for large language models, as well as the use of LLMs for classification, information extraction, summarization, and text generation tasks. 
• Candidates should possess solid knowledge of cloud components, AI solution architectures, generative AI architectures, and prompt engineering practices. 
• Strong foundation in Computer Science, including algorithms, data structures, software design principles, and backend development best practices. 
• Proficiency in Python and experience using AI, machine learning, and generative AI libraries, frameworks, or APIs. 
• Hands-on experience with machine learning, neural networks, natural language processing, and pattern recognition, including training, evaluation, optimization, and integration of models into software systems. 
• Experience with data engineering concepts, such as data pipelines, ETL processes, data integration, APIs, and working with structured and unstructured data. 
• Familiarity with machine learning and deep learning frameworks such as TensorFlow, PyTorch, scikit-learn, or equivalent tools. 
• Experience with cloud platforms and cloud-native development practices is expected, including the ability to integrate backend services, AI services, databases, storage, and data processing components. 
• Experience with version control tools such as Git, software testing, debugging, documentation, and clean coding practices. 
• Ability to collaborate in multidisciplinary teams, communicate technical concepts clearly, and document solutions effectively for both technical and non-technical audiences. 
• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field is preferred, although equivalent practical experience will also be considered. 
• Experience working on-site with stakeholders and teams, strong analytical thinking, problem-solving skills, attention to detail, and willingness to continuously learn new AI, cloud, and generative AI technologies are expected. 
• Fluency in Portuguese is mandatory. Professional proficiency in English is considered an advantage. 

If you are passionate about innovation, technology, and believe in the power of data to transform businesses — we want to meet you!

Apply Here🚀

 📩 Please also send your CV to: adm@masterdatalab.com