Data Engineer at inetum2 | Lisbon

About the Role inetum2 is looking for a Data Engineer in Lisbon to help build and refine our data architecture. This role focuses on designing, implementing, and maintaining scalable data pipelines and databases that serve both analytical and operational needs. What You Will Do Design and develop data pipelines to handle large volumes of data Implement and m…

Location: UK or Portugal Department: Engineering Employment Type: Permanent About YLD: At YLD, our mission is to empower our clients to continuously advance. We partner with them to cultivate the skills and capabilities necessary to outpace the competition, recognizing that our success is intrinsically linked to theirs. We are a collective of inquisitive and talented professionals dedicated to making YLD a desirable workplace for growth and retention. As a remote-first consultancy, we specialize in software engineering, product design, and data solutions. With teams spread across London, Lisbon, and Porto, we develop digital solutions that provide lasting value long after project completion. About the Role: As a Senior Data Engineer, you will collaborate with a client team to develop innovative products. We seek individuals who are curious, passionate, driven, and enthusiastic. Proficiency in problem-solving and the ability to design scalable, resilient, and fault-tolerant architectures are essential. Strong communication skills and teamwork are vital as you navigate a fast-paced engineering environment, achieving remarkable results and delivering exciting projects. About You: A Senior Data Engineer at YLD possesses advanced skills across both data engineering and analytics engineering, understanding the nuances between the two. You have experience in building data pipelines and transformation layers, have improved chaotic data projects, and possess thoughtful opinions on data team dynamics, with the flexibility to adapt these views based on context. Your passion for your craft drives you to actively learn and embrace the diverse challenges that consultancy presents: varying clients, technology stacks, and problems. Your Day-to-Day Responsibilities Will Include: Delivering data solutions on client engagements: pipelines, transformation layers, models, and supporting infrastructure. Adapting to diverse client contexts, including legacy warehouse migrations and rescuing struggling transformation layers. Defining and evolving internal standards for data work, including testing, documentation, project structure, and code reviews. Mentoring and developing data engineers within the organization. Participating in client team activities (internal presentations, learning sessions, social events) to foster strong working relationships. Contributing to proposals and aiding in shaping project approaches.

Join our dynamic team at inetum2 as a Data Analyst. In this role, you will leverage your analytical skills to interpret complex datasets, providing actionable insights that drive strategic decisions. You will collaborate with cross-functional teams to enhance data-driven strategies and improve our operational efficiency.As a Data Analyst, your key responsibilities will include data collection, processing, and analysis, as well as the creation of reports and dashboards to present findings to stakeholders. You will play a critical role in identifying trends and patterns within data that can help optimize business processes.

BPCE-SI, part of Natixis in Portugal, seeks a Lead Data Engineer based in Lisbon. This position plays a central role in shaping data architecture and driving major data initiatives throughout the organization. Key responsibilities Guide and mentor a team of data engineers as they tackle complex projects. Oversee the design and rollout of data solutions that align with business objectives. Contribute to the evolution of data strategy and architecture across the company. Encourage data-driven decision-making and work to enhance operational processes. About BPCE-SI BPCE-SI serves as the IT services arm for Groupe BPCE and operates under Natixis in Portugal. The team is dedicated to building dependable data systems that support the group’s business needs.

Are you prepared to be at the leading edge of technology as a Data Engineer with Netcompany? Join us to revolutionize the data landscape!As a Data Engineer, your responsibilities will include:Architecting and executing robust data pipelines using tools such as dbt, Trino, and Spark.Conducting dimensional modeling and data transformation to enhance data usability.Creating insightful dashboards and reports, with Power BI experience considered a plus.Writing efficient SQL queries and Python scripts to facilitate data processing.Containerizing data workflows and enabling hybrid deployments for optimal flexibility.Upholding data integrity and compliance standards.Working collaboratively with developers to test and validate seamless data integrations.

We are seeking an innovative and detail-oriented Data Engineer to join our team at inetum2. In this role, you will play a pivotal part in transforming data into actionable insights, enabling our clients to make informed decisions. You will work with advanced data technologies and collaborate with cross-functional teams to ensure data integrity and availability.

Role Overview Veeva Systems Inc. is looking for a Team Lead - Data Operations to join the Lisbon, Portugal office. This role guides a team focused on improving data processes that support Veeva’s solutions. The Team Lead manages daily data operations, maintains high standards of accuracy, and encourages teamwork across the group.

Join our dynamic team at lastminute.com as a Data Engineer, where you will play a pivotal role in enhancing the travel experience for millions of holidaymakers. If you thrive on leveraging data to drive business performance and enjoy tackling complex projects, we want to hear from you! Key Responsibilities:Architect & Build: Create and maintain scalable data pipelines and architectures on Google Cloud Platform (GCP).Innovate: Lead the adoption of cutting-edge technologies, utilizing AI to streamline data processes and uncover valuable insights.Collaborate: Work closely with internal teams and stakeholders to identify data needs and convert them into effective technical solutions.Prioritize: Balance competing demands and strategically prioritize projects to maximize business impact.Ensure Quality: Conduct rigorous testing and maintenance to ensure the reliability and scalability of our data systems.

We are seeking a skilled Project Manager specialized in Data Analysis to join our dynamic team at inetum2. In this role, you will lead projects that leverage data to drive decision-making and optimize business processes. You will collaborate with cross-functional teams to ensure project success and deliver high-quality results.Key Responsibilities:Oversee the planning, execution, and completion of data analysis projects.Utilize data-driven insights to inform strategic business decisions.Coordinate with stakeholders to define project goals and deliverables.Implement best practices in project management and data analysis.

Join Inetum, a leading innovator in digital services, where we drive growth and transformation through advanced technology solutions. We are seeking a highly skilled and motivated Senior Data Engineer to become part of our dynamic team. In this role, you will play a critical part in designing, developing, and optimizing data solutions that enhance business intelligence and analytics capabilities.If you are passionate about data, excel in collaborative settings, and relish tackling complex problems, this is your chance to make a significant impact!

About UsAt Riskified, we empower businesses to drive e-commerce growth by mitigating risk. Our platform is trusted by some of the world's leading brands and publicly traded companies in their online operations. We provide guaranteed protection against chargebacks, combat fraud and policy abuse at scale, and enhance customer retention. Our AI-powered fraud and risk intelligence platform, developed by a dedicated team of e-commerce risk analysts, data scientists, and researchers, analyzes each interaction to deliver real-time decisions and insightful identity-based analytics. We're proud to partner with a diverse range of exceptional companies, including Acer, Gucci, Lorna Jane, and GoPro.We excel in a collaborative environment that fosters innovation and product development that matters. The opportunity to contribute meaningfully drives our passion and purpose at Riskified, making it a fulfilling place to work.About the Role*** A third party will recruit, hire, and employ this position.The Data Science department is integral to our company, adding value through the development of algorithms and production-grade analytical solutions. We utilize advanced techniques such as classification models, NLP, anomaly detection, and deep learning to maximize the value of data. As a Data Scientist, you will engage in the entire project development cycle, implementing end-to-end solutions. This role requires a strong foundation in quantitative and analytical skills, proficiency in statistical modeling and machine learning, and a technical aptitude paired with a passion for problem-solving and driving data-informed decision-making.What You'll Be DoingData Exploration and Preprocessing: Collect, clean, and transform large, complex data sets from diverse sources to ensure data quality and integrity for analysis.Statistical Analysis and Modeling: Utilize statistical methods and mathematical models to uncover patterns, trends, and relationships in data, while developing predictive models.Machine Learning: Create and deploy machine learning algorithms, including classification, regression, clustering, and deep learning techniques, to address business challenges and enhance processes.Feature Engineering: Identify relevant features from structured and unstructured data sources, designing new features to improve model performance.

Join GoCardless as a Fraud Prevention Data Scientist, where you'll be instrumental in fortifying our payment platform against fraud. Collaborate with a talented team of Engineers and Fraud Analysts to design and implement cutting-edge predictive models that enhance our fraud detection capabilities. Your role will encompass the entire lifecycle of machine learning solutions—from initial feature engineering to deployment in a production environment—aimed at minimizing false positives and streamlining controls. Engage with cross-functional teams to ensure our machine learning products are scalable within our Google Cloud Platform infrastructure, fostering innovation in the fintech landscape while delivering an exceptional customer experience.

Join Our Innovative Team at Air AppsAt Air Apps, we are driven by the ambition to think beyond limits and accelerate progress. Founded in Lisbon, our company is on a transformative mission to develop the world's first AI-powered Personal & Entrepreneurial Resource Planner (PRP). With your talent and zeal, we can reshape how individuals plan, work, and live. Since our inception in 2018, we have grown organically, achieving over 100 million downloads globally.Our commitment to long-term innovation motivates us to challenge conventional practices daily, paving the way for AI solutions that genuinely enhance lives. Here, you'll have the opportunity to be a creative catalyst, crafting products that empower users worldwide.Embark on this exciting journey with us to revolutionize resource management and impact lives positively.Your Role as a Data EngineerAs a Data Engineer at Air Apps, you will play a crucial role in analyzing and interpreting data to generate valuable business insights and enhance product performance. You will be creating comprehensive reports, interactive dashboards, and key performance metrics that enable teams to make informed decisions and enrich user experiences.This position requires a strong analytical mindset, data-driven expertise, and proficiency with visualization tools to convert complex datasets into actionable insights.

As a Lead Data Scientist at NielsenIQ, you will spearhead innovative data-driven projects that provide actionable insights to our clients. You will lead a team of talented data scientists and collaborate with cross-functional teams to design and implement advanced analytics solutions that enhance our market understanding.

Join Our Team as a Data Research Consultant in Lisbon!Are you an expert in data analysis with a focus on the Portuguese market? Do you understand the intricacies of real estate and cadastral data processes? If you have experience in the telecommunications sector or have collaborated with municipalities to gather essential information, we want to hear from you!We are seeking a passionate and analytical Data Research Consultant to join our dynamic team for a 6-month contract, with potential for extension. In this role, you will:Provide expert guidance on navigating ownership processes and relevant regulations.Deliver insightful analysis and intelligence on real estate, cadastral, and industry-specific data.Work collaboratively with our team to source and compile critical information and contacts.Effectively scale data to enhance decision-making and strategic planning.Familiarity with GIS tools would be a significant advantage in this role.We are initially considering a diverse range of candidates to find the perfect match for our needs. If this opportunity resonates with you or if you know someone who fits the criteria, we highly encourage you to apply!Let’s collaborate to overcome data challenges together. Apply or refer someone who could be a great addition to our team!

YOUR BRIGHT FUTURE IN TECHNOLOGY STARTS HERE!Welcome to Zoi, where we are dedicated to driving the digital transformation of our enterprise clients. We bridge the gap between conventional IT and cutting-edge technologies, aiming to revolutionize the Retail and Manufacturing sectors with innovative cloud solutions that provide tangible benefits.We are excited to expand our European presence in Lisbon, with opportunities for travel between our various locations.In this pivotal role, you will spearhead the development and upkeep of our app tracking framework, while actively enhancing our tagging and tracking strategies and visualizing data to derive essential insights for informed business decisions.

Role Overview Join ComplyAdvantage as a Data Scientist, where you'll spearhead the development of innovative, data-driven solutions aimed at combatting financial crime on a global scale. Your primary responsibilities will be centered around Research & Development (R&D) and Strategic Initiatives, focusing on pioneering research in machine learning (ML), natural language processing (NLP), and Agentic AI to generate tangible business outcomes. Alongside in-depth R&D, you will also play a crucial advisory role for our Product and Engineering teams, equipping them with the quantitative insights and frameworks vital for scaling impactful, AI-driven functionalities. Key Responsibilities Innovate in R&D: Create high-impact prototypes for financial crime detection utilizing advanced multi-agent systems and retrieval-augmented generation (RAG) architectures based on foundational large language model (LLM) frameworks. Enhance Core Solutions: Collaborate closely with Engineering and Product teams to seamlessly integrate and optimize AI components and frameworks, ensuring they meet standards for reliability, scalability, and ethical performance in production. Assess LLM-based Systems: Contribute to the design and deployment of robust evaluation methodologies for LLM and Agentic AI systems, monitoring critical metrics related to task execution, reasoning accuracy, tool efficacy, and overall dependability. Review Model Context Protocol (MCP): Integrate our AI systems with external data sources and tools while offering engineering implementation recommendations. Understand Data: Cultivate a comprehensive understanding of our current data sources, identifying challenges and proposing improvements. Data Analysis: Employ exploratory data analysis and data mining techniques to uncover actionable insights for product enhancement, including behavioral patterns that can inform and refine agent behavior and prompt engineering strategies. Research & Innovation: Continuously investigate and assess emerging tools, technologies, and best practices in data science, particularly in the dynamic field of Agentic AI, to maintain ComplyAdvantage's leadership position. Cross-Functional Collaboration: Engage effectively with multidisciplinary teams to share best practices, expertise, and inspire innovation, fostering an AI-centric culture throughout the organization. Visualization & Roadmapping: Deliver clear data insights and visualizations that serve as a foundation for new concepts to be integrated into our solutions.

Join Veeva Systems, a trailblazer in the industry cloud space, dedicated to accelerating the delivery of therapies to patients. As one of the fastest-growing SaaS companies in history, we achieved over $2 billion in revenue last fiscal year and have significant growth opportunities ahead.Our core values—Do the Right Thing, Customer Success, Employee Success, and Speed—define our approach. We made history in 2021 by becoming a public benefit corporation (PBC), committed to balancing the interests of customers, employees, society, and investors.As a Work Anywhere company, we empower you with the flexibility to work from home or the office to thrive in your ideal environment.Become a part of our mission to transform the life sciences industry and make a meaningful impact for our customers, employees, and communities.The RoleVeeva Link plays a crucial role in the life sciences sector by connecting professionals with key individuals, thereby enhancing research and care. This platform significantly reduces the time-to-market for vital drugs, facilitates clinical trials with the most relevant experts, and disseminates information about new treatments within the life sciences community. Discover more about Veeva Link on our product pages at https://www.veeva.com/products/veeva-link/. As a Data Engineer, you will be instrumental in managing our data pipelines and will hold a significant responsibility in the Link data processing platform. We encourage end-to-end ownership, allowing you to identify, design, and implement enhancements to product data pipelines while adapting to the evolving market demands. You will be accountable for feature innovation employing SOLID and clean software principles, participating in architectural advancements, and ensuring the quality of outcomes. Monitoring and observability will be integral to your feature design process.

Join Devoteam as a Distributed Cloud | AI Data Architect, where you will leverage your expertise to design and implement innovative data solutions. Collaborate with cross-functional teams to enhance our cloud infrastructures and optimize AI data strategies, making a significant impact in the tech landscape.

Role Overview icatalentnetwork is hiring a Data Operations Analyst / CRM Business Analyst (Associate level) for its Lisbon, Portugal office. This role centers on CRM data integration, mapping, and governance. The goal: strengthen CRM adoption and reduce reliance on spreadsheets or fragmented solutions, creating reliable, system-based data workflows. Main Responsibilities Integrate and map incoming data sets from multiple business areas, including teams, tools, and platforms. Translate raw data into structured, governed CRM data models that support integrations, daily operations, and long-term reporting. Focus on data mapping, system alignment, and integration readiness, ensuring CRM data remains consistent, dependable, and scalable. Position Focus This role sits at the intersection of stakeholder data and CRM systems. While dashboards and analytics may result from your work, the primary emphasis is on building the foundation: mapping data, aligning systems, and preparing for seamless integrations.